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 whatever sources and sub-queries it cited inline, 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.