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Generative Search

Google just told you GEO is SEO. What about the other LLMs?

On 15 May, Google published its first consolidated guide to optimising for its own generative AI features in Search — AI Overviews and AI Mode. Its position, stated plainly: from Google Search's perspective, optimising for generative AI search is optimising for the search experience, and is thus still SEO.

James Deverick·21 July 2026·5 min read

On 15 May, Google published its first consolidated guide to optimising for its own generative AI features in Search — AI Overviews and AI Mode. Its position, stated plainly: from Google Search's perspective, optimising for generative AI search is optimising for the search experience, and is thus still SEO.

What the guide does ask for is the same thing good SEO has always asked for: a genuine point of view, content that goes beyond common knowledge, clear organisation for human readers, and a site Google can actually crawl and index.

What's confirmed

What the guide actually debunks

Three things you can stop worrying about — on Google, specifically.

No chunking needed

You don't need to break content into AI-sized pieces.

No "AI-friendly" copy

You don't need to rewrite in a stilted, robot-facing style.

Structured data isn't a GEO lever

Not required, no special schema.org markup for AI visibility.

llms.txt

What about llms.txt?

Google's position

Google Search ignores llms.txt entirely, on the record. No special treatment in AI Overviews or AI Mode.

The broader picture

No major AI provider — OpenAI, Anthropic, or Perplexity — has confirmed their assistant reads llms.txt to decide what to cite.

The genuine, documented use case: coding agents and MCP-based tools read llms.txt for token efficiency. That's real — it's just not the same thing as winning a citation in a chat answer.

"Google confirming its own rules doesn't tell you anything about theirs."

92%
ChatGPT referral share
64x
Claude referral growth
-61%
Perplexity vs peak
-96%
Copilot vs 2025 high
platform breakdown

What each platform seems to actually look for

Inferred from subprocessor disclosures, citation-overlap testing, and field research.

ChatGPT

Bing-primary, plus OAI-SearchBot and an undocumented Google habit.

Perplexity

Own real-time index, leans on community & vertical sources.

Gemini app

Separate product, separate infrastructure — not covered by the Search guide.

Claude

Evidence points to Brave Search as the retrieval backend.

AI Overviews / Mode

Google's own Search index — the one Google documents directly.

Conclusion

The takeaway

What Google's guide covers well

Free, official, confirms genuine expertise and clean technical SEO beat tricks like llms.txt or schema padding.

What it can't do

Stand in for the rest of the field. ChatGPT, Claude, and Perplexity all run on different mechanics entirely.

Frequently Asked Questions

Does Google's new guide apply to ChatGPT, Claude, or Perplexity?

No — it documents how Google's own AI Overviews and AI Mode select and cite sources, both built on Google's Search index.

Do I still need an llms.txt file?

Google ignores it outright. The other platforms haven't confirmed either way, and available evidence doesn't show a citation benefit.

Which AI platform matters most for B2B and technical audiences?

Depends on the buyer. Claude's growth has concentrated in agentic and enterprise use since late 2024.

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We know how things work, we know how to optimise for specific LLMs individually.
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