What is Entity?
A distinct thing (brand, person, product) an engine can recognize.
An entity is a uniquely identifiable thing, your company, a product, a person, that engines track in a knowledge graph rather than as a string of words. Strong entity signals (consistent naming, structured data, sameAs links, corroboration) help an engine be confident who you are and cite you accurately.
Weak entity signals are a common reason a brand is mentioned vaguely but not cited, or described incorrectly. Entity markup is part of CiteTrack’s GEO toolkit.
Why — and when — does it matter?
Clear entity identity prevents engines from merging similar names, missing relationships or repeating outdated facts about a brand, person or product.
How it works
Choose one canonical name and identifier.
Define type, attributes and relationships.
Use consistent facts across owned profiles.
Connect authoritative sameAs references.
Monitor answers for ambiguity and outdated claims.
Worked example
Two companies share a product name. Organization and Product markup, official profiles and consistent location data help the engine attribute reviews and claims to the correct business.
How to track and report it
Reporting rule: State the engine, prompt set, market, time window and denominator. A number without scope cannot be reproduced or compared.
Practical playbook
- Choose one canonical name and identifier.
- Define type, attributes and relationships.
- Use consistent facts across owned profiles.
- Connect authoritative sameAs references.
- Monitor answers for ambiguity and outdated claims.
Common mistakes
- Using sameAs for merely related pages
- Maintaining conflicting facts
- Treating a keyword as an entity
Questions people ask
What is Entity?
A distinct thing (brand, person, product) an engine can recognize. Clear entity identity prevents engines from merging similar names, missing relationships or repeating outdated facts about a brand, person or product.
How does Entity work?
Choose one canonical name and identifier. Define type, attributes and relationships. Use consistent facts across owned profiles. Connect authoritative sameAs references. Monitor answers for ambiguity and outdated claims.
How do you measure Entity?
Entity consistency and correct answer identification. Knowledge-panel accuracy and ambiguous-mention rate. Consistency rate = matching critical facts ÷ critical facts checked across sources × 100
What is a common mistake with Entity?
Using sameAs for merely related pages. The scope and methodology should be stated before interpreting the result.
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