Generative Engine Optimization (GEO) is the practice of optimizing your brand, content, and digital presence so that generative AI engines recommend and cite you when someone asks a buying-intent question. When a prospect asks ChatGPT for the best firm in your category, GEO determines whether your name is in the answer.
Why GEO exists
Search behavior has changed. A large and growing share of buyers now begin research by asking an AI assistant rather than typing into a search box. The assistant does not return ten links — it returns a synthesized answer, often naming a short list of options. If you are not in that answer, you are not in the consideration set.
How generative engines choose what to say
Language models assemble answers from their training data, content they retrieve at query time, and the entities and sources they treat as authoritative. Three things therefore drive whether you appear:
- Entity recognition — does the model clearly understand who you are and what you do?
- Authoritative citations — do credible sources describe you consistently across the web?
- Retrievable, structured content — is your material easy for a model to parse, trust, and cite?
GEO optimizes for being the answer — not just ranking near it.
GEO is not a replacement for SEO
Many GEO signals also strengthen traditional rankings, and conventional search is not going away. The two disciplines are complementary: SEO to own the ranked results, GEO to own the AI-generated answer. Treating them as one integrated visibility system is what produces durable results.
If you are new to the topic, continue with our guide to the differences between GEO and SEO, or see how AI visibility is measured and built.