Buyers used to start with a Google search. Increasingly, they start with a question to ChatGPT, Perplexity, or Google’s AI Overviews — and they get an answer before they ever click a link. Generative Engine Optimization (GEO) is the practice of making sure your brand is the answer those engines cite.
GEO in one sentence
GEO is the work of structuring your content, entities, and brand signals so that generative AI engines cite you as an authoritative source in their answers — rather than a competitor.
It’s the new layer above classic SEO. Where SEO optimizes to rank a page, GEO optimizes to be quoted inside the answer.
GEO vs. AEO vs. SEO
These three disciplines overlap but aren’t the same:
- SEO targets ranked results in Google’s blue links. Success = position and click-through.
- AEO (Answer Engine Optimization) targets direct-answer formats — featured snippets, “people also ask,” voice answers.
- GEO targets inclusion in the synthesized responses that ChatGPT, Perplexity, Claude, Gemini, and AI Overviews generate.
The fundamentals are shared — clean entities, citable structure, strong content — but the surface you’re optimizing for is different.
What signals actually move GEO
The signals shift away from the old SEO recipe of backlinks and keyword density, toward:
- Brand-mention frequency in trusted, authoritative sources.
- Entity-graph clarity — the engines need to understand who you are and what you do.
- Structured data implemented precisely (Organization, FAQPage, Article).
- Answer-ready formatting — citable definitions in the first 200 words, question-and-answer structure, atomized facts.
Why B2B teams can’t ignore it
In many B2B categories, buyers now research vendors in an LLM before they ever run a Google search. If you’re invisible there, you’re invisible at the exact moment a shortlist is being formed. GEO is how you get on that shortlist.
Want to see where the AI engines cite you today? Our AI Search Optimization service starts with a citation audit.