Google Says GEO Is Just SEO. Are They Right?

Google published this week an official guide titled "Optimizing your website for generative AI features on Google Search." The message is unambiguous: GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are not new disciplines. They are still SEO.

A recent article on Search Engine Journal summarized the guide, and their conclusion is equally direct: the AI-specific tactics that the industry has aggressively promoted over the past year can be safely ignored.

As someone who has tested nearly every "GEO tactic" that surfaced over the past two years, my reaction is mixed. Google is right on the fundamentals. But oversimplification hides nuances that site owners need to understand before making decisions.

What the new guide actually says

The guide, published on developers.google.com, extends existing documentation about AI features in Search. Gary Illyes and Cherry Prommawin from the Search Central team presented these principles at Search Central Live and have now formalized them into a reference document.

The core message: optimizing for generative AI features in Google Search means optimizing for the search experience in general. It is not a separate channel, does not require a separate strategy, and does not demand new tools.

Specifically, Google recommends three things that work:

• Non-commodity content with unique perspectives, beyond information available everywhere online
• Properly indexed pages eligible for featured snippets, with semantic HTML and unrestricted crawler access
• Reducing duplicate content and following crawling and structuring best practices

For e-commerce, add Merchant Center feeds and product structured data. For local businesses, a complete and updated Google Business Profile. Nothing new, nothing spectacular. All practices a competent SEO already applies.

Five "GEO" tactics you can safely ignore

This is where the guide becomes genuinely useful. Google explicitly lists tactics that site owners can disregard, even though the industry promoted them as essential:

1. llms.txt: You do not need specially formatted files for AI systems. We wrote about llms.txt in April when the industry was still debating whether it was worth implementing. Google's official verdict: not necessary. Their systems understand content without additional markup dedicated to language models.

2. Content chunking for AI: Artificially fragmenting content into small pieces, forcing headings between sections, or creating short single-topic pages does not help. Google says their systems process complex multi-topic pages without issues. Long, comprehensive pages work just as well.

3. AI-specific rewriting: Synonyms and keyword variations "optimized for AI" are useless. The engine understands general meaning without them. If you paid for a tool that "reformulates content for AI," that was wasted budget.

4. Special AI schema markup: Structured data is not mandatory to appear in generative results. Google recently dropped FAQ rich results as well, and now confirms that schema is not a prerequisite for AI features. Schema remains useful for other purposes (classic rich snippets, Knowledge Panel), but it is not the decisive factor for AI.

5. Manufactured mentions: If you paid for artificial links or mentions to "train" models, Google states clearly that the benefit is minimal. Inauthentic mentions do not significantly influence how models select sources for generative responses.

Why the simplification is only partially correct

Google is right in a fundamental sense. If you do SEO well (original content, clear structure, crawlability, domain authority), AI features will find you. You do not need a parallel strategy. The principles are the same; only the standards have risen.

But "do SEO well" is a claim that 90% of websites cannot validate. The SEO that works for AI Search is not 2020 SEO. It is SEO that produces content with unique perspective, not content that compiles what others wrote. It is SEO that builds authority through real community and demonstrable expertise, not through aggressive link building or mass guest posting.

We have tested this directly on sites we manage. Pages that appear most consistently in AI Overviews share three characteristics: they contain original data (not recycled from other sources), they have an author with verifiable online presence, and they are naturally cited by other sites. None of these characteristics are "GEO." All of them are superior-quality SEO.

The subtle distinction Google makes without saying it explicitly: the quality standard for SEO has risen to the level where GEO and SEO naturally converge. If your SEO is mediocre, this guide does not spare you from work. It just tells you the work is still called SEO.

What to do with this information

Here is what we recommend to clients after this guide was published:

Unify your budgets. If you have a separate budget for "AI optimization" or "GEO strategy," merge it into your SEO and content marketing budget. You do not need two specialists or two parallel strategies. You need a single, better strategy.

Invest in non-commodity content. Google uses this term three times in the guide. In practice it means: proprietary data from real projects, opinions formed through direct experience, analyses based on information only you can access. Not compilations from other sources, not reformulations of the same ideas found on the first 10 Google results.

Audit your technical fundamentals. If your pages are not indexed, do not appear in snippets, have crawl budget issues, or suffer from duplicate content, no strategy (GEO or SEO) will save you. The guide confirms that technical foundations remain the primary prerequisite. Indexation, accessibility, speed, semantic structure.

Do not extrapolate to all AI engines. Google speaks strictly about Google Search. ChatGPT, Perplexity, Claude, and other AI engines have their own source selection criteria. This guide does not invalidate the need to be visible in those ecosystems. It only says that for Google, you do not need separate tactics. Visibility in ChatGPT or Perplexity remains a separate subject that deserves attention.

The practical conclusion: Google just simplified the equation for its own platform. GEO, AEO, AI SEO are all rebrands of the same thing. Do SEO well, at 2026 standards, and you will appear in generative results. But "well" in 2026 means significantly more than it meant in 2022.