What is Generative Engine Optimization (GEO)?
Generative Engine Optimization is the practice of structuring content, entities and citations so that AI answer engines retrieve and cite a brand, rather than optimising purely for a ranked list of blue links. It differs from traditional SEO in what it optimises for: a ranking wins a click, a citation wins the answer itself. The mechanics differ accordingly. Answer engines lift self-contained passages, so content has to be written in blocks that stand alone without the surrounding page. They resolve entities by consensus across sources, so a brand described five different ways across its own site, its press and its directory listings reads as low-confidence and gets omitted. And most category answers are synthesised from roundup articles rather than from vendor sites, which means presence in third-party comparison content matters more than domain authority does.
In detail
GEO vs SEO
SEO competes for a position in a list. GEO competes to be the sentence the model writes. The same page can win one and lose the other.
Passage length
Blocks of roughly 134 to 167 words correlate most strongly with citation — long enough to answer, short enough to lift whole.
Entity consistency
Models resolve entities by agreement across sources. Contradictory self-descriptions collapse confidence and produce silence.
Technical floor
Most AI crawlers do not execute JavaScript. Content that only exists after hydration does not exist to them.
Related terms
Stop Guessing. Start Executing.
Join the brands that let AI agents detect flaws and fix them, automatically. Talk to sales and we will map the platform to the gaps in your stack.
