What is Entity Recognition?
TL;DR
Entity recognition is the AI process of identifying and categorizing named things (people, companies, products, places) in web content to build structured understanding.
Last updated: 2026-03-09
Definition#
Entity recognition (also called Named Entity Recognition or NER) is the process by which AI models identify and classify named things in text. These things include people, organizations, products, locations, dates, monetary values, and other specific concepts.
When an AI model reads your web page, it does not just see words. It identifies entities: "Acme Corp" is an Organization, "Portland" is a Location, "$29.99" is a Price, and "Dr. Sarah Chen" is a Person. These entities help the model build a structured understanding of your content.
You can help AI models by making your entities explicit through structured data and clear, unambiguous writing. When your content clearly identifies who, what, where, when, and how much, AI models can extract facts with confidence.
Why It Matters for AI Readiness#
Strong entity recognition means AI models understand your content at a deep level. This directly affects whether your site is cited for specific queries. The AgentReady™ scanner evaluates entity clarity through the Topic Clarity factor.
Use Schema.org markup to make your entities explicit. Write clearly and consistently use full names and proper nouns.
Related Concepts#
Entity recognition is supported by Structured Data and Schema.org. It contributes to Topic Clarity and helps AI models build the knowledge graphs used in RAG systems.
Related Pages
Was this page helpful?