How to Write a Glossary That AI Engines Use

A glossary that AI engines use starts each entry with a one-sentence definition, then explains, gives an example and links to related terms. Definitions are among the easiest passages for engines to quote in "what is" answers. Pick terms buyers actually ask about, give important terms their own pages, keep wording consistent across your site and cite sources for facts.

Why do glossaries matter for AI answers?

"What is X?" is one of the most common question types in search and AI assistants. A clear, specific definition is a self-contained passage that engines can retrieve and quote (arXiv). A glossary also helps engines connect your brand to a topic, much like the Knowledge Graph connects entities and concepts (Google).

How do you choose terms?

Prioritise terms that are central to your category and that buyers search for.

What is the entry template?

1. Term as H1: "What is Citation Rate?"
2. Definition (1 sentence, bold): "Citation rate is the share of AI answers that link to your website as a source."
3. Explanation (2–3 paragraphs): why it matters, how it's calculated.
4. Example: a worked, labelled example.
5. Related terms: links to 3–5 entries.
6. Sources: primary sources for any facts.

What makes a definition quotable?

Strong definitions name the category ("percentage", "metric", "technique"), the distinguishing feature and any conditions.

How should you structure the glossary?

• Index page: A–Z list with one-line definitions and links.
• Term pages for important terms: 300–600 words.
• Short entries on the index for minor terms.
• Consistent URLs: /glossary/term-name.

Should you add structured data?

Schema.org has DefinedTerm and DefinedTermSet types for glossary entries. Google doesn't list DefinedTerm as a rich result type in its structured data documentation, so treat it as descriptive markup rather than a visibility feature (Google). Google says no special markup is needed for AI features (Google).

How do you keep definitions consistent?

Inconsistent definitions confuse readers and engines. If your blog defines "share of voice" one way and your docs another, an AI answer may mix them.

• Make the glossary the single source of truth.
• Link to glossary entries from blogs, docs and product pages.
• Update every page when a definition changes.
• Check AI answers for your key terms monthly.

Should you define your own branded terms?

Yes, if you've coined a term or use one in a specific way. Define it clearly, explain how it relates to standard terms and avoid claiming invented terms are industry standards. For example, if your product calls a metric "visibility score", explain which standard measures it combines, so engines and readers can map it to familiar concepts.

How do you measure whether the glossary works?

Track a small set of definition prompts, such as "What is [term]?" for your 10–20 most important terms.

What does an index entry look like?

Illustrative.

Keep index entries to one sentence, so the index itself is a useful quick reference.

How often should you add terms?

Add terms when they appear in your product, in customer conversations or in new search queries. A monthly review of Search Console "what is" queries and support tickets is usually enough. Retire or redirect entries for terms that no longer apply, rather than leaving outdated definitions online.

A quick example

Illustrative. A company in the GEO space finds AI assistants define "AI visibility" using a competitor's wording and links. It publishes a glossary with 30 entries, each with a bold one-line definition, an example and related links. It links them from its blog and product UI. Over the following months, its pages are cited more often for "what is" prompts in its category.

What mistakes should you avoid?

• Vague definitions that don't name the category
• Copying definitions from competitors or dictionaries
• Thin entries with one sentence and nothing else
• Different definitions on different pages
• Glossary pages not linked from anywhere

Checklist

• [ ] Terms chosen from search and customer data
• [ ] Each entry starts with a bold, one-sentence definition
• [ ] Examples labelled as illustrative
• [ ] Related terms linked
• [ ] Glossary linked from blog, docs and product
• [ ] Definitions reviewed when products change

Related

• How to write answer-first content
• Entity SEO for AI

Sources

• Lewis et al., Retrieval-Augmented Generation, 2020
• Google, Introducing the Knowledge Graph, 16 May 2012
• Google Search Central, Introduction to structured data
• Google Search Central, AI features and your website
• Schema.org, DefinedTerm