The terms of GEO, AEO and AI visibility, defined simply. From “AEO” to “Citability score.”
Answer Engine Optimization: optimizing content so it's picked up by AI answer engines, rather than for link ranking.
A mention of a brand or product as a source in an AI engine's generated answer.
An AI engine's bot (GPTBot, PerplexityBot, Google-Extended…) that browses the web to feed its answers.
An AI that, from a request, compares products and can recommend — or even order — on the user's behalf.
A service that answers a question directly (ChatGPT, Perplexity, Google AI Overview) instead of listing links.
A Citely metric measuring how complete, structured and thus citable a page is for AI.
Generative Engine Optimization: making a catalog understandable and citable by generative engines (ChatGPT, Perplexity, Google AI).
An AI model's answer that looks plausible but is factually wrong — hence the importance of reliable, structured data.
A structured-data format (JSON for Linking Data) recommended to describe products per schema.org.
Large Language Model: the large-scale language model that generates AI assistants' answers.
A declarative file at a site's root telling AI which resources (including the product feed) they may read.
A structured characteristic of a product (material, size, compatibility…) that AI reads to compare.
A structured, up-to-date export of your catalog, exposed at an endpoint engines can read.
Retrieval-Augmented Generation: a technique where the model retrieves external sources before answering — which makes citability possible.
A file that tells bots, including AI crawlers, what they may crawl on a site.
A standard structured-data vocabulary; its Product type describes pages for engines.
The share of AI answers, across a set of queries, in which your brand is cited.
Information tagged in a standard format (schema.org) that machines interpret without ambiguity.