If your target buyers are asking ChatGPT, Gemini, or Claude for software or agency recommendations, does your company show up at all?
Generative search and AI-driven discovery are no longer emerging trends—they are fundamental shifts in how B2B buyers find, evaluate, and choose vendors. According to a Conductor study on AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization), over 90% of CMOs plan to increase their GEO budget allocations to keep pace with changing search behaviors.
When prospective buyers ask AI engines for the top service providers or SaaS solutions in mission-driven sectors—whether in healthcare, higher education, associations, or nonprofits—AI search engines are actively choosing who to recommend. If your competitors consistently appear in those answers while your brand remains silent, it isn’t random. It comes down to one core reality: Your competitors have built a clearer, more authoritative brand entity across the web.
Below is a step-by-step breakdown of what you can do to increase your visibility on AI recommendation engines.
Step 1: Diagnose the gap — Pure Visibility vs. Brand Evaluation
When analyzing why AI search engines are skipping your brand, you need to differentiate between two distinct problems:
1. The Pure Visibility Problem
This occurs during unbranded discovery queries. A prospect enters a prompt like: “What is the best budgeting software for mid-sized nonprofits?”
If AI lists five of your direct competitors but omits your brand entirely, you have a pure visibility problem. You aren’t even entering the consideration set.
2. The Evaluation & Sentiment Problem
This occurs when a prospect specifically asks an AI tool to evaluate or compare your business: “How does [Your Company] compare against [Competitor] for association management software?”
If the AI engine hallucinates missing features, misunderstands your pricing model, or frames your competitor as the superior choice due to lack of information, you have an evaluation problem.
Takeaway: You must first ensure your brand is discoverable (visibility), and then ensure the AI engine accurately understands your value proposition and market differentiation (evaluation).
Step 2: Track and measure your AI Visibility
You cannot fix what you do not measure. Unlike traditional SEO, where tools like SEMrush or Ahrefs provide exact keyword ranking positions on Google, tracking AI search visibility requires a multi-pronged approach:
Dedicated Prompt-Tracking Tools: Platforms like Peec AI allow marketing teams to track specific prompts over time, measuring how frequently your brand appears compared to key competitors.
Clean-Environment “Vibe Checks”: Conduct regular checks in an unauthenticated or incognito LLM environment (where the model doesn’t have personal memory of your account history). Run real buyer prompts—such as vendor selection criteria or direct head-to-head comparisons—to evaluate how you are presented.
LLM Referral Traffic Tracking: Monitor direct referral traffic and conversions originating from LLM platforms (e.g., ChatGPT, Perplexity, Gemini) in your website analytics.
Step 3: Take a hard look at your own website
Your website is the single most authoritative source of truth about your business. When LLMs crawl the web to answer comparative or discovery prompts, your core pages—product, service, solutions, and About pages—provide the foundational context.
If your core pages treat your offerings like a high-level digital brochure rather than a detailed informational asset, AI tools will struggle to understand your value.
Key On-Page GEO Optimizations:
Unbundle Single “Catch-All” Pages: If you list 8 to 10 distinct services or product features on a single catch-all page with one paragraph each, AI engines cannot extract enough detail to recommend you for specific queries. Create dedicated, comprehensive pages for every core service, module, or product feature.
Build Differentiated “Who We Serve” Pages: Buyers—and AI engines—look for vertical specificity. Build standalone landing pages tailored specifically to your target sectors (e.g., Higher Education vs. K-12, or Healthcare vs. Professional Associations) detailing tailored use cases.
Embed High-Intent FAQs: Include clear FAQ sections addressing the exact questions prospective buyers ask during vendor evaluation. Structure answers concisely so LLMs can easily parse and cite them.
Surface Hard Social Proof & Impact Metrics: Don’t hide client success stories on an isolated case study tab. Embed quantitative impact stats, client logos, and testimonials directly on product and solution pages so AI engines associate your brand with proven results.
If you don’t define how your product or service compares to competitors, someone else will—or worse, AI tools will make assumptions based on third-party chatter.
Build Strategic Head-to-Head Comparison Pages
One of the most effective strategies for controlling your AI perception is publishing transparent, objective comparison content directly on your site:
Create dedicated pages such as “[Your Brand] vs. [Competitor]” or “[Competitor] Alternative”.
By publishing authoritative comparative data, you feed LLMs the exact narrative you want them to synthesize when buyers ask for comparative vendor guidance.
Furthermore, ensure your About Page includes a sharp product and solution-focused brand bio. While company history and culture are important, the About page must explicitly state who you serve, what primary problems you solve, and why your solution leads the category.
Don’t let competitors capture the digital market share you’ve earned. Use our step-by-step GEO Assessment Checklist to identify on-page gaps, structure your brand entity, and optimize for AI recommendation engines.
Step 5: Optimize your brand’s offsite presence
If you feel like you’re already doing the steps above and you’re still not showing up in AI engines, it’s possible that your offsite presence needs to be improved.
AI engines cross-reference off-site channels to validate your brand entity.
1. Optimize Owned Off-Site Channels
Social Bio Audits: When was the last time you updated your company’s LinkedIn or YouTube descriptions? Outdated bios feed obsolete information directly to AI models.
Shift Content Focus from News to Education: If your company page posts exclusively about internal events, promotions, and conference outings, AI engines miss out on topical authority. Consistently syndicate educational, problem-solving content centered around your core market topics.
2. Strengthen Industry Channel Footprint
Ensure your brand is accurately listed across industry directories, review platforms, top provider roundups, and authoritative media outlets. Consistent entity details across external sites reinforce your authority and make AI models far more likely to recommend you as a trusted leader.
Get these tips in a concise, actionable checklist format! Download the checklist before you leave this page.
Final Thoughts: Securing Your Market Perception in the AI Era
Winning in AI search isn’t about gaming an algorithm—it’s about establishing absolute clarity around your brand entity across every corner of the web. When you build comprehensive on-page assets, explicitly detail your value proposition, and syndicate authoritative content across off-site channels, AI search engines will stop overlooking your brand and start recommending you over the competition.
We’re here to help you scale
If you have questions about your own SEO or AI Visibility, Nexus is more than happy to explore how we can help.
https://nexusmarketing.com/wp-content/uploads/2026/08/Main-Banner-1.png4001210Jenny Russhttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngJenny Russ2026-08-03 13:24:162026-08-03 13:26:02Why AI Search Engines Are Recommending Your Competitors Instead of You
AI website builders like Lovable, Bolt, v0, Meno are gaining popularity for their capability to build websites in days instead of months.
AI website builders are great for shipping out MVPs or microsites, but it is risky to rely on them for your brand’s core website.
Websites built using AI are known to have loopholes in security and are prone to data breaches.
AI-built websites are not always built for SEO/AEO, so due diligence and troubleshooting expertise is necessary.
We shouldn’t run away from AI website builders, but the necessary controls should be put in place to minimize the risks.
AI-native website builders like Lovable and Meno are rapidly gaining traction across marketing teams and website developers alike. The value proposition is hard to ignore: what traditionally required a 3-to-6-month development cycle can now be shipped in mere days.
On the surface, it sounds like a dream. So why the hesitation?
These platforms empower non-technical marketers to “vibe code”—describing a site’s functionality in plain English and letting AI architect the codebase. This removes the friction of developer handoffs, accelerates the time-to-market for campaign landing pages, and significantly reduces the overhead associated with custom front-end development.
However, the convenience of AI generation masks significant risks. Many marketers are unaware of the underlying architecture these builders use—and when it comes to brand equity and trust, what you don’t know can be your biggest liability.
AI Means Unmatched Speed
The operational benefits of AI website builders are undeniable. In our company, we use AI-native builders for building microsites and sub-product pages. Frankly, the design quality outpaces what most mid-level developers can ship in a month.
Some advantages we have experienced:
It unblocks our ability to move quickly and ship new pages fast.
We can create a new website in a day versus three months.
We can throw up new product pages basically instantly.
AI-built webpages look decent!
You don’t need tech talent to get to a v1.
The case for AI website builders is clear when producing MVPs and building microsites.
What about bigger sites like our core brand website?
The Trap: Your AI Site Might Be “Invisible”
The primary risk with AI-native builders lies in a technical concept many marketers may overlook: the difference between Server-rendered (Static) HTML and Client-side rendering (CSR).
Traditional platforms like WordPress or Webflow use the Server-rendered (Static) HTML model, which means that they serve a complete HTML document – headings, body copy, links, schema – already in place. When a crawler arrives, it gets everything in one request.
On the other hand, many AI-native builders like Lovable, Bolt, and v0 often default to Client-side rendering:they generate React single-page applications. This means the server sends an “empty shell” of HTML, and JavaScript (JS) runs in the visitor’s browser to build the page.
For a human visitor, this is fine. For a crawler, your site’s content may be invisible.
Crawler Comparison: The Invisibility Gap
Crawler
How It Handles JavaScript (JS)
Impact on Visibility
GoogleBot
Executes JS and can read the page
Generally safe for visibility on AI Overviews and AI Mode
GPTBot, ClaudeBot, PerplexityBot
Do not typically execute JS or wait for rendering.
Invisible. The bot sees an empty shell and leaves.
If your site’s content isn’t visible to crawlers, then your brand will not be recommended in AI Search.
Not all AI builders are created equal
Here’s the caveat: some AI website builders do NOT limit you to client-rendered configurations. That means that your AI-built site’s contents may be read by crawlers. However, it may still require some technical knowledge to ensure the right configuration.
For example, Framer uses AI for design but ships static HTML by default. 10Web uses AI generation on a WordPress backend. These are “safer” for SEO and AI Visibility.
Lovable has the option of doing static generation (not CSR), and recently introduced SEO updates to address search and visibility issues. But the burden of configuration still rests on the builder. If you don’t know to flip the switch, your site remains a ghost.
Bottomline, the responsibility of due diligence is on the marketer. Using an AI website builder requires that you understand the exact mechanism an AI website builder uses, and its implications on crawlability.
The One-Minute Diagnostic: The “View Source” Test
You can test your own site’s AI visibility right now (especially if you built it using AI-native builders).
Load your website.
Right-click and select “View Page Source.”
Hit Ctrl+F (or Cmd+F) and search for a sentence of your actual website copy.
The Verdict: If your text isn’t there, your current website is invisible to search. If the text only exists after JavaScript runs, most LLMs cannot “see” your website content.
AI-Built Websites are Vulnerable to Breaches
In April 2026, the $6.6 billion “vibe coding” platform Lovable suffered a massive breach. With a free account and just five API calls, anyone could access the source code, database credentials, customer data, and AI chat histories of other Lovable users.
This incident exposes a critical flaw in relying solely on AI to build websites: Large Language Models (LLMs) typically optimize for functionality alone, not security and permissions. AI generators routinely fail to establish basic security boundaries, often fetching data by user ID without verifying if the user actually has permission to view it. Because of this, database credentials and sensitive business logic were left fully exposed and visible.
Another concrete example of potential consequences: one EdTech app hosted on Lovable’s Discover page had vulnerabilities which led to the exposure of over 18,000 user records, more than 4,000 of which were of students.
Shipping AI-generated code to production without qualified human oversight is a ticking time bomb. When security protocols are overlooked in favor of rapid generation, the risks offset the benefits for your business.
Our Verdict on AI Website Builders for B2B Brands Selling to Mission-Driven Buyers
My advice to marketers considering using AI website builders:
AI builders are a small but growing segment of the Mission-Driven B2B CMS market. Of the 200+ B2B websites we reviewed, only a handful had transitioned to a native AI build.
It’s clear that the AI builders have advantages around speed, easy design, and quick iteration. We’ve used them for multiple small projects when we need to get something live quickly.
AI website builders are a reasonable bet for a business only if it has the right team in place. I would recommend that any business who chooses to go this route should have experts who can troubleshoot issues if they come up.
You should have a technical person or developer who can verify any AI-generated code before shipping it out to a website.
You should have experts who can verify and troubleshoot for crawlability and other SEO-related issues. (This is where Nexus can help!)
If your team is highly non-technical, I would recommend against doing this. It will be easy to get something live quickly, but troubleshooting will be brutal for any existing business.
Google is still known to discriminate against content that is heavily AI-generated, so relying too much on AI-generated assets may penalize you in the long run. (In fact, Google published a recent paper discussing methods to catch spammers who are using generative AI to flood Google’s platform.)
For B2B brands selling into the mission-driven sector, trust is a non-negotiable asset. Reliability is compromised when your website suffers technical failures that your team cannot resolve – all because the underlying infrastructure was fully delegated to an AI without expert oversight.
Furthermore, a security breach can cause irreparable damage to your brand equity. Given the extended sales cycles typical in nonprofits, healthcare, and education, rebuilding lost trust is difficult and expensive.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
https://nexusmarketing.com/wp-content/uploads/2026/07/Main-Banner.png4001210Rafi Norberghttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngRafi Norberg2026-07-20 19:25:182026-07-20 19:25:18AI Website Builders: Should I Use It for My Brand?
Executive Summary: How Nexus Amplifies Your In-House Team
Your internal team knows your product, industry, and voice better than anyone.
Nexus adds the search intent strategy, technical SEO, AI visibility, and conversion mechanics that make content rank on Google, get cited by AI engines, and drive measurable revenue.
That work is grounded in specialization. Nexus is the top agency for B2B marketing to mission-driven sectors. We’ve helped 100+ brands selling into nonprofit, association, education, and healthcare markets, so we already know your target audience, how their buyer intent works, and what performs in your space.
The goal of every asset we touch is the same: make your business the default answer for mission-driven buyers in your market.
The Operational Gap: Content Production vs. Search Engineering
In-house writers are strong communicators, but enterprise search performance is a separate discipline with its own toolsets and time demands. Here is what Nexus adds to the partnership:
Search intent alignment: We analyze live search results and keyword data, so every piece is built around what your target buyers are actually searching for, not what we assume they search for.
Technical SEO infrastructure: Strong prose is half the job. We handle the invisible elements (header hierarchy, schema markup, URL structure) that determine whether search engines properly index and reward the page.
AI visibility (GEO): We structure content so AI engines like ChatGPT, Gemini, and Perplexity cite your brand when buyers ask them questions. Most existing content was never built with this in mind.
Conversion-first journey mapping: A page should do more than inform. We design the call-to-action placement and conversion path into every layout so readers move toward becoming leads.
Full-service asset production: When an internal team writes an article, they still need designers for imagery, developers for CMS formatting, and managers for distribution. Nexus delivers the finished asset, custom graphics and technical deployment included, in one scope.
How We Use AI: Fast Production, Human Judgment
AI has already made part of our process faster, and we’ve built those savings into the scopes in this document.
What AI has not changed is the judgment around the draft: deciding what to write and why, supplying the proprietary insight that makes it original, verifying every fact, and curating the language so it sounds like you and not a machine.
Here is the same deliverable produced three ways:
AI alone: Fast, but generic. It produces the same article that your competitors can generate the same afternoon, often with fabricated or misread statistics, weak SEO optimization, in patterns that read as machine-written, and with no strategic point of view.
A generalist in-house writer: Strong on your voice and product, but usually without the SEO and AI-visibility tooling, the search-landscape data, or the time to engineer technical performance, and now also asked to learn AI orchestration on top of the day job.
Nexus: AI handles production inside a pipeline we built and control; our specialists supply the strategy, optimization best practices, sector data, and editorial judgment at every step.
An Agent Pipeline With a Human at Every Checkpoint
Every piece passes through a sequence of purpose-built AI agents, and a Nexus strategist reviews the output at a mandatory checkpoint after each. We do not press “generate” and ship the result. Our strategist directs the agents, interrogates their output, and rewrites anything that falls short, acting as editor-in-chief for the AI rather than a typist.
Research agent, then human review: The agent assembles the search landscape, competitor coverage, and candidate statistics. Our strategist then verifies every statistic, fills any gaps the agent flags, and confirms the angle reflects your proprietary point of view rather than a generic definition.
Outline agent, then human review: The agent structures the piece against the top-ranking pages. Our strategist reshapes it to your voice, removes formulaic patterns, and places internal links and conversion points where they genuinely help the reader.
Draft agent, then human review: The agent produces the draft in stages. At each stage, our strategist redirects it, then adds what AI cannot: your unique perspective, subject-matter insight, and the removal of machine “tells” so the piece reads as yours.
The Quality Gate Before Anything Reaches You
No draft goes to your team until it clears a human-run review:
Statistic integrity: Every statistic is traced to a live, credible source published within roughly the last two years, and checked to confirm the source actually supports the claim. We present each one with its number, population, timeframe, and source. Left unchecked, AI routinely invents numbers or misreads them, turning “up to 50%” into “more than 50%.”
Fact-checked against your world: We verify claims against your own materials and documentation, so the content reflects how your organization actually operates.
Originality: Every piece is checked to be free of plagiarism before it ships.
Human voice and trust signals: A senior editor curates the draft to strip machine patterns, match your tone, and demonstrate the real Experience, Expertise, Authoritativeness, and Trust that Google and AI engines reward.
On-Site Content Creation Breakdown
Here is what each stage delivers, and where the agent pipeline and your strategist each do their part, compared against a standard writing process:
Subtask
A Standard Writing Process
The Nexus Process
Plan Content
Googling a topic and writing a quick list of ideas.
Our Research and Outline agents assemble the raw analysis; your strategist verifies it and turns it into a data-backed blueprint:
Market analysis across 100+ businesses: We have worked this search landscape for 100+ mission-driven and B2B brands; a single writer sees one business. That perspective lets us greenlight only the topics that support middle- and bottom-of-funnel lead generation, and skip ideas that produce traffic without pipeline.
Marketers first, writers second: Our copywriters plan like marketers. We present results to your decision-makers monthly, so every piece starts from the business outcome it must support, and the writing approach follows from there.
Keyword intelligence: Real-time search volume, keyword difficulty, localized and geo-targeted variants, and high-value terms your competitors are missing, pulled from professional SEO platforms.
SERP and intent mapping: We audit the live results page to decode what Google rewards for the query (informational, transactional, or commercial) and build the asset to match.
Outline and competitive gap analysis: We deconstruct the top 3–5 ranking pages, identify the questions they fail to answer, and build the outline to cover what they missed.
Conversion and CTA planning: We match the reader’s stage in the buying journey to primary and secondary calls-to-action before writing begins, so conversion is designed in rather than bolted on.
Write
Drafting the narrative, assembling paragraphs based on general internet research, and putting thoughts onto a page.
Our Draft agent produces the structural draft in a fraction of the time. The rest of these hours go to your strategist doing the work AI can’t, reviewing and redirecting at each checkpoint:
Non-commodity insights: Rather than recycling what already exists on the web, our writers build in your proprietary insights, internal data, case studies, and expert perspectives so the piece is genuinely original and authoritative.
Google’s quality framework (E-E-A-T): We structure the text to demonstrate Experience, Expertise, Authoritativeness, and Trustworthiness, the criteria in Google’s own search quality guidelines, so the algorithm reads the asset as a premium resource.
AI engine optimization (GEO): We format content for Generative Engine Optimization and AI Overviews so your brand is cited as a source when buyers ask ChatGPT, Gemini, or Perplexity a question.
Technical proofing and brand voice: Executive tone refinement, schema implementation, and a live preview page so you see exactly how the asset will present before it ships.
Images
Downloading a generic stock photo.
Custom visual assets. Dedicated graphic designers work alongside the content team to translate your ideas visually:
Brand identity alignment: Our designers study your brand’s colors, image style, and aesthetic so every asset reads as a natural extension of your identity rather than agency clip art.
Useful-first design: We translate technical data, proprietary insights, and abstract concepts into infographics, diagrams, and visual breakdowns that readers actually use.
Interactive assets: Where the content calls for it, we build interactive elements such as calculators, comparison tools, and clickable diagrams that hold attention and earn links. These are designed to be crawlable and SEO- and GEO-friendly.
Performance value: Original visuals raise time-on-page and earn backlinks when other sites reference and embed them.
Review
Reviewing the text for basic grammar, catching surface-level typos, and ensuring simple editorial style alignment.
A two-stage review built around your team:
Client collaboration loop: The copywriter finalizes the draft, updates your content review hub, and invites your team’s feedback.
Knowledge retention: Every correction and preference your team shares is codified in our internal knowledge base, which also informs our AI-assisted workflows.
Finalize Content
Copy-pasting text into a CMS.
Launch, QA, and indexing. A disciplined technical checklist on the live page:
Metadata and technical validation: Canonical tags, URL slug, robots instructions, and schema markup configured and verified.
Speed and Core Web Vitals: We test for layout shift, script delays, and image weight so the page loads fast enough to satisfy Google’s user-experience ranking factors.
Accessibility and functionality QA: Color contrast, descriptive alt text for screen readers, and a manual click-through of every link, form, and interactive element.
Internal linking: Roughly five contextual links from your existing authoritative pages, routing crawl equity and real traffic to the new asset.
Immediate indexing: We submit the URL directly to Google Search Console rather than waiting weeks for a crawl, so the page starts competing almost immediately.
Google rewards maintained content, and an existing page that drops in rankings is losing revenue.
There is also a newer problem: most older content was written before AI search existed, so it was never built for AI Overviews or for the way AI engines fan a single question out into many related queries. When Nexus refreshes a page, we are overhauling the asset structurally, visually, and algorithmically so it performs in both classic search and AI answers.
Tier 1: SEO Content Relaunch / Expansion
Best for: Pages that need substantial improvement and content expansion to rank and convert. Typically older or underperforming blog content that has lost its competitive edge.
What the hours deliver:
Semantic gap analysis: Using professional keyword and SERP analysis platforms, we map the topics, sub-questions, and data points that have emerged since the page was written and benchmark it against today’s top-ranking competitors. Because we run this analysis across 100+ brands in mission-driven sectors, we know which gaps actually move rankings.
AI visibility retrofit: We restructure the page for AI Overviews and LLM query fan-out: direct answers, clean formatting, and citable structure so AI engines reference your brand. Content written even two years ago almost never has this built in.
Structural and textual expansion: Extensive revision plus entirely new sections. Our writers cross-reference your whitepapers, case studies, and internal documentation in our knowledge base, so new copy reflects real brand insight rather than filler.
Heading hierarchy rebuild: We rebuild the H1, H2, and H3 architecture to current technical SEO standards so crawlers can properly parse and index the page.
Crawl equity and internal linking: We map and build links from your most authoritative pages into the refreshed asset so link equity and traffic flow where they are needed.
Custom visual and conversion overhaul: Our designers replace dated visuals with custom assets matched to your current brand, and we engineer the conversion layer: high-impact CTAs and internal link paths routed to your core revenue pages.
Tier 2: Content Optimization
Best for: Product, service, and core landing pages that need targeted SEO improvements to lift search performance and lead generation without a full rewrite.
What the hours deliver:
Historical performance diagnostics: We pinpoint which keyword groups have lost visibility and where the fastest-recovery opportunities lie, using professional rank-tracking platforms and benchmark data from 100+ mission-driven and B2B engagements.
Precision metadata and on-page work: Title tags, H1 headers, meta descriptions, and structural copy optimized to win clicks from the results page while keeping a natural, on-brand tone. No keyword stuffing.
AI answer formatting: We tune heading and copy structure for AI engines as well as Google, positioning the page to be cited in AI Overviews and chat answers.
Crawl equity and authority mapping: We build internal links from older, highly authoritative pages on your site to the target page, signaling to Google that the target page is a vital commercial hub.
Core Web Vitals and image optimization: We compress existing media to next-gen formats, scrub unnecessary metadata, and set descriptive alt text. Heavy media is the most common speed penalty we see; fixing it lifts load times without visible quality loss.
Off-Site Content & Partner Network Distribution
With off-site content (partner posts), you are paying for relationships and distribution.
The Nexus partner network is proprietary: established editorial relationships with B2B and mission-driven publications across the nonprofit, association, education, and healthcare sectors, built over years of successful placements.
Those partners already know us and trust our content.
The do-it-yourself alternative is cold outreach to publishers who have no reason to respond, and the vast majority of those emails go unanswered.
Two scoped hours inside a standing network reliably produce what months of cold email usually cannot: a live placement on an authoritative, industry-relevant site.
Partner coordination and pitching : We select the right partner sites for your goals, run outreach through standing relationships, align content calendars, and negotiate topics, so none of this lands on your team.
Strategic outline and target selection : We research your site’s existing footprint and select the exact link targets that pass maximum domain authority back to your site, optimized for a real, high-search-value keyword, not a vague theme. No random links.
Writing and creative : Partner posts of roughly 1,200 words. Our Outline and Draft agents handle the structural draft; our writer then refines it to the publisher’s editorial guidelines, sets the correct link types and ratios, and adds feature images. Like our on-site work, the post is optimized for both search engines and AI engines, so placements continue to work as buyer behavior shifts.
Editorial quality control : The same quality gate as our on-site work, verified statistics, plagiarism check, and human voice curation, so off-site content mirrors your executive thought leadership as faithfully as your own site.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
https://nexusmarketing.com/wp-content/uploads/2026/07/Main-Banner-1.png4001210Jordanhttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngJordan2026-07-07 18:43:552026-07-09 14:43:56The Nexus Content Value & Scoping Blueprint
Google has officially launched its new Search Generative AI performance reports. With this new module available in Google Search Console, we can get better insights into your brand’s AI Visibility on Google’s AI Mode and AI Overviews.
Although this module has only been partially rolled out, this is an exciting development since such reports were only previously available on Bing for Microsoft Copilot and Bing’s AI-generated summaries.
So how does Google’s new report impact your AI Visibility tracking?
Benefits of Google’s AI Performance Reports
Absolute Impression Data: We get an absolute number of impressions for your website on Google’s AI Overviews and AI Mode, based on first-party data. While we typically measure AI Visibility using specific prompts, relative percentages, and AI visibility scores, this data enables us to cross-reference and determine if our tracked prompts are driving the majority of your impressions. Both absolute and relative metrics are valuable, and combining them provides greater insight.
Granular Page-Level Tracking: We can now view your brand’s impressions on AI Overviews per page across specific timeframes (hourly, daily, weekly, or monthly). This helps us track the effectiveness of content optimizations and identify your “Hero Pages”—the specific pages generating massive, previously invisible AI impressions.
Limitations of Google’s AI Performance Reports
Missing Granular Insights: Google’s AI Performance Report does not break down impressions per prompt, analyze them per keyword cluster, or track link clicks from AI Overviews. Hence, the data provided by Google is still quite limited on its own and is still best supplemented with other tools that we currently use.
Lack of Advanced Metrics: Our current approach offers data that Google’s report cannot provide, including AI Share of Voice, Brand Sentiment on LLM responses, benchmarking against competitors, cross-platform AI visibility (e.g., on platforms like ChatGPT), and AI visibility per tracked prompt. This set of metrics provides a fuller picture of how your brand is being cited by LLMs, the context and conversation surrounding your brand, and how you’re performing relative to competitors. In many ways, these data are more actionable than absolute impression data alone.
Exclusion of Non-Linked Mentions: Unlike our current approach, which counts both URL citations and brand name-drops by LLMs, Google’s report does not count a brand mention as an impression unless it includes a page link. Brand name-drops are also extremely important alongside URL citations, since studies have shown that brands that have been recommended by LLMs typically experience a branded search lift within the next seven days.
In summary, Google’s new Search Console AI performance reports provide accurate, first-party data on your brand’s organic impressions within Google’s AI features, allowing you to quantify your total scale of exposure.
In contrast, Nexus’s AI Visibility reports utilize third-party simulations to track brand mentions and citations across key prompts that matter to your brand, helping you reverse-engineer the “why” and “where” behind your visibility and analyze competitor performance as well. These simulations also allow us to track your brand’s visibility across multiple LLMs, not just Google’s AI Overviews.
By combining Google’s absolute impression data with Nexus’s prompt-based tracking, you gain a more comprehensive view of your AI-driven search presence. Our prompt-based approach offers the granularity needed to build an actionable roadmap for improving your AI visibility, which we can then validate with Google’s absolute impression data.
FEATURE
Google Generative AI Report (Search Console)
Current Nexus Approach
DATA TYPE
First-party server logs (Accurate user data)
Simulated user behavior (Sample-based scraping)
METRICS
Organic Impressions only.
Counts only clickable URL citations as an impression.
Citation Share (% of prompts your URL won), Share of Voice, Brand Sentiment.
Counts both URL citations and brand name-drops or mentions.
QUERY AND PROMPT DATA
Not available
Granular AI visibility tracking per prompt
COMPETITOR PAGES
No insights
Can track competitor AI Visibility for specific prompts
SCOPE
Google ecosystem only (AI Overviews, AI Mode)
Multi-LLM (ChatGPT, Gemini, etc.)
Important Note
Due to Google’s partial rollout, Google’s AI performance reports are not yet available for all accounts. For Nexus clients with GEO services included in their scope, our team is closely monitoring your Search Console for this rollout. Once this dedicated generative AI view goes live for your site, we will pivot our reporting to include these visibility metrics to provide you with additional insights on your AI Visibility.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
https://nexusmarketing.com/wp-content/uploads/2026/06/Main-Banner-1.png4001210Rafi Norberghttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngRafi Norberg2026-07-06 20:27:342026-07-07 02:03:55How Google’s New AI Performance Report Impacts Your AI Visibility Tracking
Conversion rate optimization (CRO) is a data-driven process of continuously improving interfaces and experiences to turn more website or app visits into customers. In other words, maximizing the value of your site’s traffic.
Often, CRO is mistaken as being synonymous with A/B testing. Or, businesses might think that CRO requires tightly constricting all possible user actions on a page. Even more businesses think that CRO is a one-time practice that can be done via “quick hacks” from blogs, ebooks, or podcasts.
These aren’t bad starting points for exploring CRO for your business! However, it’s limiting to think that CRO is just about testing, and risky to expect that one-time hacks will drive up your revenue.
We offer CRO services and data-driven, iterative optimization practices that drive scaling value — but if you’re new to CRO, concerned about its effectiveness for smaller brands, or curious about first steps, where do you start?
This quick guide explores CRO and tactical ways to build an ongoing optimization practice for your business, even if you receive relatively low traffic volumes. We’ll cover:
The Basics of CRO
The Challenge of Sample Size
5 Steps for Low-Traffic CRO
The Basics of CRO
Regardless of whether you’re working with an agency or doing CRO in-house, the core CRO process will include three basic steps:
Diagnosis
Problem identification
Problem solving
Depending on who you consult, there could be many variations in how these three basic steps are executed. But, in essence, it all comes down to understanding what’s happening on your website based on the data you see, defining the problem you need to solve to help visitors (and prospects) complete the expected action, and then finding a solution to that problem.
Here’s a closer look at each step:
Diagnosis
It’s difficult (and not recommended) to optimize blindly, so this crucial first step involves making sense of the data you have within reach — analytics, heatmaps, session recordings, CRM data, etc. As much as possible, use at least two data points to help you build a better understanding of what, how, or why things are happening.
Look for patterns and, following Twyman’s Law, be skeptical of any good, interesting, or different data you see. “Any figure that looks interesting or different is usually wrong.”
Go through the website as if you’re a customer trying to solve a problem or find information. Compare the real journey to how the UX was designed and how actual users engage with the site during session recordings. Was there a striking difference?
Problem Identification
From your diagnosis, list down all the difficulties and issues you encountered. Are there issues that can be segmented together, pointing to root problems? Is it a functional problem with the site or a clarity problem with the layout, language, or design?
When you identify a problem, also categorize whether or not it’s something that must be fixed immediately (like functional issues or incorrect information) or something that should be tested. This will help you prioritize the actions you need to take.
Remember that some tests can’t happen concurrently without diluting the other running experiments and that immediate fixes would still take up web development resources, so plan accordingly.
Problem Solving
The most common way businesses solve a concern is by immediately shipping out a change or testing a potential solution first. This step is the reason people most often confuse CRO with A/B testing, since these tests are a common method for identifying best-fit solutions to identified problems.
Regardless of how you want to approach your problem solving, be sure to tag the changes made and/or ideas tested based on their purposes. Document all key learnings from them. This way, you’ll get a sense of the direction you’re going for and you’ll always gain something actionable even if the test ultimately fails to solve that specific problem.
The Challenge of Sample Size
These three basic steps are easier to put into action on a website with a decent amount of traffic. This is because more traffic makes it easier to establish patterns, test ideas, and confidently say that a change did or did not make an impact.
What if you’re concerned
For niche businesses, including mission-driven B2B brands, average monthly traffic is likely quite lower than what a medium to large B2C brand might see. And for any smaller brand, site traffic is expensive and can be a luxury.
You might not have the budget to pull in more people to your site through paid campaigns, or you could be relying solely on organic efforts, which still costs money and resources to support.
Unfortunately, for a standard fixed horizon A/B test to be trustworthy, it needs enough traffic volume to achieve statistically significant and high confidence results. Here’s a quick illustration of why this is the case:
Example A: Pre-test analysis with an ideal test page (enough traffic to get statistically significant and high-confidence results within 6 to 8 weeks)
Minimum detectable effect (MDE) estimations tells us how much impact our tested page variation needs to have to get a significant result. It essentially represents the size of the improvement your new page variant needs to achieve for you to mathematically prove it was the cause of the success. Commonly, this should be less than 20% depending on the scale of the change you plan to run through a 6- to 8-week test.
Example B: Pre-test analysis from a low-traffic web page tells us it’s not viable to do an A/B test based on the MDE and the duration.
In this case, the MDE is too high and would risk generating false negative or false positive results.
But while it’s more challenging to execute the core steps of CRO for a low traffic website, that doesn’t mean low-traffic sites can’t do CRO. The best time to do CRO isn’t when you have the traffic, but as early as you possibly can.
Building a high-converting site can pay dividends as your traffic grows over time.
Think of it this way: Waiting until you’ve already grown your traffic to start optimizing means you’ve likely left a ton of conversions and value on the table along the way. It’s possible to adapt your approach to your current circumstances and iterate as you go.
In the CRO space, the standard rule of thumb for minimum monthly traffic is around 20k-40k sessions per month to yield high-confidence test results.
However, we’ve found 10k sessions per month to be feasible and still drive meaningful benefits when paired with a tailored approach.
The B2B High-Value Factor
When starting with CRO, it’s helpful to remember the outsize impact that improvements can make for B2B businesses.
Remember, you aren’t chasing millions of clicks.
If you have low traffic but high contract values, a single extra conversion from the five ideal buyers visiting your site this month could completely fund your marketing budget for the quarter. Every single visitor can count exponentially more.
5 Steps for Low-Traffic CRO
1. Understand your data.
You don’t need a sophisticated tool to start your CRO analysis.
If all you have is Google Analytics, a heatmap tool like MS Clarity (which is free!), and a spreadsheet with all your leads, start with those data sources. You’ll just need to understand how they relate to each other because they have different data collection methods and purposes.
With your available data, try these steps:
Take an overall website health assessment.
Look for the top 3 pages with the most traffic, and where most of the traffic is coming from — referral, organic, email, etc.
Consider any nuances with intent and behavior. Why these pages, and why these sources? This will help you more effectively analyze your MS Clarity session recordings and heatmap data and look for patterns.
Note any expected and unexpected behaviors in your MS Clarity data. Then, determine how your observations could be shaping the number and quality of leads that you currently see from these pages.
2. Talk to your customers.
This is the most direct way to get feedback, and the insights can be invaluable.
One of the best data points to collect is what almost stopped customers from doing business with you. If a pattern emerges, add it to the problems identified and find a way to solve it.
Here are three questions that can help reveal the reasons prospects aren’t converting:
“What persuaded you to purchase from us?” — This reveals your strongest message and brand characteristics.
“Which other brands or options did you consider before finally choosing us?” — This reveals your true competitors. Your perceived competitors might be different from a consumer’s perspective, so this becomes an opportunity to review (but not copy) what they’re doing.
“What almost stopped you from buying our services or product?” — This reveals the biggest friction point that customers actually encountered in their journey.
If directly asking your customers is challenging, make the most out of your sales and any client-facing teams. They talk directly to your customers and have firsthand experience of their confusions and frustration points.
Document all the identified pain points along with how your team usually counters them to still close the sale or appease the client. These pieces of information are incredibly valuable for improving copywriting and clarity on your site.
3. Explore alternative and non-A/B test designs.
Testing a solution is thankfully not limited to just A/B tests — if it were, CRO might be impossible for low-traffic sites.
However, there are plenty of alternative data collection and testing methods that can work for lower-traffic sites.
Other common approaches to CRO for low traffic sites are user testing, surveys, focus group discussions, and method marketing. These can all help you learn more about your clients and their buying journeys straight from the source.
If you’re still keen to conduct technical testing despite low traffic volume, you have options. I explored this topic in-depth for Experiment Nation in this presentation:
To summarize a few of the most actionable routes you could take to run CRO tests on a low-traffic site:
Limited A/B tests constrained to upper level conversions or key events. Measuring your test based on form starts instead of form completions will likely increase the volume and power you have. This could be helpful for low traffic sites that follow a multi-step conversion funnel.
Before and after testing. This approach allows you to ship changes based on your problem-solving idea while using your pre-existing data as the baseline. You’ll see the difference between the experiment results and what you’d expect using CUPED analysis (a statistical method that filters out background noise to show true performance). Just be ready with a backup of the old page in case something goes wrong so it’s easy to switch back.
Go-for-it or do-no-harm tests. This is probably the most straightforward CRO test for any site. The experiment design assumes that there is really no downside in doing the test and there is no detrimental effect if you lose. In using this as your experiment design, you simply calculate your sample size and test duration then decide based on raw conversions rather than the typical conversion rate
4. Set up guardrails.
Guardrails are metrics that act as protective boundaries or early warning systems to your test. This will tell you when it’s time to pause or stop and redesign the test because you’re doing more harm than good to your user experience or backend performance.
Sample guardrails could be exit rates should not exceed 80% in doing this test or page load time should not slow down to 10 seconds. If you hit your guardrail metric, pause and rethink your approach.
5. Don’t stop testing and learning.
Because you’re running on low traffic volume, it’s difficult to be sure that the results you get from tests are truly repeatable. Even after you have completed a test and decided that it made a positive impact enough to make the changes permanent, always monitor the performance.
Repeat the test setup as needed to help you make more strategic decisions. More importantly, document your learnings. It’s possible to see a different outcome over time, so it’s vital to know what made the test perform that way.
Whether a test shows positive or negative results, there is always something to learn to inform your business strategy and decisions.
At the end of the day, our goal is to find the middle ground between what your business wants to achieve and the problems your customers want to solve or a pain they want to alleviate.
Your traffic volume should never stop you from improving your website and overall experiences to serve customers better. You just need to be more creative with how you approach it.
Need help with your conversion rate optimization program? Nexus Marketing offers CRO services focused on helping mission-driven brands that serve niche audiences (and often see lower-than-average traffic volumes) turn more of their website traffic into actual leads and sales.
Already a Nexus client? Reach out to your account team to learn more about our CRO services.
Happy optimizing!
About the Author
Carla Quizon, CRO Lead, Nexus Marketing
Former Head of Client Success Management and CRO at a performance marketing agency, Carla democratizes conversion rate optimization for B2B websites with specialized ICPs and lower traffic. Over the last five years, she has been developing frameworks that prove smaller organizations can also leverage professional data-driven experimentation to inform their strategies.
This May, Google dropped official guidance for the first time in over a year on how they are thinking about rankings within AI search.
For B2B firms selling into nonprofits, healthcare, associations, or education, here’s what you need to know.
Key Takeaways from Google’s Search Update
1. Core SEO strategies still apply for AI search
Google officially affirmed that core SEO strategies are the exact foundation needed for generative AI search. Google officially affirmed that core SEO strategies are the exact foundation needed for generative AI search. The Nexus approach—improving your website’s messaging, optimizing internal linking, and building offsite authority—is your essential foundation for winning visibility in the era of AI search engines.
2. Brand consistency across the web matters
AI Search is built on Retrieval-Augmented Generation (RAG). This means that AI search engines pull core, “grounded” brand information from their index first, and then layer recent updates on top. Your business is now judged by its entire digital footprint across the internet, not just your website. If your footprint is fragmented, AI models get confused and pass you over.
3. Multi-Channel Syndication (YouTube is more important than you think!)
Data shows that brands with active, robust YouTube channels are consistently being prioritized in AI answers. Treating video as a core growth channel is no longer optional.
Unfortunately, roughly 80% of the B2B brands I look at have no real YouTube strategy. If this describes you, you might want to check out our recently published guide that talks about content syndication across YouTube and LinkedIn.
At Nexus, we help clients establish multi-channel presence by syndicating content from an existing anchor asset.
4. Build a Case Study Library
When you’re selling into mission-driven sectors, your edge shows up far better in proof of client outcomes than in another blog post — the nonprofit you helped raise more, the association you helped grow membership, the health or education client whose numbers moved.
5. Authoritative Mentions are Non-Negotiable
AI search tools rely heavily on third-party citations to validate answers, especially in trust-heavy sectors like healthcare or education. Google explicitly warned against spam, favoring organic, contextual mentions. This just reinforces the value we bring by securing high-quality, relevant backlinks for your brand through our Nexus network of 500+ industry partners.
Through our network of partners, we are able to help our clients build offsite authority and boost their AI visibility. You can read more about our partner network here.
Interested to learn more?
I discuss these insights on Google’s recent updates in more depth in my LinkedIn video here.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
https://nexusmarketing.com/wp-content/uploads/2026/06/Main-Banner.png4001210Rafi Norberghttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngRafi Norberg2026-06-05 14:26:522026-06-26 19:53:04Google’s New AI Search Rules (And What It Means For You)
The way mission-driven organizations find professional services is changing fast.
For a long time, the goal was simple: rank on the first page of Google for the right keywords. While that still matters, we’re seeing a clear shift toward Generative Engine Optimization (GEO).
Today, your brand needs to do more than show up in a list of links; it needs to be the answer that AI engines like ChatGPT, Gemini, and Perplexity recommend directly to their users. How?
Becoming an authority trusted by LLMs requires a broader digital footprint than a standard blog can provide. AI models look for consensus across the web to learn who the real experts are.
To win in this new environment, your brand needs a coordinated, multichannel strategy. Here’s what we’ll cover in this crash course:
Why AI Engines Crave Multichannel Content
The Platforms Driving AI Citations
LinkedIn
YouTube
Bridging the Multichannel Gap
The Nexus Approach
Why AI Engines Crave Multichannel Content
Large Language Models (LLMs) like ChatGPT Search, Perplexity, and Google’s AI mode behave differently than traditional search engines.
They’re designed to summarize and recommend the most credible “entities” in any given space. When your brand only exists on your own website, you’re providing a single data point. AI models typically require multiple, consistent signals across different platforms to verify that your brand is a trusted authority.
This is where multichannel content becomes your strongest competitive advantage.
By appearing on LinkedIn, YouTube, and other high-authority domains, you train these AI models to recognize your expertise. And the more places your original thought leadership appears, the higher the confidence score the AI assigns to your brand.
The Platforms Driving AI Citations
AI models do not treat all websites equally. They prioritize platforms where original, human-led discussions take place.
According to 2026 data from Semrush, a few specific domains dominate the citation landscape:
Reddit.com: 11.29% citation rate
LinkedIn.com: 11.03% citation rate
YouTube.com: 8.77% citation rate
If your marketing strategy ignores owned external channels like these, you’re essentially invisible to the engines that organizations are using to make buying decisions.
Reddit can be challenging to master at scale and can be less impactful for some B2B brands than others. Your presence on LinkedIn and YouTube, however, is entirely within your control and can play important roles in B2B buying decisions.
LinkedIn: Establishing Professional Authority
LinkedIn is currently one of the most important channels for training AI on your B2B brand identity. However, the AI engines can be very selective about what they choose to cite from the platform:
The Importance of Originality
Data shows that roughly 95% of LinkedIn citations across ChatGPT Search, Perplexity, and Google AI come from original posts. Reshared content is almost never recommended by AI. To be cited, your brand must lead the conversation with its own unique insights.
Action items:
Create a LinkedIn newsletter for your brand or post Pulse articles.
To save time and reinforce your messaging, consider repurposing new or existing thought leadership (like reports, op-eds, and high-value blog content) into new versions for LinkedIn.
Posting Consistently
The most frequently cited pages on LinkedIn typically post five or more times per month. This steady flow of content provides the “freshness” signals that AI models use to determine which brands are active industry leaders.
Action items:
Establish a consistent publishing cadence, aiming for 5+ posts per month.
Try to create a mix of long-form thought leadership content, infographics, text posts, and occasional reshares of content from leadership, employees, and other organizations.
YouTube: Building Multimodal Trust
YouTube serves as a multimodal anchor for your brand’s visibility.
AI engines do more than just index the video title; they crawl high-fidelity transcripts to understand the depth of your expertise. By hosting webinars or sharing expert-led video guides, you provide structured data that AI models can easily summarize and cite.
This creates a powerful cross-reference signal. When an AI finds your insights in a whitepaper, on a LinkedIn article, and in a YouTube video, it confirms your status as a multichannel authority.
Action items:
Determine the lowest-friction ways to begin producing video content for your brand.
If you already produce webinars, consider posting them on YouTube, and be sure to use optimized titles and descriptions that clearly explain the content and why it’s valuable.
Repurpose webinars into shortform clips of key insights that can be posted as YouTube Shorts and on LinkedIn.
If possible, begin producing net-new video content for YouTube and your website, or partner with an agency (like Nexus). Even simple talking head footage with basic titles, graphics, and animation can make an impact.
Bridging the Multichannel Gap
Many brands struggle with establishing expertise across channels. This happens when a company has strong technical SEO and a functional sales machine, but lacks the fresh thought leadership that AI engines need to see.
Without a dynamic presence across multiple channels, your brand can feel static or outdated to an AI crawler.
Multichannel content—such as LinkedIn articles and carousels, educational videos, reports, interactive infographics, and more—ensures that your brand remains relevant and recommendable as the search landscape evolves.
The Nexus Approach: Syndication
We help our partners move beyond scattershot marketing and toward a centralized content system that .
Our strategy uses a syndication model to build sustained authority:
Anchor Assets: We start with a high-value piece of proprietary thought leadership content, like a custom industry report, an SME interview, or a produced webinar.
The Content System: We then syndicate that anchor into a suite of related assets, including LinkedIn Pulse articles, email streams, and short-form videos.
Building Momentum: This steady flow of cohesive content empowers your team to close deals faster while training AI models to recommend your brand.
The shift toward AI-driven search is a major opportunity for brands that are ready to lead. By focusing on original, multichannel authority, you can ensure your brand is the one being recommended by the engines of the future.
Curious how we can support your multichannel goals?
Contact us or reach out to your Nexus account team — we can compile custom recommendations, competitor analyses, and examples to show you what this strategy would look like in action for your brand.
If you’re already a Nexus client, we can also identify ways to integrate multichannel content syndication into your current monthly activities.
https://nexusmarketing.com/wp-content/uploads/2026/05/NexusBlog-winning-in-AI-search.jpg4001210David Myershttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngDavid Myers2026-05-15 15:10:432026-05-15 15:10:43Why LinkedIn & YouTube are Key to Winning in AI Search
For RevOps teams, plugging funnel leaks is often more impactful than increasing lead volume. This guide details a tactical, 15-minute HubSpot diagnostic to identify stagnation in the MQL-to-SQL handoff and restore pipeline velocity.
The Revenue Gap
Here’s a hard truth: A healthy volume of Marketing Qualified Leads (MQLs) is a vanity metric if those leads never reach your revenue reports.
For many B2B organizations, the transition from Marketing to Sales is a high-risk “black hole” where hard-won momentum disappears. These gaps aren’t always data errors. They can represent significant wasted acquisition costs and missed revenue targets.
And in mission-driven sectors, buyers are often particularly risk-averse. Your nurture process must be intentional.
When a lead stalls in your CRM, it often signals a breakdown in the consistency and expertise needed to move a professional buyer forward. To fix the funnel, you have to see it clearly.
This 15-minute “X-Ray” exercise uses specific HubSpot views to move beyond surface-level metrics and pinpoint exactly where your deals are stuck.
What You’ll Need to Get Started
Before running this diagnostic, ensure your HubSpot instance is configured for data integrity:
HubSpot Professional or Enterprise: You’ll need advanced reporting features in the Marketing and Sales Hubs.
Standardized Lifecycle Stages: These must be mapped correctly from Lead to Closed-Won to track transitions.
Configured Lead Status Properties: These are essential for tracking the specific steps of sales follow-up.
A Defined MQL-to-SQL Handoff: Clear internal workflows are required to create the consistency needed between departments.
6 Steps to Diagnose Pipeline Stagnation
1. Run a Velocity Check
Use the Stage Discovery Report in the Sales Analytics tool to monitor the Time in Stage property. This lets you see how quickly leads are moving through your pipeline.
If leads are sitting in Discovery or Evaluation for more than 30 days, they aren’t just resting—they’re getting colder and increasingly unlikely to re-engage.
In today’s B2B environment, speed is a primary competitive edge. Stagnation at these middle-of-funnel stages usually indicates a friction point where the buyer hasn’t received the necessary information to de-risk the decision.
Use this report to identify the specific stage where your average “Time in Stage” exceeds your typical sales cycle.
2. Bridge the Handoff Gap
Compare your Lead Status vs. Lifecycle Stage reports to find where the handoff is failing. This is often where the most significant revenue is lost.
Think of it this way: The “truth” of your funnel lies in the discrepancy between marketing’s view and the sales team’s reality.
Look specifically for leads marked as MQL or SQL where the Lead Status remains “New.” If a lead sits in the “New” status for more than 48 hours, it suggests the handoff is broken. This gap often points to a lack of alert visibility for sales reps or a lack of accountability in the transition from marketing automation to human outreach.
3. Monitor Your SLA (Service Level Agreements)
I recommend setting up a Time to First Action report to measure how quickly your team responds to fresh interest.
This can be done by using a simple workflow to date-stamp the moment a lead hits SQL and comparing it to the date of the first recorded sales activity.
Remember, consistency is what builds trust with buyers. A delay of even a few hours can significantly drop conversion rates. By actively measuring this “speed to lead,” you can identify if your team is reaching out while the prospect’s interest is still active (or if you are following up after the window of opportunity has closed).
4. Conduct a Closed-Lost Forensic
Don’t simply archive lost deals—treat them as primary research.
To do this effectively, ensure the Closed-Lost Reason is a required property for your sales team. This ensures that every deal that falls through leaves a trail of data you can use to adjust your strategy.
Analyze these reasons to find recurring patterns.
Is the issue consistently “Price,” “Competitor,” or “Timing”? If “Timing” is the dominant reason, your marketing-to-sales transition may be happening too early. This insight allows you to refine your lead scoring and ensure you only hand over leads that are truly ready for a sales conversation.
5. Spot the Engagement Gap
Filter your contacts by Last Engagement Date vs. Last Sales Activity.
This view often reveals high-fit leads who are actively on your site, consuming content right now, but have zero recorded sales calls or emails in their history.
These prospects are your most immediate opportunities. They are currently “self-educating,” but the lack of sales contact suggests they have been abandoned by the process. By surfacing these gaps, you can prompt your sales team to re-engage with these leads while they’re actively researching your services.
6. Measure the Impact of Your “Anchor Assets”
Use Multi-Touch Attribution Reports—specifically the Linear or U-Shaped models—to see which case studies, whitepapers, or demo videos appear in the journey of “Closed-Won” deals.
This moves your reporting away from vanity views and toward tangible pipeline impact.
To drive the greatest impact, your marketing needs to double down on content that actually drives sales.
Taken a step further, this means that if your top-performing “Anchor Assets” aren’t being utilized by Sales during the handoff or late-stage negotiations, you’re missing a primary tool for proving expertise. Use this data to prune content that doesn’t move the needle and prioritize the resources that do.
The RevOps Bottom Line
The aim of this diagnostic isn’t just to clean up data. It’s about identifying the friction points that prevent your team from closing deals.
By fixing these leaks at the most expensive part of your funnel—the handoff—you’ll move from a reactive strategy to a proactive, revenue-focused operation. Fixing a 5% leak here can be faster, more cost-effective, and just as impactful (if not more) as doubling your top-of-funnel traffic.
If you have any questions about this guide or want to learn more about how Nexus can support or enhance your RevOps systems, please check out our HubSpot services or contact us for a custom consultation.
Happy HubSpotting! 🧡
About the Author: Sarah Medilo, CPQC
Sarah Medilo is the Client Journey Specialist and RevOps Lead at Nexus Marketing, where she blends strategic rigor with a practitioner-first approach to GTM systems. With over two decades of experience working with global tech giants like Apple, Adobe, and Autodesk, Sarah has earned a reputation as the “glue” between complex CRM technology and the people who use it.
She previously led the top HubSpot Diamond Partner agency in the Philippines and served on the HubSpot Partner Advisory Council. A Gallup-certified Strengths Coach, Certified Positive Intelligence Coach (CPQC), and an award-winning AI agent builder, Sarah is passionate about humanizing RevOps—moving teams away from “dirty data” and toward a culture of high-adoption, empathy, and sustainable growth. When she isn’t auditing funnels, she’s likely experimenting with new AI solutions or advocating for better emergency preparedness through tech.
https://nexusmarketing.com/wp-content/uploads/2026/05/NexusBlog-identify-funnel-leaks-with-hubspot-1.jpg4001210David Myershttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngDavid Myers2026-05-04 18:44:212026-05-05 13:03:17The 15-Minute Pipeline X-Ray: How to Use HubSpot to Identify Funnel Leaks
In the mission-driven world, buyers have become increasingly risk-averse.
When a Director of Development looks at your software, they’re comparing features, sure. But they’re also scanning for visual proof that your organization is stable, compliant, and built for the long haul.
This means that design is your primary “trust signal,” your first chance to make an impression worth remembering. If your visuals are fragmented, you risk looking unpolished and signaling that you’re a risky investment.
In fact, the feeling of being “safe signing a contract” has remained the #1 decision driver for winning B2B business for three years running. Honing the look and consistency of your multichannel content pays off.
This crash course explores how to use strategic design to prove your brand is the safe, authoritative choice your prospects need.
Here’s what we’ll cover:
Establishing Organizational Maturity
Consistency = Reliability
Visual Cues for the Buying Group
Making ROI Irrefutable
The Anchor: Establishing Organizational Maturity
In the Nexus content and design framework, we prioritize the Anchor Asset—a high-value piece of intellectual property, such as a flagship whitepaper, industry report, or technical deep-dive.
A high-end Anchor Asset provides the evidence that buyers need to build trust and see your brand as authoritative and dependable.
There are a few reasons why this tactic works:
New Standards: The bar for thought leadership is higher than it has ever been, making table-stakes quality a requirement for entry.
Becoming the Incumbent: Being seen as an active thought leader is the #1 reason existing suppliers retain their business when challenged by competitors.
Signaling Authority: A well-designed report with custom data visualizations and SME interview pull-quotes signals that you’ve invested time and resources into understanding your audience, moving you from another vendor to a true strategic partner.
Try this example. Imagine you sell volunteer management software. Instead of a generic sales flyer, you produce a “2026 National Volunteer Engagement Report.”
By featuring professional typography and clean, branded layouts, the report signals organizational maturity that a simple blog post cannot match. The report starts all kinds of conversations and creates opportunities to spread your thought leadership far and wide.
Consistency = Reliability
In the B2B world, consistency is a visual proxy for dependability.
According to the report cited above, “being dependable” is a top gap where brands fail to meet buyer expectations. When your marketing materials are fragmented, you are effectively taxing your prospect’s brain, forcing them to reconcile different visual identities while they are trying to evaluate your solution.
Winning brands in 2026 are finding an edge through buyability—making it easier for buyers to understand, trust, and purchase a solution. To understand why this matters, let’s look at two hypothetical scenarios:
The Frankenstein Brand (A Study in Risk)
Imagine a nonprofit Executive Director who just finished reading your authoritative, high-end “2026 Industry Trends” report (your Anchor Asset). They are impressed and forward the resource to their Board of Directors.
A week later, your sales team sends over a follow-up presentation deck. However, this deck was created as a one-off Random Act of Content. It uses a different font, a different color palette, and low-resolution stock photos that don’t match the sophisticated style of the original report.
This visual drift creates an immediate sense of unease. The prospect wonders: “If their marketing is this disorganized, what does their implementation process look like? Is my data safe with them?”.
You lose the #1 decision driver for winning B2B business: the feeling that it is safe to sign a contract with your brand.
The “Single Visual DNA” System (A Study in Trust)
Now, imagine that same prospect interacting with a brand that utilizes a cohesive Content System.
You take a specific chart from your Proprietary Data report. That exact chart—using the same stroke weights, data visualization colors, and iconography—is repurposed into a LinkedIn carousel post and a branded webinar title card.
When the prospect sees that same data-point across three different channels, your brand authority is reinforced. This consistency establishes your organization as a professional entity worth citing and following.
By making the buying journey easy through visual cohesion, you can shorten your sales cycle by 31% and see a 14% uplift in the average dollar value of the opportunity.
Visual Cues for the Buying Group
In the nonprofit sector, B2B deals are rarely closed in a vacuum. They’re decided by committees and diverse buying groups.
Strategic design acts as a silent advocate in those meetings, providing the visual proof your internal champion needs to move the group from initial awareness to an executed contract. The impact of getting this right can be significant:
Shortening the Sales Cycle: Brands that provide an excellent buyer experience close business 31% faster, saving up to four months of decision time compared to poor performers.
Increasing Deal Value: A ten-point improvement in your brand’s experience score correlates with a 14% uplift in the average dollar value of an opportunity.
Reach through Reputation: High-end design builds brand reach, making it easy to convince colleagues of your brand’s credentials before a single sales call even takes place.
This approach requires moving beyond generic PDFs and equipping your champion with a cohesive Sales Enablement Portfolio.
For example, imagine providing your contact with a slide deck specifically designed for a finance committee review. This deck would mirror the visual DNA of your high-value Anchor Asset, using consistent typography and clean iconography to signal organizational maturity. You might include a one-page Impact Summary that uses branded data visualizations to highlight projected ROI, such as a bold call-out box illustrating a 20% reduction in donor churn. A professionally designed Buyer’s Guide or Objection Guide can proactively address board-level concerns regarding implementation timelines and tech-stack compatibility.
When these materials look as stable and polished as the nonprofit’s own mission, you remove the friction that keeps deals from closing.
Data Visualization: Making ROI Irrefutable
In a market where buyers are increasingly risk-averse, simply promising impact is no longer enough.
You have to provide visual proof that your service adds financial value. Strategic design helps you transform complex financial arguments into irrefutable evidence.
Clean data visualization is the ultimate form of transparency. By moving beyond walls of text and using a consistent style, you satisfy the board’s need for evidence without forcing them to hunt for it.
How to use visualization to shorten your sales cycle:
Highlight ROI at a Glance: Instead of burying results in a paragraph, use bold, branded call-outs. For example, a chart could illustrate a 30% increase in average gift size over six months.
Prove Dependability: Use line graphs to show trending improvements, such as a 25% boost in donor retention.
Demonstrate Buyability: Visually showing exactly how your software connects to their existing CRM and accounting tools provides the immediate reassurance boards need to feel safe signing a contract.
By evidencing your expertise through professional data, you position your brand as a transparent partner rather than just another vendor.
Designing for trust is not a vanity project. It’s now a necessity for mission-driven brands selling in an increasingly risk-averse environment where trust remains the single biggest differentiator between winning and losing.
After all, brands that offer an “excellent” buying experience close deals 31% faster—saving up to four months of time compared to poor performers—and see a 14% uplift in individual contract value. Furthermore, because brands seen as active thought leaders are twice as likely to be highly trusted, your Anchor Asset serves as the most powerful safety signal in your sales arsenal.
https://nexusmarketing.com/wp-content/uploads/2026/04/Designing-for-Trust-Visual-Cues-that-Close-Deals.png4001210David Myershttps://nexusmarketing.com/wp-content/uploads/2026/03/NX-Logo.pngDavid Myers2026-04-29 12:46:482026-05-29 17:00:16Designing for Trust: Visual Cues that Close Deals
Why AI Search Engines Are Recommending Your Competitors Instead of You
/in Client & Industry Resources/by Jenny RussIf your target buyers are asking ChatGPT, Gemini, or Claude for software or agency recommendations, does your company show up at all?
Generative search and AI-driven discovery are no longer emerging trends—they are fundamental shifts in how B2B buyers find, evaluate, and choose vendors. According to a Conductor study on AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization), over 90% of CMOs plan to increase their GEO budget allocations to keep pace with changing search behaviors.
When prospective buyers ask AI engines for the top service providers or SaaS solutions in mission-driven sectors—whether in healthcare, higher education, associations, or nonprofits—AI search engines are actively choosing who to recommend. If your competitors consistently appear in those answers while your brand remains silent, it isn’t random. It comes down to one core reality: Your competitors have built a clearer, more authoritative brand entity across the web.
Below is a step-by-step breakdown of what you can do to increase your visibility on AI recommendation engines.
Step 1: Diagnose the gap — Pure Visibility vs. Brand Evaluation
When analyzing why AI search engines are skipping your brand, you need to differentiate between two distinct problems:
1. The Pure Visibility Problem
This occurs during unbranded discovery queries. A prospect enters a prompt like: “What is the best budgeting software for mid-sized nonprofits?”
If AI lists five of your direct competitors but omits your brand entirely, you have a pure visibility problem. You aren’t even entering the consideration set.
2. The Evaluation & Sentiment Problem
This occurs when a prospect specifically asks an AI tool to evaluate or compare your business: “How does [Your Company] compare against [Competitor] for association management software?”
If the AI engine hallucinates missing features, misunderstands your pricing model, or frames your competitor as the superior choice due to lack of information, you have an evaluation problem.
Takeaway: You must first ensure your brand is discoverable (visibility), and then ensure the AI engine accurately understands your value proposition and market differentiation (evaluation).
Step 2: Track and measure your AI Visibility
You cannot fix what you do not measure. Unlike traditional SEO, where tools like SEMrush or Ahrefs provide exact keyword ranking positions on Google, tracking AI search visibility requires a multi-pronged approach:
Step 3: Take a hard look at your own website
Your website is the single most authoritative source of truth about your business. When LLMs crawl the web to answer comparative or discovery prompts, your core pages—product, service, solutions, and About pages—provide the foundational context.
If your core pages treat your offerings like a high-level digital brochure rather than a detailed informational asset, AI tools will struggle to understand your value.
Key On-Page GEO Optimizations:
Free Resource: Initial GEO Assessment Checklist | Uncover the gaps keeping your business hidden from AI recommendations. Download our Initial GEO Assessment Checklist to evaluate your GEO readiness.
Step 4. Take control of the competitive narrative
If you don’t define how your product or service compares to competitors, someone else will—or worse, AI tools will make assumptions based on third-party chatter.
Build Strategic Head-to-Head Comparison Pages
One of the most effective strategies for controlling your AI perception is publishing transparent, objective comparison content directly on your site:
Furthermore, ensure your About Page includes a sharp product and solution-focused brand bio. While company history and culture are important, the About page must explicitly state who you serve, what primary problems you solve, and why your solution leads the category.
Don’t let competitors capture the digital market share you’ve earned. Use our step-by-step GEO Assessment Checklist to identify on-page gaps, structure your brand entity, and optimize for AI recommendation engines.
Step 5: Optimize your brand’s offsite presence
If you feel like you’re already doing the steps above and you’re still not showing up in AI engines, it’s possible that your offsite presence needs to be improved.
AI engines cross-reference off-site channels to validate your brand entity.
1. Optimize Owned Off-Site Channels
2. Strengthen Industry Channel Footprint
Ensure your brand is accurately listed across industry directories, review platforms, top provider roundups, and authoritative media outlets. Consistent entity details across external sites reinforce your authority and make AI models far more likely to recommend you as a trusted leader.
Get these tips in a concise, actionable checklist format! Download the checklist before you leave this page.
Final Thoughts: Securing Your Market Perception in the AI Era
Winning in AI search isn’t about gaming an algorithm—it’s about establishing absolute clarity around your brand entity across every corner of the web. When you build comprehensive on-page assets, explicitly detail your value proposition, and syndicate authoritative content across off-site channels, AI search engines will stop overlooking your brand and start recommending you over the competition.
We’re here to help you scale
If you have questions about your own SEO or AI Visibility, Nexus is more than happy to explore how we can help.
Contact us via this form– we’d love to chat!
AI Website Builders: Should I Use It for My Brand?
/in Deciphering SEO News/by Rafi NorbergHighlights
AI-native website builders like Lovable and Meno are rapidly gaining traction across marketing teams and website developers alike. The value proposition is hard to ignore: what traditionally required a 3-to-6-month development cycle can now be shipped in mere days.
On the surface, it sounds like a dream. So why the hesitation?
These platforms empower non-technical marketers to “vibe code”—describing a site’s functionality in plain English and letting AI architect the codebase. This removes the friction of developer handoffs, accelerates the time-to-market for campaign landing pages, and significantly reduces the overhead associated with custom front-end development.
However, the convenience of AI generation masks significant risks. Many marketers are unaware of the underlying architecture these builders use—and when it comes to brand equity and trust, what you don’t know can be your biggest liability.
AI Means Unmatched Speed
The operational benefits of AI website builders are undeniable. In our company, we use AI-native builders for building microsites and sub-product pages. Frankly, the design quality outpaces what most mid-level developers can ship in a month.
Some advantages we have experienced:
The case for AI website builders is clear when producing MVPs and building microsites.
What about bigger sites like our core brand website?
The Trap: Your AI Site Might Be “Invisible”
The primary risk with AI-native builders lies in a technical concept many marketers may overlook: the difference between Server-rendered (Static) HTML and Client-side rendering (CSR).
Traditional platforms like WordPress or Webflow use the Server-rendered (Static) HTML model, which means that they serve a complete HTML document – headings, body copy, links, schema – already in place. When a crawler arrives, it gets everything in one request.
On the other hand, many AI-native builders like Lovable, Bolt, and v0 often default to Client-side rendering: they generate React single-page applications. This means the server sends an “empty shell” of HTML, and JavaScript (JS) runs in the visitor’s browser to build the page.
For a human visitor, this is fine. For a crawler, your site’s content may be invisible.
Crawler Comparison: The Invisibility Gap
If your site’s content isn’t visible to crawlers, then your brand will not be recommended in AI Search.
Not all AI builders are created equal
Here’s the caveat: some AI website builders do NOT limit you to client-rendered configurations. That means that your AI-built site’s contents may be read by crawlers. However, it may still require some technical knowledge to ensure the right configuration.
For example, Framer uses AI for design but ships static HTML by default. 10Web uses AI generation on a WordPress backend. These are “safer” for SEO and AI Visibility.
Lovable has the option of doing static generation (not CSR), and recently introduced SEO updates to address search and visibility issues. But the burden of configuration still rests on the builder. If you don’t know to flip the switch, your site remains a ghost.
Bottomline, the responsibility of due diligence is on the marketer. Using an AI website builder requires that you understand the exact mechanism an AI website builder uses, and its implications on crawlability.
The One-Minute Diagnostic: The “View Source” Test
You can test your own site’s AI visibility right now (especially if you built it using AI-native builders).
The Verdict: If your text isn’t there, your current website is invisible to search. If the text only exists after JavaScript runs, most LLMs cannot “see” your website content.
AI-Built Websites are Vulnerable to Breaches
In April 2026, the $6.6 billion “vibe coding” platform Lovable suffered a massive breach. With a free account and just five API calls, anyone could access the source code, database credentials, customer data, and AI chat histories of other Lovable users.
This incident exposes a critical flaw in relying solely on AI to build websites: Large Language Models (LLMs) typically optimize for functionality alone, not security and permissions. AI generators routinely fail to establish basic security boundaries, often fetching data by user ID without verifying if the user actually has permission to view it. Because of this, database credentials and sensitive business logic were left fully exposed and visible.
Another concrete example of potential consequences: one EdTech app hosted on Lovable’s Discover page had vulnerabilities which led to the exposure of over 18,000 user records, more than 4,000 of which were of students.
Shipping AI-generated code to production without qualified human oversight is a ticking time bomb. When security protocols are overlooked in favor of rapid generation, the risks offset the benefits for your business.
Our Verdict on AI Website Builders for B2B Brands Selling to Mission-Driven Buyers
My advice to marketers considering using AI website builders:
For B2B brands selling into the mission-driven sector, trust is a non-negotiable asset. Reliability is compromised when your website suffers technical failures that your team cannot resolve – all because the underlying infrastructure was fully delegated to an AI without expert oversight.
Furthermore, a security breach can cause irreparable damage to your brand equity. Given the extended sales cycles typical in nonprofits, healthcare, and education, rebuilding lost trust is difficult and expensive.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
The Nexus Content Value & Scoping Blueprint
/in How We Work/by JordanExecutive Summary: How Nexus Amplifies Your In-House Team
Your internal team knows your product, industry, and voice better than anyone.
Nexus adds the search intent strategy, technical SEO, AI visibility, and conversion mechanics that make content rank on Google, get cited by AI engines, and drive measurable revenue.
That work is grounded in specialization. Nexus is the top agency for B2B marketing to mission-driven sectors. We’ve helped 100+ brands selling into nonprofit, association, education, and healthcare markets, so we already know your target audience, how their buyer intent works, and what performs in your space.
The goal of every asset we touch is the same: make your business the default answer for mission-driven buyers in your market.
The Operational Gap: Content Production vs. Search Engineering
In-house writers are strong communicators, but enterprise search performance is a separate discipline with its own toolsets and time demands. Here is what Nexus adds to the partnership:
How We Use AI: Fast Production, Human Judgment
AI has already made part of our process faster, and we’ve built those savings into the scopes in this document.
What AI has not changed is the judgment around the draft: deciding what to write and why, supplying the proprietary insight that makes it original, verifying every fact, and curating the language so it sounds like you and not a machine.
Here is the same deliverable produced three ways:
An Agent Pipeline With a Human at Every Checkpoint
Every piece passes through a sequence of purpose-built AI agents, and a Nexus strategist reviews the output at a mandatory checkpoint after each. We do not press “generate” and ship the result. Our strategist directs the agents, interrogates their output, and rewrites anything that falls short, acting as editor-in-chief for the AI rather than a typist.
The Quality Gate Before Anything Reaches You
No draft goes to your team until it clears a human-run review:
On-Site Content Creation Breakdown
Here is what each stage delivers, and where the agent pipeline and your strategist each do their part, compared against a standard writing process:
On-Site Content Improvement & Refreshes
Why Content Improvement Requires Dedicated Engagement Hours
Google rewards maintained content, and an existing page that drops in rankings is losing revenue.
There is also a newer problem: most older content was written before AI search existed, so it was never built for AI Overviews or for the way AI engines fan a single question out into many related queries. When Nexus refreshes a page, we are overhauling the asset structurally, visually, and algorithmically so it performs in both classic search and AI answers.
Tier 1: SEO Content Relaunch / Expansion
Best for: Pages that need substantial improvement and content expansion to rank and convert. Typically older or underperforming blog content that has lost its competitive edge.
What the hours deliver:
Tier 2: Content Optimization
Best for: Product, service, and core landing pages that need targeted SEO improvements to lift search performance and lead generation without a full rewrite.
What the hours deliver:
Off-Site Content & Partner Network Distribution
With off-site content (partner posts), you are paying for relationships and distribution.
The Nexus partner network is proprietary: established editorial relationships with B2B and mission-driven publications across the nonprofit, association, education, and healthcare sectors, built over years of successful placements.
Those partners already know us and trust our content.
The do-it-yourself alternative is cold outreach to publishers who have no reason to respond, and the vast majority of those emails go unanswered.
Two scoped hours inside a standing network reliably produce what months of cold email usually cannot: a live placement on an authoritative, industry-relevant site.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
How Google’s New AI Performance Report Impacts Your AI Visibility Tracking
/in Deciphering SEO News/by Rafi NorbergGoogle has officially launched its new Search Generative AI performance reports. With this new module available in Google Search Console, we can get better insights into your brand’s AI Visibility on Google’s AI Mode and AI Overviews.
Although this module has only been partially rolled out, this is an exciting development since such reports were only previously available on Bing for Microsoft Copilot and Bing’s AI-generated summaries.
Image source: Introducing Search Generative AI performance reports in Search Console
So how does Google’s new report impact your AI Visibility tracking?
Benefits of Google’s AI Performance Reports
Limitations of Google’s AI Performance Reports
In summary, Google’s new Search Console AI performance reports provide accurate, first-party data on your brand’s organic impressions within Google’s AI features, allowing you to quantify your total scale of exposure.
In contrast, Nexus’s AI Visibility reports utilize third-party simulations to track brand mentions and citations across key prompts that matter to your brand, helping you reverse-engineer the “why” and “where” behind your visibility and analyze competitor performance as well. These simulations also allow us to track your brand’s visibility across multiple LLMs, not just Google’s AI Overviews.
By combining Google’s absolute impression data with Nexus’s prompt-based tracking, you gain a more comprehensive view of your AI-driven search presence. Our prompt-based approach offers the granularity needed to build an actionable roadmap for improving your AI visibility, which we can then validate with Google’s absolute impression data.
Counts only clickable URL citations as an impression.
Counts both URL citations and brand name-drops or mentions.
Important Note
Due to Google’s partial rollout, Google’s AI performance reports are not yet available for all accounts. For Nexus clients with GEO services included in their scope, our team is closely monitoring your Search Console for this rollout. Once this dedicated generative AI view goes live for your site, we will pivot our reporting to include these visibility metrics to provide you with additional insights on your AI Visibility.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
Beyond A/B Testing: Practical Conversion Rate Optimization Strategies for Low-Traffic Sites
/in Client & Industry Resources/by David MyersConversion rate optimization (CRO) is a data-driven process of continuously improving interfaces and experiences to turn more website or app visits into customers. In other words, maximizing the value of your site’s traffic.
Often, CRO is mistaken as being synonymous with A/B testing. Or, businesses might think that CRO requires tightly constricting all possible user actions on a page. Even more businesses think that CRO is a one-time practice that can be done via “quick hacks” from blogs, ebooks, or podcasts.
These aren’t bad starting points for exploring CRO for your business! However, it’s limiting to think that CRO is just about testing, and risky to expect that one-time hacks will drive up your revenue.
We offer CRO services and data-driven, iterative optimization practices that drive scaling value — but if you’re new to CRO, concerned about its effectiveness for smaller brands, or curious about first steps, where do you start?
This quick guide explores CRO and tactical ways to build an ongoing optimization practice for your business, even if you receive relatively low traffic volumes. We’ll cover:
The Basics of CRO
Regardless of whether you’re working with an agency or doing CRO in-house, the core CRO process will include three basic steps:
Depending on who you consult, there could be many variations in how these three basic steps are executed. But, in essence, it all comes down to understanding what’s happening on your website based on the data you see, defining the problem you need to solve to help visitors (and prospects) complete the expected action, and then finding a solution to that problem.
Here’s a closer look at each step:
The Challenge of Sample Size
These three basic steps are easier to put into action on a website with a decent amount of traffic. This is because more traffic makes it easier to establish patterns, test ideas, and confidently say that a change did or did not make an impact.
What if you’re concerned
For niche businesses, including mission-driven B2B brands, average monthly traffic is likely quite lower than what a medium to large B2C brand might see. And for any smaller brand, site traffic is expensive and can be a luxury.
You might not have the budget to pull in more people to your site through paid campaigns, or you could be relying solely on organic efforts, which still costs money and resources to support.
Unfortunately, for a standard fixed horizon A/B test to be trustworthy, it needs enough traffic volume to achieve statistically significant and high confidence results. Here’s a quick illustration of why this is the case:
Example A: Pre-test analysis with an ideal test page (enough traffic to get statistically significant and high-confidence results within 6 to 8 weeks)
Minimum detectable effect (MDE) estimations tells us how much impact our tested page variation needs to have to get a significant result. It essentially represents the size of the improvement your new page variant needs to achieve for you to mathematically prove it was the cause of the success. Commonly, this should be less than 20% depending on the scale of the change you plan to run through a 6- to 8-week test.
Example B: Pre-test analysis from a low-traffic web page tells us it’s not viable to do an A/B test based on the MDE and the duration.
In this case, the MDE is too high and would risk generating false negative or false positive results.
But while it’s more challenging to execute the core steps of CRO for a low traffic website, that doesn’t mean low-traffic sites can’t do CRO. The best time to do CRO isn’t when you have the traffic, but as early as you possibly can.
Building a high-converting site can pay dividends as your traffic grows over time.
Think of it this way: Waiting until you’ve already grown your traffic to start optimizing means you’ve likely left a ton of conversions and value on the table along the way. It’s possible to adapt your approach to your current circumstances and iterate as you go.
The B2B High-Value Factor
When starting with CRO, it’s helpful to remember the outsize impact that improvements can make for B2B businesses.
Remember, you aren’t chasing millions of clicks.
If you have low traffic but high contract values, a single extra conversion from the five ideal buyers visiting your site this month could completely fund your marketing budget for the quarter. Every single visitor can count exponentially more.
5 Steps for Low-Traffic CRO
1. Understand your data.
You don’t need a sophisticated tool to start your CRO analysis.
If all you have is Google Analytics, a heatmap tool like MS Clarity (which is free!), and a spreadsheet with all your leads, start with those data sources. You’ll just need to understand how they relate to each other because they have different data collection methods and purposes.
With your available data, try these steps:
2. Talk to your customers.
This is the most direct way to get feedback, and the insights can be invaluable.
One of the best data points to collect is what almost stopped customers from doing business with you. If a pattern emerges, add it to the problems identified and find a way to solve it.
Here are three questions that can help reveal the reasons prospects aren’t converting:
If directly asking your customers is challenging, make the most out of your sales and any client-facing teams. They talk directly to your customers and have firsthand experience of their confusions and frustration points.
Document all the identified pain points along with how your team usually counters them to still close the sale or appease the client. These pieces of information are incredibly valuable for improving copywriting and clarity on your site.
3. Explore alternative and non-A/B test designs.
Testing a solution is thankfully not limited to just A/B tests — if it were, CRO might be impossible for low-traffic sites.
However, there are plenty of alternative data collection and testing methods that can work for lower-traffic sites.
Other common approaches to CRO for low traffic sites are user testing, surveys, focus group discussions, and method marketing. These can all help you learn more about your clients and their buying journeys straight from the source.
If you’re still keen to conduct technical testing despite low traffic volume, you have options. I explored this topic in-depth for Experiment Nation in this presentation:
To summarize a few of the most actionable routes you could take to run CRO tests on a low-traffic site:
4. Set up guardrails.
Guardrails are metrics that act as protective boundaries or early warning systems to your test. This will tell you when it’s time to pause or stop and redesign the test because you’re doing more harm than good to your user experience or backend performance.
Sample guardrails could be exit rates should not exceed 80% in doing this test or page load time should not slow down to 10 seconds. If you hit your guardrail metric, pause and rethink your approach.
5. Don’t stop testing and learning.
Because you’re running on low traffic volume, it’s difficult to be sure that the results you get from tests are truly repeatable. Even after you have completed a test and decided that it made a positive impact enough to make the changes permanent, always monitor the performance.
Repeat the test setup as needed to help you make more strategic decisions. More importantly, document your learnings. It’s possible to see a different outcome over time, so it’s vital to know what made the test perform that way.
Whether a test shows positive or negative results, there is always something to learn to inform your business strategy and decisions.
At the end of the day, our goal is to find the middle ground between what your business wants to achieve and the problems your customers want to solve or a pain they want to alleviate.
Need help with your conversion rate optimization program? Nexus Marketing offers CRO services focused on helping mission-driven brands that serve niche audiences (and often see lower-than-average traffic volumes) turn more of their website traffic into actual leads and sales.
Ask us how we’d approach your website’s CRO program, and we can provide some preliminary observations and recommendations.
Already a Nexus client? Reach out to your account team to learn more about our CRO services.
Happy optimizing!
About the Author
Carla Quizon, CRO Lead, Nexus Marketing
Former Head of Client Success Management and CRO at a performance marketing agency, Carla democratizes conversion rate optimization for B2B websites with specialized ICPs and lower traffic. Over the last five years, she has been developing frameworks that prove smaller organizations can also leverage professional data-driven experimentation to inform their strategies.
Google’s New AI Search Rules (And What It Means For You)
/in Deciphering SEO News/by Rafi NorbergThis May, Google dropped official guidance for the first time in over a year on how they are thinking about rankings within AI search.
For B2B firms selling into nonprofits, healthcare, associations, or education, here’s what you need to know.
Key Takeaways from Google’s Search Update
1. Core SEO strategies still apply for AI search
Google officially affirmed that core SEO strategies are the exact foundation needed for generative AI search. Google officially affirmed that core SEO strategies are the exact foundation needed for generative AI search. The Nexus approach—improving your website’s messaging, optimizing internal linking, and building offsite authority—is your essential foundation for winning visibility in the era of AI search engines.
2. Brand consistency across the web matters
AI Search is built on Retrieval-Augmented Generation (RAG). This means that AI search engines pull core, “grounded” brand information from their index first, and then layer recent updates on top. Your business is now judged by its entire digital footprint across the internet, not just your website. If your footprint is fragmented, AI models get confused and pass you over.
3. Multi-Channel Syndication (YouTube is more important than you think!)
Data shows that brands with active, robust YouTube channels are consistently being prioritized in AI answers. Treating video as a core growth channel is no longer optional.
Unfortunately, roughly 80% of the B2B brands I look at have no real YouTube strategy. If this describes you, you might want to check out our recently published guide that talks about content syndication across YouTube and LinkedIn.
At Nexus, we help clients establish multi-channel presence by syndicating content from an existing anchor asset.
4. Build a Case Study Library
When you’re selling into mission-driven sectors, your edge shows up far better in proof of client outcomes than in another blog post — the nonprofit you helped raise more, the association you helped grow membership, the health or education client whose numbers moved.
5. Authoritative Mentions are Non-Negotiable
AI search tools rely heavily on third-party citations to validate answers, especially in trust-heavy sectors like healthcare or education. Google explicitly warned against spam, favoring organic, contextual mentions. This just reinforces the value we bring by securing high-quality, relevant backlinks for your brand through our Nexus network of 500+ industry partners.
Through our network of partners, we are able to help our clients build offsite authority and boost their AI visibility. You can read more about our partner network here.
Interested to learn more?
I discuss these insights on Google’s recent updates in more depth in my LinkedIn video here.
We’re here to help you scale
If you feel like there is room for improvement for your brand in these areas, Nexus is more than happy to explore how we can help.
Contact us via this form, or reach out to your Account Manager – we’d love to chat!
Why LinkedIn & YouTube are Key to Winning in AI Search
/in Client & Industry Resources/by David MyersThe way mission-driven organizations find professional services is changing fast.
For a long time, the goal was simple: rank on the first page of Google for the right keywords. While that still matters, we’re seeing a clear shift toward Generative Engine Optimization (GEO).
Today, your brand needs to do more than show up in a list of links; it needs to be the answer that AI engines like ChatGPT, Gemini, and Perplexity recommend directly to their users. How?
Becoming an authority trusted by LLMs requires a broader digital footprint than a standard blog can provide. AI models look for consensus across the web to learn who the real experts are.
To win in this new environment, your brand needs a coordinated, multichannel strategy. Here’s what we’ll cover in this crash course:
Why AI Engines Crave Multichannel Content
Large Language Models (LLMs) like ChatGPT Search, Perplexity, and Google’s AI mode behave differently than traditional search engines.
They’re designed to summarize and recommend the most credible “entities” in any given space. When your brand only exists on your own website, you’re providing a single data point. AI models typically require multiple, consistent signals across different platforms to verify that your brand is a trusted authority.
This is where multichannel content becomes your strongest competitive advantage.
By appearing on LinkedIn, YouTube, and other high-authority domains, you train these AI models to recognize your expertise. And the more places your original thought leadership appears, the higher the confidence score the AI assigns to your brand.
The Platforms Driving AI Citations
AI models do not treat all websites equally. They prioritize platforms where original, human-led discussions take place.
According to 2026 data from Semrush, a few specific domains dominate the citation landscape:
If your marketing strategy ignores owned external channels like these, you’re essentially invisible to the engines that organizations are using to make buying decisions.
Reddit can be challenging to master at scale and can be less impactful for some B2B brands than others. Your presence on LinkedIn and YouTube, however, is entirely within your control and can play important roles in B2B buying decisions.
LinkedIn: Establishing Professional Authority
LinkedIn is currently one of the most important channels for training AI on your B2B brand identity. However, the AI engines can be very selective about what they choose to cite from the platform:
The Importance of Originality
Data shows that roughly 95% of LinkedIn citations across ChatGPT Search, Perplexity, and Google AI come from original posts. Reshared content is almost never recommended by AI. To be cited, your brand must lead the conversation with its own unique insights.
Action items:
Posting Consistently
The most frequently cited pages on LinkedIn typically post five or more times per month. This steady flow of content provides the “freshness” signals that AI models use to determine which brands are active industry leaders.
Action items:
YouTube: Building Multimodal Trust
YouTube serves as a multimodal anchor for your brand’s visibility.
AI engines do more than just index the video title; they crawl high-fidelity transcripts to understand the depth of your expertise. By hosting webinars or sharing expert-led video guides, you provide structured data that AI models can easily summarize and cite.
This creates a powerful cross-reference signal. When an AI finds your insights in a whitepaper, on a LinkedIn article, and in a YouTube video, it confirms your status as a multichannel authority.
Action items:
Bridging the Multichannel Gap
Many brands struggle with establishing expertise across channels. This happens when a company has strong technical SEO and a functional sales machine, but lacks the fresh thought leadership that AI engines need to see.
Without a dynamic presence across multiple channels, your brand can feel static or outdated to an AI crawler.
Multichannel content—such as LinkedIn articles and carousels, educational videos, reports, interactive infographics, and more—ensures that your brand remains relevant and recommendable as the search landscape evolves.
The Nexus Approach: Syndication
We help our partners move beyond scattershot marketing and toward a centralized content system that .
Our strategy uses a syndication model to build sustained authority:
The shift toward AI-driven search is a major opportunity for brands that are ready to lead. By focusing on original, multichannel authority, you can ensure your brand is the one being recommended by the engines of the future.
Curious how we can support your multichannel goals?
Contact us or reach out to your Nexus account team — we can compile custom recommendations, competitor analyses, and examples to show you what this strategy would look like in action for your brand.
If you’re already a Nexus client, we can also identify ways to integrate multichannel content syndication into your current monthly activities.
The 15-Minute Pipeline X-Ray: How to Use HubSpot to Identify Funnel Leaks
/in Client & Industry Resources/by David MyersExecutive Summary
For RevOps teams, plugging funnel leaks is often more impactful than increasing lead volume. This guide details a tactical, 15-minute HubSpot diagnostic to identify stagnation in the MQL-to-SQL handoff and restore pipeline velocity.
The Revenue Gap
Here’s a hard truth: A healthy volume of Marketing Qualified Leads (MQLs) is a vanity metric if those leads never reach your revenue reports.
For many B2B organizations, the transition from Marketing to Sales is a high-risk “black hole” where hard-won momentum disappears. These gaps aren’t always data errors. They can represent significant wasted acquisition costs and missed revenue targets.
And in mission-driven sectors, buyers are often particularly risk-averse. Your nurture process must be intentional.
When a lead stalls in your CRM, it often signals a breakdown in the consistency and expertise needed to move a professional buyer forward. To fix the funnel, you have to see it clearly.
This 15-minute “X-Ray” exercise uses specific HubSpot views to move beyond surface-level metrics and pinpoint exactly where your deals are stuck.
What You’ll Need to Get Started
Before running this diagnostic, ensure your HubSpot instance is configured for data integrity:
6 Steps to Diagnose Pipeline Stagnation
1. Run a Velocity Check
Use the Stage Discovery Report in the Sales Analytics tool to monitor the Time in Stage property. This lets you see how quickly leads are moving through your pipeline.
If leads are sitting in Discovery or Evaluation for more than 30 days, they aren’t just resting—they’re getting colder and increasingly unlikely to re-engage.
In today’s B2B environment, speed is a primary competitive edge. Stagnation at these middle-of-funnel stages usually indicates a friction point where the buyer hasn’t received the necessary information to de-risk the decision.
Use this report to identify the specific stage where your average “Time in Stage” exceeds your typical sales cycle.
2. Bridge the Handoff Gap
Compare your Lead Status vs. Lifecycle Stage reports to find where the handoff is failing. This is often where the most significant revenue is lost.
Think of it this way: The “truth” of your funnel lies in the discrepancy between marketing’s view and the sales team’s reality.
Look specifically for leads marked as MQL or SQL where the Lead Status remains “New.” If a lead sits in the “New” status for more than 48 hours, it suggests the handoff is broken. This gap often points to a lack of alert visibility for sales reps or a lack of accountability in the transition from marketing automation to human outreach.
3. Monitor Your SLA (Service Level Agreements)
I recommend setting up a Time to First Action report to measure how quickly your team responds to fresh interest.
This can be done by using a simple workflow to date-stamp the moment a lead hits SQL and comparing it to the date of the first recorded sales activity.
Remember, consistency is what builds trust with buyers. A delay of even a few hours can significantly drop conversion rates. By actively measuring this “speed to lead,” you can identify if your team is reaching out while the prospect’s interest is still active (or if you are following up after the window of opportunity has closed).
4. Conduct a Closed-Lost Forensic
Don’t simply archive lost deals—treat them as primary research.
To do this effectively, ensure the Closed-Lost Reason is a required property for your sales team. This ensures that every deal that falls through leaves a trail of data you can use to adjust your strategy.
Analyze these reasons to find recurring patterns.
Is the issue consistently “Price,” “Competitor,” or “Timing”? If “Timing” is the dominant reason, your marketing-to-sales transition may be happening too early. This insight allows you to refine your lead scoring and ensure you only hand over leads that are truly ready for a sales conversation.
5. Spot the Engagement Gap
Filter your contacts by Last Engagement Date vs. Last Sales Activity.
This view often reveals high-fit leads who are actively on your site, consuming content right now, but have zero recorded sales calls or emails in their history.
These prospects are your most immediate opportunities. They are currently “self-educating,” but the lack of sales contact suggests they have been abandoned by the process. By surfacing these gaps, you can prompt your sales team to re-engage with these leads while they’re actively researching your services.
6. Measure the Impact of Your “Anchor Assets”
Use Multi-Touch Attribution Reports—specifically the Linear or U-Shaped models—to see which case studies, whitepapers, or demo videos appear in the journey of “Closed-Won” deals.
This moves your reporting away from vanity views and toward tangible pipeline impact.
To drive the greatest impact, your marketing needs to double down on content that actually drives sales.
Taken a step further, this means that if your top-performing “Anchor Assets” aren’t being utilized by Sales during the handoff or late-stage negotiations, you’re missing a primary tool for proving expertise. Use this data to prune content that doesn’t move the needle and prioritize the resources that do.
The RevOps Bottom Line
The aim of this diagnostic isn’t just to clean up data. It’s about identifying the friction points that prevent your team from closing deals.
By fixing these leaks at the most expensive part of your funnel—the handoff—you’ll move from a reactive strategy to a proactive, revenue-focused operation. Fixing a 5% leak here can be faster, more cost-effective, and just as impactful (if not more) as doubling your top-of-funnel traffic.
If you have any questions about this guide or want to learn more about how Nexus can support or enhance your RevOps systems, please check out our HubSpot services or contact us for a custom consultation.
Happy HubSpotting! 🧡
About the Author: Sarah Medilo, CPQC
Sarah Medilo is the Client Journey Specialist and RevOps Lead at Nexus Marketing, where she blends strategic rigor with a practitioner-first approach to GTM systems. With over two decades of experience working with global tech giants like Apple, Adobe, and Autodesk, Sarah has earned a reputation as the “glue” between complex CRM technology and the people who use it.
She previously led the top HubSpot Diamond Partner agency in the Philippines and served on the HubSpot Partner Advisory Council. A Gallup-certified Strengths Coach, Certified Positive Intelligence Coach (CPQC), and an award-winning AI agent builder, Sarah is passionate about humanizing RevOps—moving teams away from “dirty data” and toward a culture of high-adoption, empathy, and sustainable growth. When she isn’t auditing funnels, she’s likely experimenting with new AI solutions or advocating for better emergency preparedness through tech.
Designing for Trust: Visual Cues that Close Deals
/in Client & Industry Resources/by David MyersIn the mission-driven world, buyers have become increasingly risk-averse.
When a Director of Development looks at your software, they’re comparing features, sure. But they’re also scanning for visual proof that your organization is stable, compliant, and built for the long haul.
This means that design is your primary “trust signal,” your first chance to make an impression worth remembering. If your visuals are fragmented, you risk looking unpolished and signaling that you’re a risky investment.
In fact, the feeling of being “safe signing a contract” has remained the #1 decision driver for winning B2B business for three years running. Honing the look and consistency of your multichannel content pays off.
This crash course explores how to use strategic design to prove your brand is the safe, authoritative choice your prospects need.
Here’s what we’ll cover:
The Anchor: Establishing Organizational Maturity
In the Nexus content and design framework, we prioritize the Anchor Asset—a high-value piece of intellectual property, such as a flagship whitepaper, industry report, or technical deep-dive.
A high-end Anchor Asset provides the evidence that buyers need to build trust and see your brand as authoritative and dependable.
There are a few reasons why this tactic works:
Try this example. Imagine you sell volunteer management software. Instead of a generic sales flyer, you produce a “2026 National Volunteer Engagement Report.”
By featuring professional typography and clean, branded layouts, the report signals organizational maturity that a simple blog post cannot match. The report starts all kinds of conversations and creates opportunities to spread your thought leadership far and wide.
Consistency = Reliability
In the B2B world, consistency is a visual proxy for dependability.
According to the report cited above, “being dependable” is a top gap where brands fail to meet buyer expectations. When your marketing materials are fragmented, you are effectively taxing your prospect’s brain, forcing them to reconcile different visual identities while they are trying to evaluate your solution.
Winning brands in 2026 are finding an edge through buyability—making it easier for buyers to understand, trust, and purchase a solution. To understand why this matters, let’s look at two hypothetical scenarios:
The Frankenstein Brand (A Study in Risk)
Imagine a nonprofit Executive Director who just finished reading your authoritative, high-end “2026 Industry Trends” report (your Anchor Asset). They are impressed and forward the resource to their Board of Directors.
A week later, your sales team sends over a follow-up presentation deck. However, this deck was created as a one-off Random Act of Content. It uses a different font, a different color palette, and low-resolution stock photos that don’t match the sophisticated style of the original report.
This visual drift creates an immediate sense of unease. The prospect wonders: “If their marketing is this disorganized, what does their implementation process look like? Is my data safe with them?”.
You lose the #1 decision driver for winning B2B business: the feeling that it is safe to sign a contract with your brand.
The “Single Visual DNA” System (A Study in Trust)
Now, imagine that same prospect interacting with a brand that utilizes a cohesive Content System.
You take a specific chart from your Proprietary Data report. That exact chart—using the same stroke weights, data visualization colors, and iconography—is repurposed into a LinkedIn carousel post and a branded webinar title card.
When the prospect sees that same data-point across three different channels, your brand authority is reinforced. This consistency establishes your organization as a professional entity worth citing and following.
By making the buying journey easy through visual cohesion, you can shorten your sales cycle by 31% and see a 14% uplift in the average dollar value of the opportunity.
Visual Cues for the Buying Group
In the nonprofit sector, B2B deals are rarely closed in a vacuum. They’re decided by committees and diverse buying groups.
Strategic design acts as a silent advocate in those meetings, providing the visual proof your internal champion needs to move the group from initial awareness to an executed contract. The impact of getting this right can be significant:
This approach requires moving beyond generic PDFs and equipping your champion with a cohesive Sales Enablement Portfolio.
For example, imagine providing your contact with a slide deck specifically designed for a finance committee review. This deck would mirror the visual DNA of your high-value Anchor Asset, using consistent typography and clean iconography to signal organizational maturity. You might include a one-page Impact Summary that uses branded data visualizations to highlight projected ROI, such as a bold call-out box illustrating a 20% reduction in donor churn. A professionally designed Buyer’s Guide or Objection Guide can proactively address board-level concerns regarding implementation timelines and tech-stack compatibility.
When these materials look as stable and polished as the nonprofit’s own mission, you remove the friction that keeps deals from closing.
Data Visualization: Making ROI Irrefutable
In a market where buyers are increasingly risk-averse, simply promising impact is no longer enough.
You have to provide visual proof that your service adds financial value. Strategic design helps you transform complex financial arguments into irrefutable evidence.
Clean data visualization is the ultimate form of transparency. By moving beyond walls of text and using a consistent style, you satisfy the board’s need for evidence without forcing them to hunt for it.
How to use visualization to shorten your sales cycle:
By evidencing your expertise through professional data, you position your brand as a transparent partner rather than just another vendor.
Designing for trust is not a vanity project. It’s now a necessity for mission-driven brands selling in an increasingly risk-averse environment where trust remains the single biggest differentiator between winning and losing.
After all, brands that offer an “excellent” buying experience close deals 31% faster—saving up to four months of time compared to poor performers—and see a 14% uplift in individual contract value. Furthermore, because brands seen as active thought leaders are twice as likely to be highly trusted, your Anchor Asset serves as the most powerful safety signal in your sales arsenal.
Let us know how we can help — the Nexus team can build a custom content strategy for your brand that takes your trustworthiness to the next level. Learn more about our services or contact us to grab time to chat.
Our Graphics in Action: Nexus Marketing’s Multimedia Portfolio
/in Uncategorized/by Allison Reinhardt