People also ask
In practice
Answer systems handle definitional intent conservatively: when a buyer asks “what is X”, the engine wants a correct, quotable statement — which makes the definition layer the most stable surface in GEO (definitional prompts show the highest answer stability across intents, far above recommendation-type prompts that re-roll with every run).
Owning a definition means being the source the retrieval layer finds and the passage the engine lifts: the term stated in the first sentence, the explanation that follows without marketing, the context that distinguishes your definition from the ten others — and the authority layer (links, mentions, entity corroboration) that makes yours the version worth trusting. The vocabulary opportunity is specific: every category has its own terms — the comparisons it runs on, the methods it sells, the concepts its buyers must learn — and each term is a definition page that can be owned.
The programme’s glossary is this strategy at scale: 260 terms covering the buyer’s working vocabulary, each entry a standalone answer with its own URL. The design rules: definition in the first sentence (the extraction target), the body earning the depth (examples, distinctions, related terms), the page maintained as the term’s meaning moves, and the schema typing it so machines can quote it cleanly.
What definition content is not: a keyword play on high-volume “what is” queries alone — it is the brand’s claim to teach its own category, which is why the citations it earns carry the brand’s name as the authority, not just as a source.
See also: Excerpt-worthy paragraphs, Topical authority, Content formats AI engines quote most.
Related service: Brand mentions.
