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Google Says AEO and GEO Are 'Still SEO': What Its New AI-Search Guidance Actually Means

Google's May 2026 guide says optimizing for AI Overviews is 'still SEO' — same ranking systems, no separate AI index. What to stop doing, and what actually earns AI citations.

Amon Taboi

11 Jun 2026 — 4 min read

TL;DR

On May 15, 2026, Google published its first consolidated guide to optimizing for generative AI features, and its message is blunt: there is no separate "AI SEO." Google's Search Relations team (John Mueller) frames AEO and GEO as foundational SEO applied to an AI surface.
Google's words: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." AI Overviews and AI Mode run on the same ranking and retrieval systems as classic Search.
Google explicitly tells site owners to stop chasing several popular "AI" tactics: llms.txt files, content "chunking," AI-specific rewriting, and over-indexing on structured data purely for AI.
What it says does move the needle: unique, first-hand, genuinely useful content — the thing AI can't generate itself.

If you have been buying "AEO" and "GEO" services as something separate from SEO, Google just told you to stop. In a guide published May 15, 2026 — its first consolidated word on the subject — the company says optimizing for AI Overviews and AI Mode is the same job as optimizing for Search, because they run on the same retrieval and ranking systems. The headlines framed this as Google "claiming authority" over the AEO/GEO space. The more useful reading: Google is deflating a consulting category.

Why "AEO/GEO is still SEO"

The technical reason is straightforward. AI Overviews are powered by retrieval-augmented generation (RAG) that is grounded in Google's core Search index — the same index that ranks the blue links. There is no separate "AI index" with its own rules to game. So the inputs that earn ordinary rankings — relevance, quality, trust — are the inputs that earn citations inside AI answers.

The tactics Google says to ignore

This is the part worth internalizing, because a whole cottage industry sells these. For Google's own surfaces, the guide says you do not need:

llms.txt files — unnecessary for Google.
Content "chunking" — Google says its systems already understand multiple topics on a page and surface the relevant piece; you don't need to pre-slice your content.
AI-specific rewriting of pages.
Inauthentic brand mentions and over-indexing on structured data purely for AI purposes.

One important boundary: this guidance is for Google's surfaces. It does not settle how ChatGPT or Perplexity weight signals — those engines may value things (like clean structured data or explicit summaries) that Google says it doesn't strictly need. Treat non-Google AI optimization as a separate question.

What actually earns AI visibility

Google's positive guidance is almost boring, which is the point: create content that is unique, compelling, and useful. Generic summaries that an AI could generate on its own add no citation value. What earns inclusion is genuine expertise, original research, and first-hand experience — material the model can't synthesize from everyone else's pages. For commerce and local businesses, Google adds that structured product and business data (Merchant Center feeds, Google Business Profiles) helps your offerings show up across both AI responses and regular results.

The zero-click reality you still have to plan around

"Still SEO" does not mean "nothing changed for traffic." AI Overviews are compressing clicks for informational queries, and a large share of searches now end without one. The strategic shift: being cited inside an AI answer is becoming its own form of visibility, even when it doesn't produce a click. But the #1 organic position still matters where intent is commercial — when someone wants to compare vendors, get a quote, or buy, they still click through. Plan for both: cite-worthy depth for informational queries, and ranking strength on the transactional ones that pay.

What this means for you

Stop paying for "AEO/GEO" as a separate service line aimed at Google. It's SEO. Redirect that budget into content quality and genuine expertise.
Invest in first-hand, non-commodity content — original data, real experience, a named expert voice. That is the durable AI-citation moat.
Measure impressions and citations, not just clicks. Rising impressions with flat clicks usually means you're appearing in AI Overviews, not failing.
Keep separate playbooks for non-Google engines (ChatGPT, Perplexity), which may reward structure and summaries Google says it doesn't need.

Frequently asked questions

Is AEO/GEO different from SEO?

For Google's surfaces, no. Google's May 2026 guide states that optimizing for generative AI search is "still SEO" because AI Overviews and AI Mode use the same ranking and retrieval systems, grounded in the core Search index. Non-Google engines like ChatGPT and Perplexity may weight signals differently.

Do I need an llms.txt file?

Not for Google — its guide explicitly lists llms.txt as unnecessary for its surfaces. Some practitioners still use it for other AI platforms, but it is not a Google ranking input.

Should I "chunk" my content for AI?

Google says no — its systems already parse multiple topics on a page and surface the relevant part. Write for humans; structure for clarity, not for machine pre-slicing.

Does this mean clicks no longer matter?

No. AI Overviews reduce clicks for informational queries, but the #1 organic position still drives meaningful click-through on commercial and transactional searches. Track impressions and AI citations alongside clicks.