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Entity Coverage
Definition
Entity Coverage
Entity coverage measures how well your brand or product is recognized as a distinct entity in knowledge bases used by AI.
TL;DR
Key Definition
An entity is an identifiable thing: company, product, person. AI uses knowledge graphs to understand relationships between entities. Good entity coverage means AI "knows" your brand.
Importance
Why It Matters
- Recognized entities are cited more precisely
- Improves disambiguation (avoids confusion with homonyms)
- Strengthens associations (your brand + your sector)
- Influences AI recommendations
How It Works
AI builds knowledge graphs from structured and unstructured data.
Data Sources
Wikipedia, Wikidata, schema.org, business directories, press: AI aggregates these sources.
Entity Attributes
Each entity has attributes: name, type, description, relationships. The more complete your attributes, the better the coverage.
Metrics
How to Measure It
- Presence in Google Knowledge Graph
- Existing Wikidata page
- Information consistency between sources
- "Who is [brand]" queries well answered by AI
Pitfalls
Common Mistakes
- Inconsistent information between sources
- Missing schema.org Organization
- Ambiguous brand name without context
- Lack of presence on authoritative sources
Quick Checklist
Follow these steps to get started.
- Check your Wikidata presence
- Implement schema.org Organization
- Harmonize your information across all sources
- Create content clearly defining your entity
- Get mentions on authoritative sources
Examples
Google Knowledge Panel
When you search your brand on Google and a knowledge panel appears on the right, your entity coverage is established.