Entity model
A small, stable set of entities (problems, use cases, roles/personas, industries, etc.) and their fields/relationships that power content, analytics, automation, and LLM retrieval.
Last updated: December 12, 2025
Definition
A small, stable set of entities (problems, use cases, roles/personas, industries, etc.) and their fields/relationships that power content, analytics, automation, and LLM retrieval.
In practice
- Model problems/use cases/personas explicitly, and have pages + signals reference those entities.
- Prefer fewer, more reusable entities that many pages link to over thousands of brittle records.
Common mistakes
- Using unstructured labels everywhere (“random tags”) instead of a typed entity model.
- Separating “content taxonomy” from “CRM taxonomy” so automation can’t use the same concepts.
Related terms
- Programmatic content (in GTM30) — A structured system (not a pile of long-tail pages) that turns your website into: a discoverability layer, a single source of truth for your narrative, and a data layer for automation, CRM, and LLMs.
- pSEO (programmatic SEO) — Programmatic content page generation driven by a stable entity model and templates — designed to produce canonical, indexable pages that emit consistent signals.
- Entity — A canonical concept in your model (e.g. a problem, use case, persona, integration) that many pages and systems reference — the unit that keeps narrative, links, and signals consistent.
- Traits — Machine-readable tags derived from page views and behavior (tied to entities) that feed analytics, automation, and CRM without manual interpretation.
- Structured data (JSON-LD) — Machine-readable page metadata (schema.org) embedded in pages so crawlers and LLMs can reliably interpret content types, entities, and relationships.
- LLM readiness / LLM visibility — Designing pages so LLMs can retrieve and summarize accurate answers from canonical, structured sources (clear headings, consistent sections, and entity-keyed content).