SEO news roundup - August 2024

Deciphering SEO News: Antitrust, AI, & What They Mean for You

Summer 2024 has been one for the books in the SEO world. We’ve seen some wild industry developments that promise to bring more change to the SEO status quo than we’ve seen in a very long time.

If you keep track of SEO, tech, or digital marketing news, you’ve probably picked up on the buzz.

And you probably have a few questions, namely, “What does all this change mean for my brand and SEO strategy?”

In this SEO news update, we wanted to provide an overview of the biggest news stories of the past couple of months. We’ll cover the key developments, what they mean for you, and our overall take on the story that’s unfolding and the future of SEO strategies in the AI age.

Any questions as you read the guide? Reach out anytime—the Nexus team will be happy to help.

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The Google Antitrust Case

We recently posted an explainer on our LinkedIn page (give us a follow!), but here’s a quick summary of what you need to know about this landmark legal case:

  • On August 5th, 2024, a federal court ruled against Google in one of the first major antitrust cases in decades, with the judge stating that “Google is a monopolist, and it has acted as one to maintain its monopoly.”
  • The case hinged on Google’s exclusive agreements to appear as the default search engine on various web browsers, plus Google’s use of user data to reinforce its market dominance.
  • The most direct implications will likely be on Google’s Ad products. A separate trial specifically about ads will begin in September, 2024.

This article from Search Engine Journal provides a helpful explanation of the ruling from an SEO perspective.

So what will happen as a result of this ruling? It’s unclear, and we won’t know for a while. Many options are within the realm of possibility, and there are already some reports that the court might move to take any of these actions:

  • Break up Google Search, Android, and Chrome
  • Ban default browser-search engine agreements
  • Enforce data sharing between Google and other search engines
  • Split Google Ads into a more fully separate company (We’ll know more on this front following the September case.)

What It (Probably) Means for You

What are the potential SEO implications of this case?

Regardless of the specific legal outcomes, we’re likely to see increased diversity in traffic sources. You may not think often about Bing or DuckDuckGo today, but there’s a good chance you will in the future. Other search engines use ranking systems very similar to Google’s, so the SEO best practices will remain steady.

OpenAI’s newly announced search engine, SearchGPT, will also likely shake up the landscape in the coming years—more on this below.

Key takeaways:

  • An adaptive, user-centric (not just Google-centric) SEO strategy will be more essential than ever.
  • The best practices aren’t going any where, but now’s the time to confirm you’re actually following them to ensure your performance translates across search engines.
  • If your business relies heavily on pay-per-click strategies to generate leads, you need to stay tuned into the developments on that front.


AI Overviews & Algorithm Updates

In more Google news, we’ve seen many improvements and tweaks roll out in recent months.

Google’s AI Overviews have received some beneficial changes after a rocky rollout earlier in 2024. In terms of design and interface, here are the key updates:

UI updates to Google AI Overviews

AI Overviews now more prominently highlight their linked sources—this is huge news since the primary concern in the SEO world has been that the Overviews would obscure their sources and seriously dampen clickthrough rates.

Specifically, the updated AI Overviews include these features:

  • Prominent right-hand link panels that cite the sources
  • Citation links within the Overview indicated with link icons
  • Save buttons for users so that the Overview won’t change if they search the query again
  • Some limited rollout of in-text links, like normal anchor text (not pictured)

AI Overviews are also now being deployed outside of the US for the first time, and they will also display for users using incognito mode or who are not logged into Chrome.

What do these developments tell us?

  • Google seems to be already responding to its early competition in the AI-driven search space. As we’ll see below, SearchGPT’s prototype prominently highlights linked sources. The lack of prominent links (and the assumed suppression of clickthrough traffic) was by far the biggest SEO criticism of AI Overviews upon rollout.
  • AI Overviews are generally becoming more stable and reliable. Remember those wild stories about Google’s questionable AI advice at first? Now, one industry study found that 99.5% of AI Overviews cite content that already appears within the top 10 organic results for their queries.
    • This is a particularly positive sign. It reinforces the idea that robust, best practice-driven SEO will continue to deliver value in AI environments.

Something to be aware of: We’ve seen that for content linked in AI Overviews, some SEO rank-tracking tools report those pages as ranking in the first organic position. However, the link might be one of many within the Overview. In other SEO tools, rankings within AI Overviews are sometimes tracked inconsistently or incorrectly. We’ll see continued changes in the reporting and logistical impacts of AI Overviews, so keep an eye out.

Beyond the AI Overviews, we’ve seen a handful of other big developments from Google recently:

  • Automated SEO and performance recommendations within Google Search Console (currently limited rollout, but we’ll keep you posted!)
  • The August 2024 algorithm update currently mid-deployment is expected to smooth out many ranking issues and volatilities that sites have seen over the past year. The “Helpful Content Update” of September 2023, while beneficial for many sites, did seem to unfairly penalize some smaller publishers. This month’s update has been perceived as a fix to many of the issues it inadvertently caused.

What It Means for You

We have a few conclusions we can draw from these recent Google updates:

  • Google is actively refining its use of AI and improving how it links to source content in AI Overviews. Again, this was the main initial concern in the SEO sphere, so it’s welcome news.
  • We’re going to see continued activity from Google as it makes improvements and tests new features. Competition in the search space is ramping up for the first time in a long time.

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SearchGPT

Finally, the big news out of OpenAI earlier this summer: Its very own AI-infused search engine, SearchGPT.

We don’t know yet when it will be widely available, although the prototype is currently available to a small group of test users.

If you’ve seen headlines about SearchGPT and wondered how it will affect the SEO landscape, let’s first clear the air.

Does SearchGPT have the potential to dramatically change how we find information online? Yes.

Do you as a marketer or SEO stakeholder need to worry? No. SEO is not changing overnight. Your brand will still be visible online, just in new ways.

Should you up your SEO game (or partner with experts to handle it for you)? Yes, probably. 

There are still many uncertainties in the AI world. Economists have pointed to an “AI bubble” of investment funding that’s likely to burst (or at least shrink). New AI-based projects and developments will keep coming and going, and rapidly.

It’s just way too early to make any concrete predictions about what’s to come at the intersection of AI and SEO.

Here’s what we know about SearchGPT so far:

SearchGPT will work similarly to Google’s AI Overviews. Content identified as the highest quality and most relevant to a query will be used to generate an answer. You’ll be able to refine your search with suggested follow-up questions, although it is not a chat-style LLM like ChatGPT.

The SearchGPT interface very prominently displays links to the source content, seen in this example:

SearchGPT interface example 1

This example screenshot shows the generated answer for the query “What is AI.” On the right side is the AI-generated answer, including linked citations. On the left is a list of the source content, including domains, titles, publish dates, and meta descriptions.

SearchGPT will also proactively suggest follow-up questions and query refinements:

SearchGPT interface example 2

This response for the query “best email marketing software” includes a prompted follow-up question, “which ones are the cheapest?” The results show specific products with prices and citations.

(We pulled these examples from Go Fish Digital’s recent walkthrough of the platform—highly recommended if you want to learn more!)

One important note: You’ll notice that the source domains for these examples are all big-name players like BBC, Wikipedia, IBM, Forbes, and PCMag. Results are currently limited to a small set of domains that have opted into the prototype. It’s unclear when and how OpenAI plans to expand the pool of content it uses to generate results.

Key takeaways: 

  • SearchGPT just looks plain cool and easy to use. It’s a tidy, ad-free experience that brings together many of the things that have worked well in Google’s AI Overviews so far.
    • The cleanness of this interface is likely to be a big differentiator for SearchGPT (assuming it launches publicly in this form). Google, however, has already explicitly stated that ads will be incorporated into AI Overviews (assuming these plans aren’t shaken up by the company’s antitrust proceedings).
  • This new platform will also push the SEO industry forward and likely spur the evolution of technical and content best practices. But note the multiple assumptions mentioned above—it’s simply too early to concretely speculate about any specific impacts.

What It Means for You

Nothing, at least right now.

The one immediate conclusion we can draw is that competition is ramping up for Google if this product truly takes off.

In terms of your SEO strategy, SearchGPT is likely to work on a very similar system for analyzing and ranking content.

If you already perform well, we think you’ll likely do well on this more AI-forward search engine. If you make fundamental SEO improvements to your website and content, they should theoretically help you on any search engine.

Just keep in mind that we still don’t know exactly how SearchGPT will rank content and whether it will crawl the whole web or stay limited to smaller sets of domains. The answers to these questions will impact the specific technical best practices and steps you should follow to maximize visibility in its results. We’ll keep an eye on it and update you as we learn more.


SEO in an AI Environment: Our Take

First, what’s the throughline in all of these news items?

Competition and diversification are ramping up, and Google is now (we think) forced to make improvements to defend its dominant market position. AI is an integral component of all this change.

But if you’re worried that the dramatic infusion of AI into search engines will catastrophically disrupt SEO as we know it, think again.

We’ll walk through our thought process:

1. AI & search are old pals.

Did you know that Google Search has long included AI-powered systems that work to understand language by making connections between concepts?

The introduction of AI into SEO has been a long, slow process—not an overnight change, even though all the headlines have made it feel that way.

Google’s ability to parse language has become incredibly sophisticated over the years. Much of the “leaked” Google documents this year didn’t actually include any surprises on that front.

This means that SEO professionals already know how to adapt and drive results in an AI-infused environment. We just haven’t been explicitly talking about the evolution of search in terms of AI for very long.

Remember the study mentioned above? 99.5% of AI Overviews cite content that already appears within the top 10 organic results for their queries.

Users will always prefer human-centric content from trusted, high-quality websites. These will be the pages, sites, and brands that AI systems prefer to pay attention to.

In other words, users, search engines, and AI systems are all likely to define “good content” very similarly.

So even though it’s unclear exactly what technical processes will power SearchGPT, we think they won’t be radically different than those that power Google today. You’ll just need to stick to the fundamentals, learn, adapt, and grow like normal.

2. Technical practices change, fundamentals don’t.

Technical best practices have to evolve to keep up with changing technology. Surface-level content trends come and go, too.

However, the fundamental guiding principles of effective SEO do not change. What are they?

  1. Create helpful, authoritative content for other humans.
  2. Maintain the technical health of your site so that users and crawlers can access it.
  3. Build your website’s and brand’s reputation over time to prove trustworthiness.

As the space evolves, we’ll undoubtedly see new best practices and technical requirements for achieving these fundamentals (but this would happen even if AI were taken out of the equation).

Our recommendation? Work toward achieving the fundamentals and stay on top of developments in the industry without making drastic overnight strategy shifts.

3. But we can count on a few new priorities.

All that said, there are a couple of new strategic priorities that you should keep in mind as the SEO world changes.

These are the same big-picture takeaways we first identified back when AI Overviews were launched:

  • Pay attention to your site’s lower-funnel content. 
    • We can confidently assume that AI-infused search engines will reduce the clickthrough rates of top-funnel content. These are the broad, educational queries where AI is best poised to fully satisfy the user intent.
    • Full-funnel conversion journeys—rich collections of helpful content that guide users through the whole process of learning about your offerings—will perform best going forward.
    • What you should do: Double down on understanding user intent and implementing conversion rate optimization best practices.
  • Brand-building will become increasingly important.
    • All search engines (AI or old-fashioned) want to understand who you are, what you have to say, and whether you can be trusted.
    • The modern concept-mapping processes used by Google and AI systems rely heavily on associating authors and brands with content.
    • What you should do: Attribute your content to specific, real authors. Attend speaking engagements to get your brand out there. Share partner posts with other authoritative domains. There are tons of ways to build your brand.

If you’re already achieving the fundamentals of SEO listed above, you have what you need to succeed with these strategic priorities.

We can help with everything, too, including executing full-funnel content strategies, implementing CRO improvements, partner posting, and other brand-building activities.


Have questions about anything we’ve discussed in this guide? Curious to learn more? Let us know!

Please contact us to learn more about our full range of digital marketing, SEO, and lead generation services.

And if you’re a Nexus client or partner, please contact your Nexus points of contact—we’d love to chat.


 

Guide to cookieless tracking and consent mode in GA4

Cookieless Tracking, Google Analytics 4, and What It All Means for You

The ways that websites collect visitor data is changing fast. The biggest player in the space, Google, has been slowly implementing changes to catch up.

To stay compliant with evolving privacy regulations and to keep drawing reliable insights from your website’s performance (like the ROI of your SEO investments), you need to understand these changes. Specifically, you need to understand Consent Mode and its predictive modeling features in Google Analytics 4.

Here’s a quick guide to third-party cookie deprecation, “cookieless tracking,” and what they mean for your marketing analytics:


Quick disclaimer: We’re not tech or legal experts, we’re digital marketers.

This is our quick summary of changes in the digital privacy landscape and their implications on digital marketing. Please consult with a specialized professional if you have questions about your site’s compliance or backend consent management practices.

(But for questions about digital marketing, SEO, and tracking your lead generation results, we can definitely help.)


Update: July 2024

Since we originally published this guide, Google came out with a pretty huge announcement. The company has reversed course and will not phase out third-party cookies for users on its Chrome web browser.

Instead, Chrome will eventually ask users to choose privacy and cookie preferences that will apply across their entire browsing experiences. Search Engine Journal’s writeup provides a helpful summary.

What does this mean?

  • First, some of the information below that assumed Chrome would deprecate third-party cookies in 2025 is now inaccurate.
  • This policy change does not impact your pre-existing compliance requirements.
    • Your website likely doesn’t use unnecessary third-party cookies to collect user data without consent, but understand that this is still illegal under many laws.
    • As always, be mindful of the plugins and tools you install on your website and run regular security updates.
  • Remember, this change applies only to users who visit your website using Chrome. Most other leading browsers have already deprecated third-party cookies.
    • Since not all of your traffic comes from Chrome users, you’ll still need a working knowledge of the privacy and data modeling features of Google Analytics 4 to effectively interpret your web and SEO analytics.
    • Consent Mode in GA4 is still mandatory, and you likely already have it turned on (but you should still double-check).
  • This change will more heavily impact your online advertising strategies—stay tuned into developments in the space so that you can readjust your data collection strategies if needed.

Google always keeps us on our toes!

For the full story, including context about privacy regulations, Consent Mode, and how to turn it on, please keep reading, and let us know if you have any questions!


Quick Context

Here’s the background:

  • Laws like the GDPR and state-level regulations in the United States require websites to ask for user consent before using any cookies not deemed “necessary.”
  • It’s not often possible to ask for consent to use third-party cookies, so these are effectively banned (or at least made very difficult to use) under many of these laws.
  • Google (whose Chrome browser dominates the market) has been relatively slow to adapt but will finally deprecate third-party cookies sometime in 2025.
  • Consent Mode is now mandatory for all websites that use Google Analytics and/or Google Ads, but you’re likely already in compliance—see our breakdown and instructions below.

Let’s say you understand the laws and your website actively asks for consent to use cookies. Everything seems to be running fine.

So what’s the issue?

There are two key areas where your brand could take a hit as a result of changing cookie practices: first-party data collection and advertising.

Google Analytics uses first-party cookies to track engagement data of visitors on your website. These cookies are not considered “necessary” and thus require consent.

When users decline or ignore consent requests, this results in gaps in your data—potentially huge blank spaces in your digital marketing analytics.

You’ve likely already seen some of these effects as consent collection becomes the norm and as Google Analytics 4 has rolled out new compliance features and tools.

Without reliable data about how users are finding, engaging with, and leaving your website, your marketing strategy will suffer. Understanding user journeys and conversions is critical for improving over time, and this data is essential for measuring the ROI of your marketing strategies like SEO campaigns.

This is why this issue is top of mind for us here at Nexus Marketing. As the web evolves, we want our clients and partners to help lead the charge.

For brands that rely heavily on online advertising, particularly retargeting campaigns, the deprecation of third-party cookies on Google’s Chrome will be a major change.

As they currently work, these campaigns will be practically impossible without third-party cookies.

Many brands are still running late. An Adform survey found that:

  • 65% percent of U.S. respondents reported already seeing a negative impact on their online advertising efforts as a result of third-party cookies being blocked on many browsers.
  • Nearly 40% are not fully aware of the solutions available to navigate this change.
  • 36% don’t have a clear idea of how third-party cookie deprecation will impact their marketing strategies.

 

Why It Matters

Cookie deprecation is already underway, and it’ll continue to be a major discussion in the coming months as Google moves ahead with its planned changes. You need a strategy for shifting your advertising and first-party data collection methods now.

Thankfully, Google appears to be on top of it. For advertising, Google has been developing new alternatives to third-party cookies. For data collection, GA4 has introduced new features that help fill data gaps.

As SEO marketers, our main focus is on first-party data collection.

We’ll take a closer look at GA4’s solution, behavioral modeling in Consent Mode, below—jump ahead to check it out.

And if you’ve already implemented Consent Mode, we’ll also discuss warning signs to look for that may indicate data isn’t flowing correctly.


Digital Privacy Regulations & Cookies

Here’s extra context that you may find helpful:

Since the adoption of the GDPR and ePrivacy Directive in the EU, third-party cookies have been effectively banned for use on site visits from European visitors. Similar laws from the U.S. and around the world have since been enacted, too.

Even though not all of a site’s users will come from these jurisdictions, the laws are widespread enough today that it’s essentially easier to treat them as universal than it is to spend time and resources completely fine-tuning the site’s backend for different visitors.

This is why sites today expressly ask for user consent to use cookies. (Learn more about cookies here.)

Many of the big web players adapted fairly quickly. Web browsers like Safari and Firefox made fast changes to comply with the new norm. Apple has made frequent updates to the privacy features of iOS to stay in compliance, as well.

The effect has been that it’s now difficult for websites to track user behaviors on these browsers and systems for the purpose of retargeting them with ads.

Google implemented a solution in GA4 for mitigating the impacts of cookie consent, Consent Mode, back in 2020.

Since 2020, Google has also announced and postponed third-party cookie deprecation several times. The delays now appear to be coming to an end, with the current deadline sometime in 2025.

Why the delays? Google generates a lot of its revenue from advertising tools and services.

Third-party cookie deprecation directly limits their ability to operate, so Google has been working to develop alternative systems that will protect these revenue streams through its ambitious Privacy Sandbox initiative. With the 2025 phaseout period fast approaching, it seems like Google might finally be ready.

  • First-party cookies are set by the site currently being visited. They operate for single sessions and then deactivate when a user leaves that website.
  • Third-party cookies are set by a visited website or embedded element that a user encounters but persist as the user visits other websites, tracking their behavior across the web.

Both types of cookies can serve a variety of purposes. For example, cookies are useful for remembering a user’s preferences. A first-party cookie will log this preference data in discrete events rather than as a longer flow of behaviors across multiple sites, as would a third-party cookie.

The biggest use case of third-party cookies by far is to glean insights from a user’s behavior across the web in order to target them with advertising and tailored content later.

Websites use Consent Management Platforms to ask for user consent, track consent collection, and implement the appropriate (or no) cookies as needed. This tool is essential for relaying users’ consent to Google Analytics.

No, they’re not. But collecting user data without consent is illegal under the regulations discussed above.

In effect, then, most third-party cookies have been made useless (at least for websites that care about compliance).

Remember, too, that the regulatory landscape is constantly changing.

New, complex legislation spurs changes to the web browsers and systems that the whole world uses every day. These big changes filter down into the smaller tools that websites use to measure their traffic and engagement. As the landscape evolves, we can always expect to encounter broken code, malfunctioning website plugins, and more.

This is one of our key takeaways:

Stay aware and be intentional about what you install on your website and whether it’s working properly.

 

Here we should note that the term “cookieless tracking” is a bit of a misnomer.

Third-party cookies are being phased out on Google Chrome in 2025. Older methods of tracking web analytics relied on them heavily, so the scope of this change in recent years has been quite significant.

First-party cookies aren’t going anywhere. They’ll still be essential for understanding how users engage with your website, but the constantly changing privacy landscape and platform updates mean that they’ll be used in new and increasingly constrained ways.

In fact, these regulatory changes and the third-party cookie phase-out are what spurred the creation of the newest version of Google’s web analytics platform.

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Privacy and Google Analytics 4

The shift from Universal Analytics (UA, the legacy version of the platform) to Google Analytics 4 (the newest version) is now complete. As of July 2024, all historical data stored in Universal Analytics properties is now unavailable.

GA4 is a robust platform. This upgrade from UA to GA4 introduced many up-to-date consent compliance features.

What’s the key difference between UA and GA4?

The core difference between these platforms is how their data models group incoming engagement data.

  • Universal Analytics used a session-based model that grouped all user actions under discrete visit sessions, and it relied heavily on cookies.
  • Google Analytics 4 uses an event-based model, more closely tracking each user interaction as separate events. It’s a more user-centric and less cookie-dependent system.

We won’t get too in the weeds, but the key takeaway is that GA4 allows for a much more granular and customizable understanding of how visitors are engaging with your website.

(If you’re curious, this article details the technical differences between the platforms in greater detail.)

Privacy features are integral to GA4.

The event-based structure of GA4 allows it to collect first-party data more seamlessly and in new ways that reduce privacy concerns.

It’s possible to collect user engagement data on GA4 without using third-party cookies or collecting IP addresses. This is done through first-party cookies. When users decline consent requests, these data gaps are filled using GA4’s Consent Mode.


What is Consent Mode?

Consent Mode is a feature that you can enable in your GA4 properties that ensures your tracking mechanisms properly adapt to user preferences. Google describes it as a tool that allows websites to collect data on website conversions while fully respecting users’ consent settings.

When Consent Mode is enabled, you’re then able to turn on a “behavioral modeling” feature that works to fill in the blanks in your analytics data through machine learning.

In a nutshell, here’s how it works:

consent-mode-steps(Source: Cookieinformation.com)

  1. A user provides or rejects cookie consent when they arrive on your site.
  2. Consent Mode communicates the user’s choice to the data collection mechanism installed in the site.
  3. Data is collected and transmitted to GA4 according to the user’s choice. Session start data gathered via first-party cookies from users who rejected consent is completely anonymized and/or highly limited in other ways.
  4. The Consent Mode tool then uses AI-powered predictive modeling to fill in the gaps for users who rejected consent.

This process is driven by machine learning. Although it’s still a relatively new technology and will keep evolving, it’s extremely helpful and gives us something much closer to the full data picture.

Learn more about Consent Mode with this list of FAQs.

Is Consent Mode mandatory?

Yes. As of March 2024, Consent Mode is now mandatory for all websites that use Google Analytics and/or Google Ads.

Note: Your website most likely already uses a consent management platform (CMP) to run its cookie banners and manage consent settings. If your CMP is Google-certified (most leading providers are), you’re all set. You should already have Consent Mode enabled in your GA4 properties.

If you do not use a CMP and instead have custom-coded consent banners and settings, you must manually enable Consent Mode. We’ll discuss how below.

Without Consent Mode, you risk noncompliance with key European and other regulations. Not enabling Consent Mode will also make collecting data for users in many jurisdictions around the world and/or who reject cookie consent essentially impossible. The data that you would collect would be incomplete and give you a warped view of events, engagement, and conversions on your website.

But by enabling Consent Mode, you’ll stay compliant and be able to use helpful GA4 features that fill in gaps in your analytics.


How to Implement Consent Mode and Behavioral Modeling

Let’s dive into the details about exactly how to ensure these features are enabled in your GA4 properties. First, some important clarification:

  • Consent Mode ensures your website respects users’ privacy choices.
  • Consent Mode also allows you to collect enough aggregated, anonymized session data so that Google can predict and model conversions from unattributed sources, called Conversion Modeling.
  • GA4’s Behavioral Modeling feature works to fill in the rest of the gaps in your web analytics, but there are eligibility requirements your site must meet first.

We’ll take a look at each of these elements below.

Enabling Consent Mode

There are two ways Consent Mode can be enabled on your website depending on how you currently manage user consent preferences.

  1. If you use a Google-certified Consent Management Platform (CMP) to run your cookie consent banners, you should be able to easily turn on Consent Mode within your CMP’s features and options. This will handle the whole technical process of updating the GA4 tags that are triggered by site visits. Now that Consent Mode is mandatory, this setting is most likely already selected in your CMP, but double-check if you’re unsure.
  2. If you use a custom or hard-coded cookie consent banner, you’ll need to make these changes manually.

If you take the manual route, here’s what you’ll need to know:

First, you need to establish a default consent state for when users first arrive on your website. The default should be consent denial. Within your site’s code, add a script that establishes these defaults before the main Google Tag Manager script begins.

Defining default consent settings

Next, update your hard-coded cookie consent banner to communicate user choices (and effectively override the default settings) by adding a new script:

Update consent banner to override default consent settings

From here, navigate to your Google Tag Manager. You’ll need to enable “Consent Overview” to ensure that GA4 picks up on the changes you’ve made manually and so that you can further customize the consent settings for tags if needed.

Enable consent overview within Google Tag Manager

Here’s Google’s technical guide to implementing these coded changes. This video overview also explains the steps in greater detail if you’re curious:

Remember: In most cases, websites already use Google-certified Consent Management Platforms and will not need to handle these steps manually. Double-check what tool your website uses if you’re unsure.

If you do already use a CMP, explore its settings or reach out to its support team to confirm that Consent Mode has been activated for your properties.

Understanding Conversion Modeling

When Consent Mode is activated and running smoothly, your GA4 instance should be able to automatically model conversion data to help fill in data gaps.

Why is this necessary?

If a user declines consent but ultimately converts on your website (defined in GA4 as triggering a “Key Event”), their initial source will be reported only as “Direct.” They’ll be added to a bucket of unattributed conversions. This isn’t terribly helpful for understanding your website’s marketing performance.

Conversion modeling brings back attribution by mixing machine learning and observable data (either consented or highly limited, anonymized session start data). This diagram explains the value of Conversion Modeling:

Conversion modeling example

In this example, 20 users out of 100 converted. Without conversion modeling, the 10 of those users who declined consent are reported in GA4 as coming from a Direct source. Conversion modeling uses a mix of data to resort those users’ sources more accurately.

For marketers, conversion modeling is arguably the most important of GA4’s new AI- and privacy-related features to understand.

Conversion modeling should also occur in your GA4 properties automatically once Consent Mode is enabled. You don’t need to manually enable it.

However, know that you’ll gain the most useful insights from this feature if your website if your website generates enough conversions to provide Google with enough data to make predictions:

At least 300 conversions per month across the entire website (and for Google ads, 700 ad clicks over 7 days for a domain per country) is a rough rule-of-thumb to ensure full functionality and helpfulness.

Here’s a helpful guide to conversion modeling if you want to learn more.

Behavioral Modeling in Consent Mode

For many websites, GA4 offers an additional feature that fills in gaps in your analytics: behavioral modeling.

This feature pulls from observable data and predictive, AI-driven insights to help you estimate the exact events and interactions that occur across your website.

It’s important to note first that not all websites can use behavioral modeling through Consent Mode. Google lays out these eligibility requirements:

Behavioral modeling eligibility requirements

  1. Consent Mode is enabled. Again, if you use a CMP, this should already be done.
  2. Consent Mode is implemented so that default consent settings and other tag settings load before the Google tags themselves are triggered. See our explanation of where to code this script and the video overview above to learn more. This step ensures that you won’t begin collecting data until consent is secured.
  3. The website collects at least 1,000 unconsented events per day for at least 7 days. Note that “events” in GA4 can mean many things, but this does require you to receive at least 1,000 visits a week.
  4. The website also has at least 1,000 daily users triggered consented events for at least 7 out of the previous 28 days.

Why does Google set these requirements? For the behavioral modeling system to work correctly, it needs enough data to learn from. Without enough input data from both consented and unconsented users, the system is unable to make meaningful predictions.

If your website meets these requirements, great! We’ll explain below how to ensure behavioral modeling is enabled in your GA4 properties.

If your website does not meet these requirements, don’t worry. Of everything discussed in this guide, Consent Mode and conversion modeling are the most important for 1) ensuring compliance and 2) learning about your big-picture marketing performance. Behavioral modeling provides a more granular look at specific interactions on your website, but unless you have highly robust digital marketing practices, you likely won’t be missing much or any data that you would have previously used.

Remember that conversions are what create ROI for your marketing efforts, not smaller events. 

Enabling Behavioral Modeling

Here’s a quick explanation of the implementation process for behavioral modeling:

Implementing behavioral modeling in GA4

Items to note in this explainer:

  • Default consent tag behaviors must be configured. (See above for our explanation of what this means and how to do it.)
  • Your website must actively adapt to user preferences and override the default consent setting if needed. (See above for our explanation.)
  • Your Google tags must be operational and not blocked, even for unconsented users. When Consent Mode is configured correctly, users who do not consent will still trigger cookieless pings (highly limited and/or anonymized session start data). The behavioral modeling system needs this information in order to work properly.
  • “Blended Reporting Identity” must be selected within your GA4 property’s settings.

That’s it—turning on behavioral modeling is a simple process with only one manual step for most websites. Here’s where to turn on the correct reporting option for that last step:

Blended reporting identity in GA4

Setting your property’s reporting identity to “blended” tells Google to activate the behavioral modeling system and begin incorporated predicted data into your analytics reports.

Want a closer look at how GA4’s modeling systems work and how to enable behavioral modeling? Here’s an overview from Google:


Next Steps

  • Double-check that Consent Mode has been enabled in your GA4 properties.
    • If you use a consent management platform, this should have already happened.
    • If you use a custom consent solution, you may need to do this manually.
  • Enable behavioral modeling for your GA4 properties if eligible.
    • Do this by choosing “blended” reporting identity in your property’s settings.
  • Be intentional about the plugins and tools you install on your website.
    • Stay aware of whether they’re working properly. With the internet privacy landscape changing so rapidly, broken functionalities and potential compliance lapses can happen.
  • Think about how you can collect more consented, first-party data.
    • How intentionally have you phrased your cookie consent banner?
    • How can you better build relationships with customers so that they’ll be willing to provide consent and/or create accounts on your website and become repeat visitors?
    • Building trust and a reputable brand is increasingly important, and it ties together a lot of what we’re seeing in the SEO world, too.

For Nexus Marketing clients, contact your Account Manager if you have any questions about this guide, your GA4 properties, and whether Consent Mode is activated for them. We can help you check and determine the appropriate next steps.

If You’ve Already Implemented Consent Mode

We mentioned above that broken functionalities are to be expected in the coming months and years. Some websites are already seeing issues with traffic attribution as Google fine-tunes its approach to privacy regulation adherence.

Depending on the mix of tools installed on your site and your GA4 settings, your data reporting not be working properly.

How can you tell? Here are a few signs that something isn’t working:

  • Sharp changes in one or more traffic channels
  • Mismatched trends between GA4 and your site’s click performance in Search Console
  • Unexpected increases in Unassigned or Direct traffic to your website
  • Disappearing web traffic for all or part of your site, or dramatic unexplained drops in traffic

Now may be the right time to quickly double-check your GA4 properties to look for any strange patterns or traffic drops.

Once they’re identified, the process of troubleshooting and correcting them shouldn’t be too difficult.

Nexus clients: Please contact your Account Manager if you encounter any of these issues or want help double-checking your GA4 properties.


This is a rich (and complicated) topic that won’t be going away anytime soon, so we encourage you to keep learning about third-party cookie deprecation, cookieless tracking, and GA4. Here are a few resources that we’ve found helpful:

SEO news: 2024 Google leak

Deciphering SEO News: The Infamous 2024 Google Leak

The dust has settled after another big news story in the SEO world: a purported leak of internal Google data about how its ranking algorithm works.

If you’re plugged into the SEO sphere, you likely caught wind of the drama. But if it’s news to you, you’re not alone. Either way, you likely have some questions.

Now that we have more context about the leak, the Nexus Marketing team wanted to offer a quick overview and our take on its implications for your organization’s SEO.

Signup for the Nexus newsletter here for more breaking SEO news in your inbox.


What happened?

On May 5th, 2024, SEO thought leader Rand Fishkin received news of leaked Google API documentation from a source claiming that it came from Google’s secretive Search Division. On May 27th, Fishkin published a full write-up:

Rand Fishkin: An Anonymous Source Shared Thousands of Leaked Google Search API Documents with Me; Everyone in SEO Should See Them

It immediately became the biggest topic in the SEO world in years—the buzz eclipsed even the very recent rollout of AI Overviews.

Since then, the leaked information has been a major point of controversy. We’ll dig into why it’s controversial among SEO professionals, but first, let’s clarify:

Was this a leak of the actual Google ranking algorithm?

No. At this point, it’s been pretty much disproven.

  • The leak consisted of internal Google API documentation. (API stands for application programming interface—code shared between separate platforms—normal stuff in the tech world for companies to build cross-functionalities between their own or external tools.)
  • While the original source claimed that the leaked documentation came from Google’s Search Division, this has not been verified. In fact, this does not appear to be true.
  • This information is actually related to a completely separate Google product, Document AI Warehouse, a public Google Cloud platform for analyzing and storing data.
  • However, it’s still fair to consider the leaked information potentially ranking-related. It details a wide range of rules and protocols that this particular Google product potentially uses to analyze and interpret data. It’s not unreasonable to assume that some or many of its features might also exist in the core Google Search ranking algorithm—but there are caveats.

Here’s how SEO expert, Eli Schwartz, put it in a recent newsletter:

“Google has said this information is out of context, which is an accurate way to describe it. At best, it’s a comprehensive list of definitions that Google could track in its ranking algorithms, but we have no indication that these elements are used, if they are, and how they are used.”


What information did the Google leak include?

So, what exactly did the leaked Google API documentation include?

It includes detailed lists of over 14,000 named protocols that Google’s Document AI Warehouse potentially uses to understand and sort information.

Some of the specific protocols that caught people’s attention include:

A potential representation of a site’s topical authority, or how closely it sticks to its relevant subject matter

A potential measure of how closely a given page aligns with the site’s core topics

A potential estimate of the relative effort that went into content creation on a page, related to Google’s PageQuality measures

A “link value multiplier” that appears to weigh the value of links from newer pages over links built on older pages

Protocols that appear to tell Google to interpret the surrounding context of a link’s anchor text, meaning anchor text like “click here” can still be understood

A system of protocols that likely reranks results based on their click metrics (as an approximation of content quality, user satisfaction, etc.)

 

Based on this information, many SEO professionals quickly assumed that these or similar factors are used in the Google Search algorithms to understand and rank content out in the wild. The thinking is that if Google has supposedly built these systems and features, they’re likely deployed elsewhere.

Note how often we use “potential” in these descriptions—remember that we don’t know for sure whether these factors are actually included in Google Search algorithms.

Want to go deeper? This SearchEngineLand article explains more of the specific protocols included in the leak. However, keep in mind that this article was published before we learned more about the actual provenance of the data—take its analyses of the leak’s SEO implications with a grain of salt.

Want an even deeper dive? (Not highly recommended, but it’s definitely interesting!) Here’s a comprehensive table of all the protocols found in the leaked documentation:

Complete table of purported ranking signals


How did the SEO world react and why?

The news of the Google leak created waves immediately. First reactions ran the gamut from measured skepticism to frenzied anger to jaded dismissal.

Now that a few weeks have passed and we’ve learned more about the leaks, the buzz has calmed significantly.

But why the dramatic range of initial reactions?

First, some context. Whenever we get news of big Google shake-ups, algorithm changes, and hints about how the ranking algorithm works, a similar swarm of reactions occurs.

The SEO space is as diverse as the internet itself. When websites use released information to make assumptions about updated SEO best practices, not all of them will reap benefits. Some may actually see decreased SEO performance. No two sites will experience an algorithm update the same way or see the same impacts from making similar changes to their content.

This, understandably, can create frustration and blame-casting.

Some SEO professionals then assume that Google intentionally misleads them. Seemingly contradictory statements or mixed results from implementing assumption-based changes fuel the fire.

When the leaks landed, they were largely misinterpreted.

Many immediately thought the leaked information came directly from the core Search ranking algorithms. Many of the signals and features included in the leak do seem to contradict past statements from Google about how Search works. Confirmation bias set in, and we saw some angry and jaded reactions.

But fast forward just a few days.

A clearer picture of the leak emerged. Here’s how Search Engine Journal article put it in late May, 2024:

“Many SEOs [have come] to the conclusion that the alleged Google data leak was not a leak, did not contain ranking algorithm secrets, was five years out of date, and did not show anything new. While that’s not how everyone feels about it, SEOs in general don’t tend to agree about anything.”

The leak is complicated. And while some in the space distrust Google’s statements, jumping to black-and-white conclusions one way or the other is never the best move.

Why Does it Matter?

All this context might be confusing. We get it, so why are we sharing it?

We want to arm our clients and partners (and everyone else) with knowledge and a healthy dose of skepticism.

If you work in marketing and encounter SEO news and trends, you need to understand why we see a range of dramatic reactions to industry developments as they break. These reactions tend to die down after a few days, and then the real takeaways emerge after that (and we’ll tell you about them).

To be fair, Google does very carefully word its releases and public discussions of algorithm details. Why?

If Google were to fully publicize its algorithmic ranking factors or even discuss a single new one in great depth, it could wreak havoc on the search results. Here’s a hypothetical:

  1. Let’s say Google very clearly announces one day that page views from its Chrome browser are a ranking signal (which was implied in the leak—but remember all the caveats).
  2. A marketplace springs up overnight to sell shady bot traffic for websites to boost their Chrome page views.
  3. Chaos breaks out on the SERPs, and spammy bot-supported websites start climbing the rankings.
  4. More websites, SEOs, and users complain about Google becoming overrun with spammy content.
  5. Google scrambles to make changes while the user experience and rankings for high-quality sites suffer.

A little dramatic, maybe, but that’s the general idea why Google is so secretive about the exact makeup of its ranking algorithms.

 


What does it mean for your website?

Honestly, not much.

If you follow tried-and-true best practices, create quality content for your users, build links to it, and maintain your website’s health, you’re already ahead!

But even if the leaked information did come directly from the Search algorithm, it wouldn’t have taught us much that we didn’t already know or couldn’t piece together.

If you pay attention to Google’s big-picture changes (like their Helpful Content Update, spam crackdown, and the rollout of AI Overviews), you can already infer that more deeply understanding the context and quality of content has been a big priority. It makes sense that Google would want to be capable of piecing together the full context of the language surrounding a link, for instance.

But if you’re already creating excellent, user-centric, well-organized content, this shouldn’t even be a concern.

Here’s our take:

When SEO professionals take leaks, rumors, clickbait strategies, and Google’s hints too literally, it’s no surprise when they see mixed results.

There’s a commonly held misconception that there’s some kind of exact formula for SEO success. This is not true.

Google’s ranking system is extremely complex, with thousands and thousands of ranking factors constantly in flux.

It’s not a checklist or recipe of exact measurements to get just right. And you definitely don’t succeed at SEO by taking dramatic swings at big strategy changes based on assumptions and expecting all-or-nothing results.

SEO success comes from building up your website’s quality, helping your users, and creating a respected brand. You’ll satisfy algorithm signals along the way, and Google will learn to recognize you for your hard work.

To sum it all up, we love this quote from SEO thought leader, Eli Schwartz:

“The user pays your bills, not the search engines.”

Learn from a balanced mix of sources—Google’s statements, firsthand trial and error, experts in the field, and your audiences’ needs.

This is exactly how we approach SEO at Nexus Marketing, and it’s served our clients well for a decade now. Want to learn more? We’d love to hear from you.

 


 

Have any questions or want to learn more about our approach to SEO?

Contact us or reach out directly to your Nexus points of contact at any time!

The End of Universal Analytics

End of Universal Analytics: Next Steps

Starting July 1, 2024, Google will officially sunset its platform Universal Analytics (UA). Unlike last year’s change, which ended data collection in UA properties, data will also no longer be available to view moving forward. This significant change marks the end of an era for one of the most widely used web analytics platforms.

Sunset of Universal Analytics

While many users transitioned to Google Analytics 4 (GA4) the summer of 2023, UA properties were still available to access and reference historical data collection.

With the platform officially going away on July 1. UA properties and the API, along with all its data, will be deleted and inaccessible for users. Google has announced that this shutdown will happen within a week of its start date.

What Does This Mean?

Backing up Universal Analytics data is crucial because, with the platform’s sunset, businesses will lose access to historical data that is useful for long-term analysis and decision-making. Any data that was collected in the property will be deleted and not recoverable. 

This data includes valuable insights into user behavior, traffic patterns, conversions, and overall marketing effectiveness that are essential for benchmarking and strategic planning.

In addition, any tools and platforms integrated and dependent on Universal Analytics API, such as Looker Studio, will also fail to display or retain data once the properties are deleted.

If you haven’t yet, exporting and securely storing this information is highly recommended. This will enable you to make seamless comparisons over time and maintain a comprehensive understanding of past performance versus the performance in GA4 today.

For Nexus clients where we’ve historically reported out of UA, we’ve already exported and archived key metrics relevant to our SEO engagement, but there’s likely other data you will want to save. For more information, read on.

Retaining Historical Data

To ensure a smooth transition and retain access to essential data, users should back up historical data using one of the following methods outlined in Google Analytics Help Center.

The following methods include:

  • Export individual reports: You can export individual reports into a CSV, TSV, TSV for Excel, Excel (XLSX), Google Sheets, or PDF. The file will be generated automatically and available in your computer download directory.
  • Use Google Analytics Reporting API: You can use this tool to export data to Cloud storage and connect to Looker Studio.
  • Install Google Sheets Add-On for Analytics: Once the feature is installed, you can archive UA data by creating the dataset in the interface and exporting it to Sheets or CSV from there. This is the approach we’ve taken to archive organic sessions and goal completions.
  • Export using BigQuery: Users with a Google Analytics 360 account can export data using BigQuery. Google provides steps to help you set up and start this process. Note that this method is not available to non-360 properties.

Nexus Marketing Clients

In order to keep understanding the growth of your brand’s organic channel over time, we’re exporting a handful of the most important dimensions and metrics to understand SEO success. This activity will support your business’s organic insights, but the data our team exports will not represent the full picture of your marketing data.

The export will include:

  • Organic sessions by landing page*
  • Organic goal completions by landing pages* **

*Data will be exported as far back as data is available, starting as early as 2013 and ending with the end of UA on June 30, 2023. 

** If your property has multiple goals set up, we’re archiving only the most valuable goals that we have historically reported on as part of our engagement.

In order to export and save this data, we’re using the Google Analytics API to run a report and retrieve GA UA data based on the metrics and dimensions mentioned above.

The Google Analytics API add-on is integrated with Google Sheets, which allows us to export and store all the metrics in one spreadsheet. The report is then created by running the add-on using the account with access to the Google Analytics property.

When the report is finished, the report details will generate a sheet called “Report Configuration”. The created reports are then run with the same add-on, and new tabs are populated with organic sessions and organic goal completions data. These datasets are then represented as a chart and table.

For questions or more information, please contact your Account Manager.

 

 

The sunsetting of Universal Analytics marks a pivotal moment in the evolution of web analytics. While the transition to Google Analytics 4 is a learning curve, it also offers opportunities for more advanced data analysis and compliance with modern privacy standards.

By proactively preparing for these upcoming changes, businesses can continue to leverage valuable insights from their data.

 


 

Have any questions or want to learn more about how we’re adapting to the latest search landscape?

Contact us or reach out directly to your Nexus points of contact at any time.


Sources and Additional Resources

 

Google AI Overviews - Explainer and SEO impact

Google AI Overviews: What You Need to Know

The big day’s finally here—Google recently announced that AI overviews (previously known as Search Generative Experiences or SGEs) will be broadly rolled out to the public after months of testing with small audience segments.

The SEO world has been buzzing and speculating about the impact of Google’s new AI features for a while now. There’s been a lot of excitement but just as much fear and anxiety. What do these changes mean for organic SEO? Will domains that currently rank highly see increased or decreased engagement? Will Google cite the sources that it uses in AI answers?

We put together this quick guide to help you understand what these AI results are and how they may impact SEO going forward:


What are AI Overview Results?

If you haven’t yet seen one of these AI results, here’s a quick overview:

AI overviews SERP diagram

In this SERP for the query “B2B marketing best practices,” Google serves an AI overview at the top of the page. Under it, we see the normal paid and organic search results.

Click the “Show more” button, and Google expands the AI overview to show the full AI-generated response, including suggested subtopics, the full list of marketing best practices, and citations of the pages used to generate this information (plus links to them).

What kinds of search terms do AI Overviews appear for?

Google has explicitly stated that “AI Overviews appear in Google Search results when our systems determine… you want to quickly understand information from a range of sources, including information from across the web and Google’s Knowledge Graph.”

In other words, AI Overviews will appear most frequently for educational and task-based top-funnel queries. Google wants to provide quick answers, suggestions, and sources, essentially guiding users through the first stages of their search or purchase journeys. Here’s an example for the query, “How do you clean a fabric sofa”:

AI Overviews - mobile example

Google also appears to be taking a careful approach to rolling out these changes so far. As of May 2024:

AI Overview prevalence

  • Only 14% of queries return AI results automatically
  • 28% of queries return AI Overviews when manually prompted (forced)
  • 58% of Google queries have no AI results enabled (up from 9% in February)

We’ll definitely see these numbers evolve over time as the system is refined and improved, but remember that AI Overviews are not a drastic overnight change.

More context to keep in mind:

AI Overviews will impact paid Google Ads just like organic results. Ads are a massive revenue source for Google, so we can definitely expect more changes to the AI Overview system in the future for this reason alone—nothing’s set in stone!

Looking for more SEO and marketing tips? Signup for the Nexus email newsletter here for expert tips in your inbox.

Why AI Overviews are exciting

The Google Search experience is rapidly evolving to keep up with changing technology and user habits and preferences—it’s just plain cool.

We also expect AI Overviews to spur a lot of beneficial experimentation and improvement in how web content is created. At Nexus, this has been a huge topic of discussion since the rapid rise of ChatGPT, and we’ve been actively evolving, experimenting, and improving our content practices for a long time now. It’s an exciting time! (Skip ahead to learn more about the strategies on our mind these days.)

For your website, AI Overviews may create opportunities to gain increased visibility and clicks if pages don’t yet rank highly in organic results. This is because the AI-generated content does not necessarily draw from the top-ranking organic content (although it often does).

AI Overviews also appear to favor trusted domains that discuss topics related to the query (just like the normal organic ranking process). This means your excellent website full of optimized content should stay highly visible in this new format.

Why some are worried

AI Overviews represent a huge change for Google, so many in the field are worried about the impacts it will have on their SEO. It all boils down to the fact that for many types of queries, the AI experience shifts the focus partly away from organic results.

This anxiety is nothing new, though. Every new algorithm change and interface update that Google rolls out has been received with dramatic cries of “SEO is dead!” for decades now—usually amplified by panicked websites that use spammy strategies to game the system at scale. This is why Google’s anti-spam updates in March 2024 were met with such drama.

SEO is definitely changing (and has been steadily for years), but as long as people use search engines to find the information, products, and services they need, SEO will still be a crucial tool for reaching them.

The biggest lesson we’ve learned from years of Google algorithm changes and policy updates: Pay attention, learn, and adapt, and you’ll be fine.

Let’s take a closer look at specific SEO impacts that many are expecting as a result of AI Overviews:


Potential SEO Impacts of AI Overviews

The major potential SEO impacts of Google’s AI Overviews can be summed up like this:

  1. AI Overviews disrupt the normal pattern of ads and organic results appearing at the top of results pages, potentially decreasing visibility.
  2. This decreased visibility may lead to reduced clickthrough rates (CTR) for pages that previously appeared at the top of results pages.
  3. Decreased CTRs may translate to lower traffic, meaning fewer users and leads engaging with the content.

In tactical terms, here’s what we’ve also learned so far:

  • Google claims that “the links included in AI Overviews get more clicks than if the page had appeared as a traditional web listing for that query.”
    • This claim has been widely disputed by SEO professionals, but we’re still in very early days.
    • It’s important to remember that the actual CTR impacts are incredibly specific to the query and the user’s intent. We’ve seen similar concerns around Google’s Featured Snippet features (functionally a precursor to AI Overviews): In some cases, they dramatically decrease CTRs of lower-ranked content, and in others the effect is minimal. It all depends on the full context of the search.
  • Google will provide impression and click data for pages cited in AI Overviews in Search Console reports.
    • However, it will lumped together with the rest of the organic engagement data, not tracked separately.
    • We can likely expect more developments on this front in the coming months, and SEO reporting practices will evolve to keep up.

Does it matter? Big-picture analysis of the SEO impacts of AI Overviews

Will AI Overviews decrease clickthrough rates?

Yes, CTRs for content appearing for educational, top-funnel search terms will likely generally decrease, leading to less overall traffic to those pages.

Does this matter?

For most websites, not really. (Unless the primary purpose of your website is to generate ad revenue—which is why spammy websites get so upset about algorithm changes.)

Raw traffic is not a particularly valuable SEO performance metric for most brands’ websites. Even less so when it arrives through top-funnel content.

Why?

The goal of a brand’s website is to generate qualified leads. Broad search terms that generate a lot of traffic aren’t good at this. They instead build your awareness and visibility, funneling a tiny segment of visitors towards converting. Most visitors, if they’re actual potential leads, will engage with other parts of your website, sign up for emails, download a resource, or simply return at a later date to learn more.

Remember the old B2B marketing “Rule of 7” — it takes, on average, 7 interactions with your brand before a lead is ready to convert. If anything, today’s internet has made the average journey even longer. Accenture found that most buyers are already 57% through the buying process before they’re ready to engage with a sales representative.

The entire journey before that point matters. AI can handle the very first stages of the sales funnel, then you should put your energy into what matters more: Attracting and engaging more qualified audiences.

What does this mean practically speaking?

Full-funnel content strategies are increasingly important. This means:

  • Producing and maintaining high-quality content to ensure visibility and awareness across search results (including in AI Overviews).
  • Putting a greater emphasis on your middle- and bottom-funnel content strategies. Create unique content that truly answers their questions and addresses their concerns.
    • Remember, these are the audiences you want, and the terms they’re searching are less likely to generate AI results.
  • Building multiple engagement options into your website—email, video, downloadable resources, and more—to retain the attention of qualified audiences.
  • Increasing your brand’s visibility in other ways, like public thought leadership opportunities and cross-blogging.
    • These activities build awareness of your brand among both your audience and Google, making it more likely to prioritize your brand in search results.

TLDR: Brands that prioritize raw traffic above engagement from qualified audiences are likely to be hit hard by the AI evolution.

Brands with holistic, focused content strategies are not likely to be heavily impacted.

If you already follow SEO best practices and have a thoughtful conversion strategy, you’re already winning.

Learn key takeaways and next steps coming out of the recent Google leak.


How is Nexus Adapting to AI Overviews?

The Nexus content team has been talking about AI Overviews (or SGEs as they were previously called) for months now.

Our standard content practices already set us up well to compete on any search results page—your Nexus-created content is already leading the way.

But with the widespread rollout of AI Overviews, a few points in particular are on our radar. We’re specifically prioritizing:

  • A deeper understanding of the user intent, funnel position, and how to best address them in the content.
    • If you’re a Nexus client and have helpful sales collateral or customer interviews, please share them with us!
  • An increased emphasis on organic “topics” rather than just straightforward keywords.
    •  AI systems understand language more naturally, looking for concepts and related phrases instead of just discrete keywords.
    • Longtail “How do I…” and “Why should I…” queries are also more likely to receive AI Overview results—we’ll make sure you show up for them!
  • Writing more directly and concisely than ever.
    • This will ensure we’re providing the quick answers that both users and Google want.
  • Creating true “information gain”—content that AI can’t replicate.
    • Look for more statistics, trends, and case studies featured in your content.
    • Your copywriter might even reach out to you for some direct stories and opinions. Google loves content that takes a specific position!

In addition to beefing up our content strategies, the Nexus team has also been improving and developing a full range of other service options that can help your brand build its overall awareness and authority. These include influencer marketing, video production, public thought leadership opportunities through NXUnite, and more.

Please contact us to learn more about any of these services or to chat about your brand’s overall digital marketing strategy.

Key takeaways from this article

  • As long as people use search engines to find the information, products, and services they need, SEO will still be a crucial tool for reaching them.
  • Google algorithms and processes have always changed. Pay attention, learn, and adapt, and you’ll be fine.
  • Remember the most important goals of your website: leads, not traffic.
  • If you already follow SEO best practices and have a thoughtful full-funnel conversion strategy, you’re already winning.

And if you’re already a Nexus client, we’ve got you covered. We think about Google’s changes and how to stand out in a changing online world all day. Please don’t hesitate to get in touch if you want to learn more.

 


 

Have any questions or want to learn more about how we’re thinking about AI changes in the search landscape?

Contact us or reach out directly to your Nexus points of contact at any time.


Sources and Additional Resources

 

Our Thoughts on Google’s Generative AI Update

In a recent announcement, Google introduced Search Generated Experiences (SGE), a feature that uses Large Language Models (LLM), to provide more detailed search results. This generative AI technology aims to provide more comprehensive, detailed responses to search queries, including conversational prompts.

Google has been leveraging AI in search for years, but with SGE, the search experience will become more conversational and fluid. The company refers to this change as a significant shift in the future of search.

There is A LOT of noise on this topic from the SEO industry and plenty that we don’t know. Since this change hasn’t been rolled out yet, the best source of truth is Google’s expanded brief on the topic of generative AI which we’ve reviewed in detail.

Strategic Insights: Navigating the Future of Search with Nexus

The launch of SGE signifies a transformative shift in the search landscape. We are closely monitoring these developments, and here are some of our insights so far:

  1. Emphasis on Quality Over Quantity:
    • Key insight: Google’s SGE highlights the importance of high-quality content.
    • How to apply this: We recommend regular audits of your content to ensure it’s up-to-date and relevant.
    • Nexus POV: We are doubling down on our focus on creating the only highest quality content that should be able effectively to compete in the new evolving landscape.
  2. In-Depth Content and Comprehensive Answers:
    • Key insight: SGE is designed to provide comprehensive answers to complex queries.
    • How to apply this: Consider creating comprehensive guides, FAQ sections, and how-to articles that provide complete answers to user questions.
    • Nexus POV: Make sure that your pages that rank for the most important keywords in your industry fully address the target user intent by looking at the existing SERPs, speaking with experts at your organization on the subject matter, and going through a “best content” checklist that catches any potential gaps.
  3. Focus on User Experience (UX):
    • Key insight: AI integration in search increases the need for solid UX design.
    • How to apply this: Try to focus on making your website mobile-friendly, easy to navigate, and have fast loading times.
    • Nexus POV: In our engagements, we’ll be placing a greater emphasis on technical ranking factors via a variety of tools (Lighthouse, SEMRush, Moz, and Search Console) to promote an optimal website experience for users and increase positive ranking factors.
  4. Adaptive SEO Strategies:
    • Key insight: This is a fast-evolving space and SEO practices will continue to evolve with the launch of SGE.
    • How to apply this: We recommend staying informed about changes in search engine algorithms and adjusting SEO strategies accordingly.
    • Nexus POV: We’ll continue to keep clients aware of these changes and adjust our engagements accordingly to maximize organic channel performance.
  5. Thought Leadership:
    • Key insight: SGE’s reliance on high-quality sources and citations means thought leadership and citations by other industry-relevant websites are more important than ever.
    • How to apply this: Strive to publish content that others in your industry will want to reference, to increase your visibility and reputation. Work with industry partners to promote your thought leadership.
    • Nexus POV: Leveraging our network of 200+ partners, we’ll continue to work with our clients to position their brand as an industry leader through the creation of original, insightful content and win-win marketing opportunities.

These insights guide our strategic approach as we navigate the evolving search landscape. We believe that understanding and adjusting to these changes is vital for successful digital marketing in the new era of search.

Learn key takeaways and next steps coming out of the recent Google leak.

Leveraging Industry Expertise in the Era of SGE

In light of the new SGE update, industry expertise becomes an invaluable asset. Google’s generative AI system, SGE, rewards content that reflects a high level of knowledge and understanding within specific industries. This reinforces the importance of our approach at Nexus – emphasizing the depth of knowledge in our clients’ industries.

By leveraging industry expertise, Nexus aims to help our clients create compelling, authoritative content that aligns with SGE’s emphasis on quality, relevancy, and depth of understanding. As we navigate this transformative period in search, our focus remains on helping our clients maximize their visibility and impact in their respective industries.

This is only the beginning…

Generative AI is evolving, reshaping the landscape of search experiences. At Nexus, we’re dedicated to staying ahead of these advancements, ensuring we’re always ready to adapt our strategies and practices to optimize search performance for our clients and partners.

Understanding this dynamic field is a journey, and we are committed to it. As we progress, we are more than willing to have conversations on this subject, exploring together how these advancements can be leveraged to further your success.

Feel free to reach out to me at any time. You can email me at rafi@nexusmarketing.com, or call me directly at 301-760-8230. Let’s navigate the future of search together.

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