What is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the practice of structuring your content, data, and reputation so that AI systems — like ChatGPT, Perplexity, Gemini, and Google's AI Overviews — recommend and cite your business when people ask. Where traditional SEO earns you a ranked link, GEO earns you a mention inside the AI's answer.

Why GEO exists

Search behavior is shifting from "list me ten links" to "just tell me the answer." When someone asks an AI assistant for a recommendation, the model returns a short, synthesized answer that names a few businesses and stops. If your business isn't named, the customer never sees you — and there's no second page to scroll to. GEO is how you become one of the names.

GEO vs SEO: what's the difference?

• SEO optimizes for rankings — appearing high on a results page of links.
• GEO optimizes for citations — being named and linked inside an AI-generated answer.

They aren't rivals. GEO is built on top of SEO: the same clarity, structure, and authority that help you rank also help an AI trust and quote you. You need both. (For the relationship between GEO and AEO, see AEO vs SEO.)

How AI engines choose who to cite

No two engines are identical, but in practice they reward the same things:

• Clarity of entity — can the engine tell exactly who you are, what you do, and where?
• Structured, quotable content — clear answers to real questions, easy to lift verbatim.
• Machine-readable signals — schema markup (Organization, Service, FAQ, LocalBusiness).
• Corroboration — consistent mentions across other trustworthy sources.

How to start with GEO

1. Make your core facts unambiguous and consistent everywhere (name, services, location).
2. Write clear question-and-answer content for the things customers actually ask.
3. Add structured data so engines can parse you with confidence.
4. Build third-party corroboration — reviews, citations, mentions.
5. Measure it: check whether the engines actually name you, and improve over time.