Generative engine optimisation, or GEO, is the practice of making a website one of the sources a generative answer engine draws on when it composes a reply. Where classic SEO competes for a position in a list, GEO competes for inclusion in an answer that may never show a list at all. The deliverable is a citation and a mention, not a rank.
It matters because the shortlist has moved. A buyer asking ChatGPT, Perplexity or Google's AI Mode to compare options gets three or four named sources, and the rest of the web is simply absent from that moment. Being on page one is no longer the same thing as being in the running.
The mechanics are different from ranking too. Most generative answers are built by retrieval: the engine searches, fetches a small number of pages, and writes from passages inside them. That means the unit of optimisation is the passage, not the page. A page that answers in its first lines, in clean prose, with facts that can be checked elsewhere, is far easier to lift from than one that takes six paragraphs to get to the point.
The second mechanic is corroboration. Models weigh what independent sources say about you, not only what you say about yourself. If your own site and the rest of the web disagree about what you do, the engine resolves the conflict by using something it trusts more, which is usually a directory or a competitor. Fixing that disagreement is unglamorous and it is often where the biggest gain sits.