What is GEO?
Generative engine optimisation, explained. Why it now sits beside classic SEO, how it differs, and what actually makes content citable by AI.
GEO versus SEO
SEO aims to rank in the classic list of search results. GEO aims to be the source an AI quotes or recommends when it writes an answer. A user might never see ten blue links; they read one synthesised answer and act on it. GEO is how you get named in that answer.
Why GEO matters now
A growing share of searches end inside an AI answer, and buyers ask assistants directly which product to choose. If your competitor is cited and you are not, you lose the recommendation before the user ever reaches a website. GEO is the discipline of not being invisible in that layer.
What makes content citable by AI
- Answer-first structure. Lead with a clear, quotable answer, then support it.
- Self-contained passages. Each chunk should make sense lifted out on its own.
- Clear definitions. Define terms plainly, the way an AI likes to quote.
- Sourced facts and numbers. Concrete, attributable claims are easier to cite.
- Comparison tables. Structured data an AI can read and summarise.
- Entity consistency. Describe your brand the same way across the web.
This page uses those signals on purpose, which is also how a native GEO tool writes.
GEO and related terms
You will see GEO used alongside AEO (answer engine optimisation) and looser phrases like AI SEO. They point at the same shift: content optimised for AI-generated answers, not only for a ranked list. See the AI SEO glossary for precise definitions.
How tools help with GEO
Some tools produce content built with these signals (native GEO), others only track how often you appear in AI answers. Producing citable content is what improves visibility; tracking only measures it. Our best GEO tool comparison separates the two camps.
See the output before you commit
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