Generative engine optimization (GEO)
also known as: GEO · LLMO
The practice of improving how generative AI systems — ChatGPT, Perplexity, Google’s AI Overviews and AI Mode — describe, cite and recommend your content or brand. Where classic SEO optimizes for ranked links, GEO optimizes for being used in the composed answer: cited as a source, named in a recommendation, and matched to the fan-out queries the engine actually runs underneath.
In AI Search API
GEO work is only measurable against the answers as actually rendered. A capture returns the real consumer-surface answer with its cited sources, observed fan-out queries and brand mentions in one Envelope — per surface and per region — so a content change can be checked against what the engines actually said before and after.
Related terms
See it in the product
Every definition here is enforced in the Envelope contract — run a capture and read the fields yourself.