Surfaced AI

How does Gemini choose which sources to use?

It leans heavily on Google Search grounding, so classic crawlability plus strong entity and structured-data signals matter most.

Gemini is the closest of the major assistants to traditional search infrastructure. Answers are frequently grounded in Google Search results, which means being indexable is a prerequisite rather than an optimisation.

On top of that, Gemini responds well to explicit structure. Schema.org markup, clean heading hierarchy, and unambiguous entity signals all help it associate content with the right thing.

Because of the Search dependency, the classic checklist genuinely applies here: indexable pages, a working sitemap, sensible titles and descriptions, reasonable performance.

The AI-specific layer sits on top — answer-first passages and question-shaped headings make your content easier to lift once it has been retrieved.

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More in this category

Does structured data help with Gemini?Yes — it is one of the more direct levers, because it states facts explicitly instead of leaving them to be inferred.How does Gemini recognise my brand as a distinct entity?By finding the same name, category, and attributes stated consistently across your site and corroborated elsewhere.How do I show up in Google AI Overviews?Be indexed and eligible in ordinary Search first, then make your passages easy to extract as a direct answer.Which schema types matter most for AI visibility?Organization, FAQPage, and Review for most software sites — plus Person if a founder is part of the story.
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