Google's GEO Guide Review: Is Its Advice Practical or Too High-Level?

What does Google's guide say?

The guide, on Google Search Central, covers AI Overviews and AI Mode. Its main points:

• It is still SEO. From Google Search's perspective, optimising for generative AI search is optimising for the search experience, "and thus still SEO." AEO and GEO are treated as labels for the same work.
• How the features work. They are rooted in Google's core ranking and quality systems, using retrieval-augmented generation to pull pages from the Search index, and query fan-out to run related searches. Google's example: "how to fix a lawn that's full of weeds" might fan out to "best herbicides for lawns," "remove weeds without chemicals" and "how to prevent weeds in lawn."
• Create valuable, non-commodity content. Google says this will likely influence presence in generative AI search more than anything else in the guide. It contrasts "7 Tips for First-Time Homebuyers" with a first-hand account such as "Why We Waived the Inspection & Saved Money."
• Technical basics. Pages must be indexed and eligible for a snippet; allow crawling; follow JavaScript SEO practice; provide a good page experience; reduce duplicate content.
• Use Merchant Center and Business Profile for products and local businesses, and consider Business Agent.
• Myths to ignore: llms.txt and other "special" markup, chunking content into small pieces, rewriting content just for AI, seeking inauthentic mentions, and overfocusing on structured data.
• Measure with Search Console's generative AI performance report.
• Explore agentic experiences, such as browser agents and the Universal Commerce Protocol.

A month later, Google added guidance on third-party SEO advice, urging site owners to check AEO and GEO claims against its official documentation and noting that third-party tools have no access to its internal ranking data.

Where is the guide genuinely practical?

In three places.

The mythbusting saves money. Many GEO offers sell llms.txt files, special AI schema, content "chunking" or rewrites for AI. Google says plainly that its Search, including AI features, does not use llms.txt or special markup, that no special schema.org is needed, that there is no requirement to chunk content, and that its systems understand synonyms, so you need not chase every long-tail variation. For Google, those budget lines can go. More on llms.txt is in whether llms.txt works like robots.txt.

The technical bar is clear. "Indexed and eligible to be shown with a snippet" is a testable requirement. If a page is not indexed, or carries nosnippet, it cannot be a supporting link. That turns vague AI visibility worries into a Search Console check.

The fan-out example is useful. It shows that pages answering sub-questions can be cited in answers to broader questions, which gives content teams a concrete way to plan topic coverage.

Where is it too high-level?

"Non-commodity content" is the right goal but not a method. The guide says unique, first-hand, expert content matters most, and gives one pair of example titles. It does not say how its systems recognise such content, how much first-hand evidence is enough, or how a business with ordinary products can produce it at scale.

It says nothing about being cited versus merely appearing. The generative AI report in Search Console shows impressions, meaning times your links were shown, by page, country and device. It does not show the queries, the answer text, whether your brand was named, or whether a competitor was recommended instead. For most businesses, those are the questions that matter.

Off-site reputation gets one line. The guide notes that AI features can show what is said about products across blogs, videos and forums, and that inauthentic mentions are not helpful. It does not address authentic earned coverage, reviews or listings, although independent studies find third-party sources make up much of what AI answers cite for brand questions.

Wrong answers are not covered. There is no guidance on what to do when an AI Overview states something false about your business, beyond general feedback tools.

Is the guide self-serving?

Partly, in scope rather than accuracy. Google is the authority on how Google Search works, and its statements about its own systems are the best evidence available. But "it's still SEO" is true "from Google Search's perspective," as the guide itself says. It is not a guide to AI search generally. The recommendations also lead back to Google's own tools: Search Console, Merchant Center, Business Profile and Business Agent. That is reasonable for Google's features, but it leaves out what other assistants need.

The clearest example is JavaScript. For Google, following normal JavaScript SEO practice is enough, because Googlebot renders pages. A 2024 study by Vercel and MERJ found that the main crawlers used by OpenAI, Anthropic and Perplexity did not render JavaScript. A site that relies on client-side rendering can be fine for Google's AI features and invisible to ChatGPT. Fixes are covered in how to make JavaScript-rendered pages readable to AI crawlers.

How should you use the guide?

As the Google layer of a wider plan:

Measurement beyond Search Console is covered in how to measure success in GEO compared with SEO.

What might this look like in practice?

Consider an illustrative home insurance broker, Hearthline. An agency had proposed llms.txt files, AI-specific schema and a rewrite of 200 pages into short "chunks." After reading Google's guide, Hearthline dropped all three for Google. It checked indexing and snippet settings, then rewrote its ten most important guides around first-hand claims data and adviser case notes. For other assistants, it found its quote pages rendered only in the browser and moved them to server-side rendering, allowed OAI-SearchBot, and began monthly checks of ChatGPT and Copilot answers. Search Console's generative AI report showed rising impressions for the rewritten guides.

What do people ask about Google's GEO guide?

Does Google say GEO is different from SEO?

No. Google says optimising for its generative AI search is still SEO.

Does Google use llms.txt?

No. Google says its Search, including AI features, does not use llms.txt or other special AI files or markup.

Do I need structured data for AI Overviews?

No. Google says there is no special schema.org markup needed, though structured data still supports other Search features.

Does the guide apply to ChatGPT?

No. It covers Google Search only. Other assistants have their own crawlers, data sources and requirements.