AI & Development
Definition blocks are the single highest-impact GEO element. How to write machine-readable definitions that AI engines extract, cite.
When a user asks Perplexity or ChatGPT "what is retrieval-augmented generation?" the AI engine searches for a page that defines it - not a page that discusses it, not a page that uses the term, but a page that provides a clear, standalone, quotable definition. The page it cites most often is not the one with the most backlinks or the longest word count. It is the one whose definition is written in a format that can be extracted and reproduced accurately without context. That format is a definition block.
<dl><dt></dt><dd></dd></dl> element - that provides a concise, standalone-quotable definition of a post's primary concept, placed near the top of the page where AI crawlers extract it as an authoritative definition for "what is X" queries.Definition blocks disproportionately influence AI engine citation for one reason: "what is X" is one of the most common informational query types. Every concept your content covers - every tool, every pattern, every technique - will be searched in "what is X" form by someone. The page that provides the cleanest definition gets cited. Definition blocks make that clean extraction trivial for the AI engine - no interpretation required, no surrounding context needed.
A 2025 analysis of Perplexity's source citations across 10,000 informational queries found that pages with explicit <dl> definition blocks near the top were cited for "what is" queries at 4.2× the rate of pages that embedded their definitions in prose paragraphs - even when the prose definitions were of equal or higher quality.
A definition block that AI engines extract reliably has five properties:
Use the native HTML <dl> (description list) element rather than a styled <div> or a blockquote. AI crawlers identify <dl><dt></dt><dd></dd></dl> as a structured definition pair based on HTML semantics - not just styling:
<dl>
<dt>Retrieval-Augmented Generation (RAG)</dt>
<dd>Retrieval-Augmented Generation is a technique that queries a vector database of relevant documents at inference time and includes those documents in the model's context window, allowing a language model to answer questions about information not present in its training data without requiring fine-tuning.</dd>
</dl>
The <dt> (description term) should contain the exact phrase users search for - including the abbreviation if one exists. "Retrieval-Augmented Generation (RAG)" will match both "what is retrieval-augmented generation" and "what is RAG". The <dd> (description detail) contains the definition itself.
AI engines extract from the top of the page disproportionately. Place the definition block:
Do not place the definition in a sidebar, a callout box, or a visually styled "definition card" that uses <div> elements - these are visually prominent but semantically invisible to AI crawlers looking for structured data.
A post that introduces multiple related concepts can include multiple <dl> blocks - one per concept, placed at the beginning of the section where each concept is introduced. A post on "agent orchestration patterns" might define: the agentic loop, the supervisor pattern, and parallel agent execution - each at the start of its respective section. This makes the post the cited source for multiple related queries, not just the primary one.
| Mistake | Why it fails | Fix |
|---|---|---|
| "It is a method for..." | Pronoun reference - unquotable without context | "[Term] is a method for..." |
Definition in a <blockquote> |
Signals a quote from another source, not original definition | Use <dl><dt><dd> |
| 100+ word definition | Truncated during extraction; not quotable as-is | Edit to 40-60 words; put additional detail in following paragraph |
| Definition after the H2 sections | Extraction from top of page misses it | Move to within the first 300 words |
| "RAG, which stands for..." | Etymology, not definition - AI engines need what it does, not what it abbreviates | Lead with what it does, mention abbreviation in parentheses |
After publishing a post with a definition block, test extraction by querying "what is [your term]" in Perplexity, ChatGPT Search, and Google AI Overviews. If your definition appears, the block is working. If a competitor's definition appears, compare the two definitions against the five-property checklist above - the cited definition will almost always be more specific, shorter, and more standalone than the one that was not cited.
Allow 2-4 weeks for re-crawling after publishing or updating a definition block. AI engine indexes do not update in real time - PerplexityBot and similar crawlers typically re-crawl indexed pages every 1-3 weeks for active domains.