What Google's Official AI Search Guidance Says (and Doesn't)

What does Google's guide actually say?

The guide, titled "Optimizing your website for generative AI features on Google Search," answers the question SEOs were asking: is SEO still relevant for AI Overviews and AI Mode? Google says yes, because those features rely on retrieval-augmented generation and query fan-out, both grounded in "our core Search ranking systems." That means indexing, crawlability, content quality and page experience still decide whether a page can appear in an AI-generated answer at all.

Quality, crawlability, and the rest of the guide

On content, the guide asks for "non-commodity content that's helpful, reliable, and people-first" with a genuine point of view, warning that content made "primarily to manipulate rankings" still violates its scaled content abuse policy. On technical structure, a page "must be indexed and eligible to be shown in Google Search with a snippet" before it can appear in a generative AI feature — so crawlability and duplicate-content hygiene remain gating factors, a separate question from the crawler-access debate in should you block AI crawlers like GPTBot.

Local and ecommerce sites should keep Google Business Profiles and Merchant Center feeds current, since "generative AI responses can include product listings, product information, and information about local businesses." Images and video can appear directly inside an AI answer. A new "Generative AI performance report" in Search Console shows impressions and clicks from Google's AI surfaces, with a warning that "no third-party tool has access to our internal ranking or AI systems" — it only reports Google's own surfaces, which is why cross-engine measurement needs its own method (see how to measure AI visibility). A short section on "agentic experiences" points to agent-friendly site practices and an emerging Universal Commerce Protocol for AI agents.

The tactics the guide says you don't need

The guide's most-quoted section is its mythbusting list. Structured data "isn't required for generative AI search, and there's no special schema.org markup you need to add." Llms.txt-style files and similar machine-readable files "will neither harm nor help your site's visibility" in Google Search. There is no need to "chunk" content into small pieces, and no need to rewrite content "in a specific way just for generative AI search" or chase inauthentic brand mentions. Each claim is specific to how Google's own systems work today.

What it doesn't cover

Nothing in the guide names ChatGPT, Perplexity or Claude — it is a Google document about Google features, written by Google Search Central. That silence matters: none of its "you don't need X" conclusions have been tested against, or claimed to apply to, any other engine. Reading "schema isn't required" and dropping structured data everywhere extrapolates from a Google-only document; see what GEO actually is and how GEO, AEO and SEO differ for why engine-specific behavior is the reason those terms exist at all.

How this squares with other sources

The framing lines up with how marketers talk about this work: a July 2026 Fractl survey of 343 US marketing decision-makers found 81% still call it "SEO" internally, only 27% having adopted a separate AEO or GEO label — consistent with Google's "still SEO" framing. But that survey measures internal vocabulary, not what earns a citation on a non-Google engine, which this guide was never written to answer.

FAQ

Does Google's guide apply to ChatGPT, Perplexity or Claude? No. It is written by Google Search Central about Google's own generative AI features and never mentions another engine.

Do I still need schema markup for AI search? Google says no, for its own generative AI features specifically. Whether schema helps citation decisions on other engines isn't addressed here.

What is the Generative AI performance report in Search Console? A report showing impressions and clicks Google attributes to its AI features, such as AI Overviews. It only covers Google's own surfaces.

If the guide says "still SEO," should I stop anything AI-specific? Not necessarily. "Still SEO" describes how Google's own AI features work. Engines built differently from Google may reward different things.

What to do next

1. Check the basics the guide gates on — indexing, crawlability, page experience — since those still decide eligibility for Google's AI features.
2. Stop spending effort on the Google-specific myths the guide debunked (chunking, llms.txt, extra schema) for Google's surfaces, but don't assume the same holds elsewhere.
3. Pull the Generative AI performance report in Search Console for Google's view, and measure other engines separately since Search Console can't see them.

ContextOwl checks whether your key pages actually answer a question directly, which matters for Google's AI features and for other engines alike — try the Direct-Answer Snippet Checker.