Generative Engine Optimization

What is GEO?

The work of making a brand easy for AI search to find, understand, trust and cite.

Definition

Generative Engine Optimization (GEO) is the practice of making a brand present, accurate and preferred in the answers that generative AI platforms such as ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews compose for users. Where SEO competes for a position on a results page, GEO competes to be the claim an engine chooses to repeat and the source it chooses to cite.

GEO builds on SEO rather than replacing it: pages still have to be crawlable, structured and authoritative. It adds three concerns SEO never had to answer directly. Does the engine understand the brand consistently across sources? Does it have evidence it can lift into an answer? Is the brand’s content the kind an engine cites?

Why it matters

Buyers increasingly read one composed answer instead of comparing websites, so a brand that is absent from the answer is absent from the shortlist, whatever its search ranking.

How it is measured

GEO is measured on a fixed set of buyer questions run on each AI platform over time: AI Visibility, citation share, narrative accuracy and competitor gap. flowgen AI Visibility gives a first reading from one website address.

Measure GEO for your brand Perplexity ChatGPT Claude Gemini Microsoft Copilot DeepSeek Google AI Overviews

A first reading from one website address, with the questions behind the number.