What's the single highest-leverage change for an existing glossary?

Rewrite the opening sentence of every entry so it stands alone as a complete, quotable definition. Most glossaries bury the definition after a sentence or two of brand framing, which is exactly the part AI retrieval systems skip past or never chunk together with the answer.

Do glossary pages need to be long to earn AI citations?

No. 150 to 350 words per entry is the sweet spot. Longer entries dilute the definition among tangential content, while entries with only a bare definition give a model nothing beyond a one-line mention. Add one data point or example, then link out for depth.

Should I use DefinedTerm schema or FAQPage schema for glossary entries?

Use DefinedTerm for standard "what is X" entries and FAQPage for entries phrased as a direct question. Both help AI parsers identify extractable, self-contained content worth quoting. They're not mutually exclusive on the same page if the structure genuinely supports both formats at once.

Is it worth adding schema markup if FAQ rich results are gone from Google?

Yes. The May 2026 removal only affects the visual rich-result display in Google's SERP results page. AI crawlers for ChatGPT, Perplexity, and Google AI Overviews still parse the underlying schema to understand content structure, so the extraction benefit is unaffected either way.

How do I compete with Wikipedia for definitional queries?

You generally don't beat Wikipedia on breadth, but you can beat it on specificity, currency, and named examples. AI engines prefer the more precise, recently updated source for narrow or industry-specific terms, which is exactly where a brand glossary has an edge over a general encyclopedia entry.

How often should glossary entries be updated?

Quarterly full audits with monthly light passes on high-priority terms is a reasonable cadence. Add a current data point or refresh an example whenever the underlying facts change, and always update the visible last-updated date alongside the schema's dateModified field.

Can a knowledge base hurt AI citation if it's structured poorly?

Yes. Orphaned pages with no internal links, JavaScript-only rendering, and mega-pages covering ten terms at once all make content harder for retrieval systems to chunk and score. Poor structure doesn't just fail to help, it can actively bury otherwise good definitions.

How do I know if my glossary is actually getting cited by AI engines?

Manual prompting across ChatGPT, Claude, Gemini, and Perplexity works for a handful of terms, but a monitoring tool like Promptive is necessary to track citation rate, share of voice, and sentiment across your full glossary at scale, updated on an ongoing basis rather than a one-time check.

How to Optimize Glossaries and Knowledge Bases for AI Citation