GEO (Generative Engine Optimization)
Producing new content designed to be referenced by conversational AI engines.
What is GEO?
Generative Engine Optimization (GEO) is the practice of producing new content designed to be referenced by conversational AI engines. It is distinct from AEO, which targets content that already exists.
GEO is the creation half of AI visibility: where AEO sharpens what you own, GEO commissions what you are missing.
Generative engines answer by composing across many sources. To be cited you often need content the engine cannot find anywhere else: a clear definition of a term you coined, a pillar page on a question nobody has answered well, a comparison that names real alternatives. GEO is the deliberate production of those net-new assets.
GEO is grounded in the methodology presented at KDD 2024, which showed that structure, citations and statistics raise the odds an engine quotes a passage. SkuLift turns those findings into a repeatable authoring pipeline: brand-as-author framing, answer-first openers, entity markup and a knowledge-base citation contract before anything is published.
GEO and AEO are not rivals — they are the two motions of one loop. The Share of Voice measurement layer tells you which gaps justify new content (GEO) and which existing pages merely need re-optimising (AEO), so the budget goes where citations actually move.