What is GEO (Generative Engine Optimization)?
GEO is the practice of optimizing content so that generative engines such as ChatGPT, Claude and Perplexity surface and cite it in their answers.
Published
Definition
GEO (Generative Engine Optimization) is the practice of optimizing content so that generative engines — ChatGPT, Claude, Perplexity, AI Overviews — surface and cite it when they answer a question.
Why It Matters for AI Visibility
SEO optimizes for a list of links. GEO optimizes for a synthesized answer, and the two reward different things.
In search, a page competes for a position. In a generative answer, a page competes to be used: retrieved, parsed, trusted enough to be attributed. Keyword placement matters much less; structure, explicit claims and verifiable sourcing matter much more. A page can rank on page one and never be cited, and a page nobody ranks can be cited constantly because it happens to answer a narrow question cleanly.
GEO also has no reliable feedback loop yet. There is no rank tracker for “was I in the answer”, which is why measurement tends to be indirect — readiness scores, citation spot-checks, crawler access tests.
Example
The same page, two lenses:
- SEO question: does it rank for “llms.txt generator”?
- GEO question: if someone asks an assistant “how do I create an llms.txt file”, is this page one of the sources it names?