Search Visibility
June 2026
Google published a new document this week: "Google Search's guidance on using third-party SEO tools, services, and advice." It is short. It is direct. And it carries a specific message that marketing leaders managing search visibility budgets should read before their next vendor renewal.
The document does not break new technical ground. What it does is formalize Google's position on a category of vendors that has multiplied fast: tools and agencies selling optimized visibility in AI-powered search results under labels like AEO (answer engine optimization) and GEO (generative engine optimization).
What Google actually said
The guidance covers three areas. First, it addresses third-party SEO advice broadly, noting that good advice either qualifies itself as opinion based on data and experience, or traces back to official Google Search documentation. Advice that simply asserts "this is what Google wants" without sourcing gets no endorsement.
Second, it explicitly names the AEO and GEO category for the first time in official Google documentation, listing them alongside sitemap tools and indexing directive tools as services "you may be considering." Google's document notes directly that some of these services "may make claims or imply that what they do is somehow 'acceptable' or 'approved' by Google Search" and states that Google does not evaluate any third-party service.
Third, and most useful for anyone managing vendor relationships: Google confirmed that third-party tools have no access to internal ranking data. Predictions about ranking performance are the vendor's own. They may not materialize.
The document closes with a recommendation to use Google Search Console (GSC), described as providing data directly from Google Search itself.
Why this lands differently for B2B marketers
The SEO tool industry runs on proprietary metrics. Domain authority scores, content grades, AI visibility scores, citation likelihood indices. Vendors build dashboards around these numbers. Buyers treat them as performance data. That is the practice this guidance is pushing back against.
For B2B marketing leaders, the practical problem is procurement. Marketing teams are evaluating AEO and GEO vendors right now. The category is less than two years old in its current form, budgets are being committed, and there is no standardized way to validate what these tools actually do. Some are running solid methodology. Many are selling a dashboard of numbers that do not correspond to anything Google measures internally.
I wrote about the fundamentals of AI search visibility in my Info-Tech blueprint Stay Relevant in the Era of AI-Powered Search. A consistent finding in that research: the signals that matter for AI citation and retrieval (content structure, topical authority, entity clarity, structured data) are the same signals Google has asked for in traditional search for years. There is no separate optimization layer for AI results that bypasses content quality. Google's new document says the same thing in plain language.
Google also updated the "Do you need an SEO?" document
The new guidance is a companion to updates Google made in the same period to its existing "Do you need an SEO?" document. That updated version now includes a question to ask any SEO offering AI experience services: is their advice aligned with Google's official guidance on optimizing for AI features? The implication is clear. If a vendor cannot point to official guidance as a basis for their recommendations, the recommendations deserve skepticism.
The broader "Do you need an SEO?" document has existed for years as Google's consumer-facing warning about SEO fraud. The new addition of AI optimization specifically marks a maturation point. Google is signaling that the AEO and GEO vendor category is large enough now to warrant the same scrutiny framework it applies to traditional SEO services.
The data problem is the real issue
The most important sentence in the new guidance is this: third-party tools do not have access to Google's internal ranking data, and their predictions may not happen.
This is a straightforward statement with significant consequences for how performance is measured and reported. When a vendor shows you an "AI visibility score" or tells you your content ranks in the top tier for AI-generated answers on a given topic, they are showing you their model's output. That model is built on crawls, inference, and reverse engineering. It is not Google's data. It is not Perplexity's data. It is an estimate.
Some of those estimates are useful. Directional signals about content coverage gaps or structural issues are legitimate value. But any vendor framing their proprietary score as a definitive measure of AI search visibility is making a claim the data cannot support.
Google Search Console is the only source of actual Google data about how your content performs in Google Search. For AI Overviews specifically, GSC data is still limited, but it is the authoritative source of what Google is surfacing from your domain. That distinction matters when you are deciding how much to invest in optimizing for AI search results.
Monday actions for marketing leaders
Three specific things to do this week:
Audit your current vendor claims. Ask every SEO, AEO, or GEO vendor in your stack to show you where their recommendations trace to official Google guidance. If they cannot, that is not disqualifying on its own, but it should shift the category from "data-backed optimization" to "informed opinion." Price and evaluate accordingly.
Get into Google Search Console. If your team is not actively using GSC as a primary source of search performance data, fix that before committing to any AI optimization spending. GSC now surfaces AI Overviews clicks and impressions. That data is from Google. Everything else is a proxy.
Reframe how you evaluate AI search proposals. When a vendor pitches AEO or GEO services, the first question is not "what score will we get?" It is "what content and structural changes are you recommending, and how do those trace to documented Google guidance?" If the answer is a proprietary methodology with no public basis, treat it as an untested hypothesis rather than a proven practice.
Google has now drawn the line explicitly. How vendors position themselves relative to that line tells you something about how much to trust their methodology.
Works Cited
Google Search Central. "Google Search's Guidance on Using Third-Party SEO Tools, Services, and Advice." Google for Developers, 5 June 2026, developers.google.com/search/docs/fundamentals/third-party-seo.
Google Search Central. "Do You Need an SEO?" Google for Developers, 10 Dec. 2025, developers.google.com/search/docs/fundamentals/do-i-need-seo.
Google Search Central. "Optimizing for Generative AI Search." Google for Developers, developers.google.com/search/docs/fundamentals/ai-optimization-guide.