Generative Engine Optimization
Short answer
Generative engine optimization (GEO) is the practice of getting a page used as a source inside generated results such as Google AI Overviews and AI Mode. It rests on the same foundation as search — indexable, snippet-eligible pages — and adds structure that makes a passage safe to quote out of context.
GEO is about being the source a generated summary draws on, not the link someone clicks.
What the engagement covers
- Eligibility
- A page must be indexed and eligible to appear with a snippet. Google states there are no additional technical requirements beyond that.
- Topic coverage
- Generated results fan a single question out across subtopics, so comprehensive coverage beats a page tuned to one keyword.
- Passage integrity
- Every section has to make sense lifted out of the page. Pronouns pointing back at a heading are the most common failure.
- Freshness signals
- Visible published and modified dates, in the body and in schema.
How it runs
- Confirm the pages are crawlable and snippet-eligible.
- Map the subtopics a fan-out query would generate.
- Rewrite so each section stands alone.
- Measure presence in generated summaries, not just position.
Frequently asked
Is GEO a separate discipline from SEO?
Mostly no. Google has documented that no special optimisation is required to appear in AI Overviews or AI Mode. Where GEO adds something is in writing for extraction rather than for a click, and in measuring presence in summaries rather than position in a list.
Does GEO replace ranking?
It sits on top of it. A page that cannot rank generally cannot be drawn on either, because eligibility for both runs through the same index.
How do you measure it?
By sampling the queries that matter to you and recording which sources the generated summary uses, dated, over time.
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