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Google Finally Named AEO and GEO. Here Is What That Means for Your Site.

Waqar Mohammad

Waqar Mohammad

CEO

calendar_today Jun 21, 2026 schedule 12 min read
Google Finally Named AEO and GEO. Here Is What That Means for Your Site.

1. What just happened — two publications, three weeks apart

Plain English

Google spent May and June 2026 publishing its first ever official guidance on AI search optimisation. Two documents. Three weeks apart. The May document said SEO still works. The June document named AEO and GEO as legitimate professional services for the first time.

In the space of three weeks, Google published more official clarity on AI search than it had in the previous two years combined.

15 May 2026 — Google released a standalone technical guide titled "Optimizing your website for generative AI features on Google Search" under a new "Generative AI fundamentals" section in its Search Central documentation. This is Google's May 15 technical guide — the one every SEO publication quoted, often selectively.

5 June 2026 — Google made two further moves in a single day: it published a brand-new page on third-party SEO tools and advice, and updated its long-standing "Do you need an SEO?" hiring guide to explicitly name AEO and GEO as legitimate service categories for the first time.

The sequence matters. The May document is the technical reference — what to do and what to ignore. The June update is more important: Google placed AI search optimisation inside the same hiring guide businesses use to vet any SEO agency. That is a professional category getting official standing.

Most coverage collapsed both events into one and read the "it's still SEO" line as Google deflating the whole AEO/GEO market. The opposite reading is more accurate.

2. Google's answer on AI Overviews and AI Mode

Plain English

AI Overviews and AI Mode are not separate search systems with their own secret rules. They run on the same index and quality signals as the rest of Google Search.

The May 15 guide opens by asking the question the industry had been arguing about for two years: Is SEO still relevant for generative AI search?

Google's answer: "In short, yes!"

The reason is mechanical, not philosophical. Google's AI features — AI Overviews and AI Mode — are built on top of its core ranking and quality systems. They do not have a separate index. They do not respond to a separate set of signals. When AI Overviews surfaces an answer, it is drawing from pages Google already retrieved and ranked.

Two mechanisms drive this:

Retrieval-augmented generation (RAG)

Google's term for this is "grounding." Rather than inventing an answer, the AI leans on Google's existing ranking systems to retrieve relevant pages from the index, then synthesises a response with clickable links back to those sources. If your page can't be retrieved and ranked, it can't be cited in an AI answer.

Query fan-out

When a user asks a question, the system spins up multiple related queries simultaneously to gather broader context. A search for "how to fix a lawn full of weeds" fans out into queries like "best herbicides for lawns," "remove weeds without chemicals," and "how to prevent weeds in lawn." Visibility across a topic cluster — not just a single keyword — is what gets you into the answer.

Read those two together and the strategy is clear: ranking well, on a cluster of related topics, remains the primary path into AI-generated answers. This is not new thinking. It is SEO with a wider aperture.

3. The five tactics Google says you can bin

Plain English

A lot of AI SEO advice being sold in 2025 and 2026 is either harmless or a waste of money. Google named the biggest ones directly.

The most-quoted section of the May guide is titled — bluntly — "What you don't need to do." Google did not imply these tactics are low-value. It said you do not need them.

❌ llms.txt files

"You don't need to create new machine-readable files, AI text files, markup, or Markdown to appear in generative AI search."

Google may crawl an llms.txt file the same way it crawls any other file on your site, but it does not treat it differently. One of the most widely marketed GEO tactics of 2025 — declared inert, for Google's AI features at least.

❌ Chunking content into small pieces

"There's no requirement to break your content into tiny pieces for AI to better understand it."

Google's systems understand that a page can cover multiple topics. There is "no ideal page length." Write for your reader, not for a parser.

❌ Rewriting content into "AI-friendly" phrasing

"You don't need to write in a specific way just for generative AI search."

The systems understand synonyms and intent. Contorting your prose to hit every long-tail variant does nothing for AI Overviews and may actively harm readability.

❌ Manufacturing inauthentic mentions

Building fake brand references across the web "isn't as helpful as it might seem." Google's ranking systems reward genuine authority and its spam systems filter the rest.

⚠️ Over-relying on structured data as an AI hack

This is the one that needs careful reading. Google states structured data "isn't required for generative AI search, and there's no special schema.org markup you need to add."

It does not say stop using structured data. It adds: "it's a good idea to continue using it as part of your overall SEO strategy, as it helps with being eligible for rich results on Google Search."

The distinction: schema works for what it always did — FAQPage for rich results, Article for better snippet display, LocalBusiness for maps. Adding schema to chase AI Overview citations as if it were a shortcut? That specific expectation is the thing Google is correcting.

Tactic Worth doing? Why
llms.txt Not for Google's AI features May help Perplexity/Claude
Content chunking No Google understands long-form
AI-specific phrasing No Systems understand intent
Fake brand mentions No Spam filters neutralise them
Schema markup (for rich results) Yes For rich results, not AI shortcuts

4. What Google says actually works

Plain English

Strip out all the AI-specific hype and Google's answer is: make something genuinely useful, make sure Google can access and crawl it, build real authority over time.

After debunking the hacks, the guide narrows to a short list of what actually moves the needle for AI visibility.

Unique, valuable, crawlable content

This is Google's consistent message across every major documentation update of the last three years. Content that answers a real question better than anything already indexed — that is the primary lever. Not prompts. Not special files. Not chunked paragraphs.

Be accessible to Google's crawler

If Google cannot crawl your page, neither the blue link index nor the AI layer will include it. This is foundational, not optional.

E-E-A-T signals

Experience, Expertise, Authoritativeness, Trustworthiness. These are the signals Google's quality raters use and the signals its systems model. Author credentials, cited sources, original data, real business information, and consistent publishing standards all contribute.

Relevance across a topic cluster

Because of query fan-out, a single well-optimised page is less powerful than a coherent cluster of pages covering a topic in depth. Internal linking, pillar pages, and cluster content — the fundamentals of modern SEO content strategy — directly serve AI visibility.

What is absent from this list is equally important. No special markup. No rewriting. No AI-specific file formats. The guide ends where every well-run SEO strategy already begins: genuinely useful content that Google can crawl.

Next Step

Not sure how your current content strategy maps to these signals? That is exactly what our AEO audit covers — no jargon, no guarantees, just a clear read of where you stand. Request an AEO gap analysis →

5. 5 June: AEO and GEO named as legitimate SEO services

Plain English

Google's hiring guide — the document businesses read before signing an SEO contract — now officially lists AEO and GEO as legitimate services. Before 5 June, no business owed any agency money for GEO work that Google had acknowledged. After 5 June, they do.

The June 5 update to Google's "Do you need an SEO?" documentation added something quietly important: for the first time, the guide that businesses use to evaluate whether to hire an SEO professional now explicitly names "optimising for AI experiences (also called AEO/GEO)" as a service a credible practitioner can provide.

Placing AEO and GEO inside the same document that defines legitimate SEO services gives them formal standing within the discipline's vocabulary and professional standards.

The framing Google uses is worth noting: from Google's perspective, "optimising for generative AI search is optimising for the search experience, and thus still SEO." This folds GEO into SEO rather than replacing it. The discipline's standards — content quality, technical health, E-E-A-T, transparency — now apply to AI search optimisation work by Google's own definition.

6. The third-party tools warning — what it means for agencies

Plain English

Google published a new page warning businesses about vendor claims. If an SEO or GEO agency says they have access to Google's internal data or can guarantee AI visibility, Google's own documentation says that is not possible.

The second document published on June 5 is the one most coverage ignored: a new page on "third-party SEO tools and advice".

Its core statement is unambiguous:

"Third-party tools don't have access to our internal ranking data. They can't guarantee performance. Any predictions are their own and, like predictions generally, may not happen."

This has direct implications for how businesses should evaluate any agency or tool offering GEO or AI visibility services — including us. Three questions Google's own framework implies you should ask any vendor:

1 — Does their advice align with Google's official documentation?

If an agency is recommending llms.txt files as a Google AI signal or selling schema-as-AI-hack, their advice does not align with the May 15 guide.

2 — Are they claiming access to internal ranking data?

No tool has this. Any "AI citation score" a tool gives you is a model estimate, not a Google data point.

3 — Are they guaranteeing specific AI Overview inclusion?

Google states this cannot be guaranteed. Treat promises of guaranteed AI visibility the way you'd treat guaranteed #1 rankings — as a red flag.

A credible agency should be able to point to the specific Google documentation that supports their recommendations. If they cannot, the recommendation is their own inference — which may be sound, but should be treated as such.

7. What this means for your site right now

Plain English

Nothing in these guides requires you to undo what you've already done. They do tell you where to stop spending time, and they confirm the direction the right work was already heading.

For most sites that have been producing real content on real topics, these publications are confirmation rather than disruption. Here is the practical read:

Keep doing

  • FAQPage and Article schema — these earn rich results and support readability. The guide explicitly says to continue using structured data for rich result eligibility.
  • Clear, direct answers beneath question-format H2 headings — this is what makes content extractable for AI Overviews and readable for humans simultaneously.
  • Publishing fresh, cited, specific content on topic clusters — query fan-out rewards topical breadth.
  • E-E-A-T signals — author bios, cited sources, original data, visible contact details.

Stop spending time on

  • Optimising llms.txt for Google (maintain it for other AI systems if you have one, but don't expect it to move Google's needle)
  • Rewriting content in "AI-friendly" phrasing
  • Chunking long-form content into fragmented pieces for parsability

On llms.txt

Google has now stated clearly that it has no special effect on their systems. It may still carry value for Perplexity, Claude, and other AI systems. The sensible approach: maintain it as a lightweight courtesy file for non-Google AI crawlers, but stop treating it as a Google optimisation tactic.

For UK small businesses and agencies specifically: the investment goes into genuinely better content and technical foundations. Shortcuts marketed as AI-specific techniques have now been addressed by name in Google's own documentation.

Where AEO goes from here

AEO and GEO are legitimate services. They are also, by Google's definition, a subset of SEO. The agencies doing this work well are the ones whose AI optimisation recommendations look exactly like good SEO recommendations: clear content, strong technical foundations, real authority, honest measurement.

The agencies selling AI-specific hacks that Google has now explicitly addressed by name are the ones to avoid — and you now have Google's own documentation to help you make that call.

If you'd like an honest review of where your site stands for AI search visibility — not a promise of guaranteed inclusion, but a clear gap analysis against what Google's guidance actually recommends — see how our AEO review works.

Frequently asked questions

Will this affect my Google rankings right now?

For most sites producing genuine content on real topics, no immediate impact. These publications confirm what good SEO practice already required. If your content strategy relied on tactics Google named in the "what you don't need to do" section — llms.txt optimisation for Google, AI-specific phrasing, content chunking — those were not moving the needle to begin with.

Does Google's guidance apply to Perplexity, ChatGPT, and other AI tools?

No. Google's documentation covers its own products: AI Overviews and AI Mode. Perplexity, ChatGPT, Claude, and Bing Copilot operate different retrieval systems with different signals. A tactic Google dismisses for its own AI features may still be relevant for other platforms. llms.txt is the clearest example — inert for Google, potentially useful for others.

If AEO is "still SEO," does that mean we only need one strategy?

For Google's AI features, yes — strong SEO is the primary input. For broader AI visibility across Perplexity, ChatGPT, and Claude, there are additional signals around entity clarity, citation authority, and content structure that deserve separate attention. The disciplines overlap significantly but are not identical across all platforms.

Does structured data (schema) still matter?

Yes. Google was clear: structured data is not required for AI Overview inclusion, but it remains valuable for rich result eligibility in traditional search. FAQPage schema, Article schema, and LocalBusiness schema continue to serve real purposes. The change is in expectation, not in the value of the practice.

Should we remove our llms.txt file?

Not necessarily. If you have one, keep it for the non-Google AI systems that do read it. Just stop treating it as a Google signal and don't invest further time optimising it specifically for Google's AI features.

What is the single biggest thing to take from these guides?

That the path into AI answers is the same as the path into any well-ranked Google result: genuinely useful, crawlable, authoritative content. Every tactic that shortcuts or replaces that has now been addressed directly in Google's documentation.

Related reading: SEO vs AEO — what the difference means for your budget · Run your own AEO audit in five steps · Our AEO service for UK businesses

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Tags: AEO GEO AI Search Google SEO UK Business 2026

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Waqar Mohammad

About Waqar Mohammad

CEO at Signature Co. Passionate about creating digital solutions that drive real business results.

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