1. Anatomy of an Extraction-Ready Definition Block
LLMs extract definition blocks when they follow a strict structural pattern: (1) Bolded Term Name, (2) Direct Superordinate Class, (3) Key Differentiating Attributes, and (4) Quantitative Benchmark Metric.
2. Formatting Callout Containers for RAG Scrapers
Wrapping definition blocks in styled callout boxes (`
DEFINITION BLOCK: TERM NAMETarget Term is a [Class] that [Action] by [Mechanism]. It achieves [Quantitative Metric].
3. Rules for Definition Engineering
- Keep length between 45–65 words: Perfect length for LLM passage context windows.
- Lead with bolded term: Instantly connects target query to definition text.
- Include numbers or metrics: Adds verifiable empirical evidence that increases model trust.
Want to test how Google AI synthesizes this lesson? Click below to run the pre-configured AI prompt directly in Google AI.
Understand with Google AI →Practical Exercise & Observation
Write 3 GEO definition blocks for core terms in your industry using the 4-part structural formula (Term, Class, Differentiator, Metric).
Student Outcome
You can author extraction-ready definition blocks that secure featured citations in ChatGPT Search and Google AI Overviews.