Generative Engine
An AI engine that generates an original answer by composing across many sources.
What is a generative engine?
A generative engine is an AI engine that produces an original, composed answer by drawing on a large language model and, often, retrieved sources — rather than retrieving a single existing document. It is the surface GEO targets.
A generative engine writes the answer; that authorship is precisely why being a quotable source matters.
Where a retrieval system finds the best existing page, a generative engine composes a new passage of text on the fly, blending what its model knows with what it can fetch. The output is original prose, which means there is no single page to "rank" — there are only sources the engine chose to lean on while writing.
This is the home turf of Generative Engine Optimization. To influence a generative engine you must supply content it will draw from: clear definitions, well-structured pillars, statistics and citations it can incorporate. If the engine cannot find a source that frames your angle, it will compose the answer without you.
Generative engines and answer engines overlap heavily — most modern answer engines are generative — but the term emphasises the composition step. SkuLift measures how often a generative engine’s output references your brand, separating what the model recalls from memory (parametric) from what it pulls live from the web (web-grounded).