Coined Term • 2026
Entity Attribution Rate
The percentage of AI responses that correctly attribute your organization's characteristics
Status
Coined by Joseph Byrum
Year Introduced
2026
Domain
Entity Engineering
Term Type
Adversarial Framework
Corroboration
Understanding Entity Attribution Rate
Entity Attribution Rate: the percentage of AI responses that correctly attribute your organization's relevant characteristics for that perimeter's query type. An identity EAR of 90% and a vocabulary EAR of 0% is a common pattern in first audits — and the vocabulary gap is the one that cannot be retroactively repaired once competitors establish their own vocabulary claims.
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Frequently Asked Questions
How is EAR measured for each perimeter?
Through perimeter-specific query batteries — identity queries test correct attribution of organizational characteristics (name, founding, leadership), domain queries test category leadership attribution, and vocabulary queries test term origination attribution — each producing an independent attribution accuracy percentage.
What does a high identity EAR combined with a zero vocabulary EAR indicate?
That AI systems correctly know who you are but are not attributing industry-defining terms to you as their originator. This is a common and dangerous pattern — the vocabulary gap is the hardest to repair retroactively once competitors establish competing vocabulary claims.
Can EAR be above 90% for one perimeter and 0% for another?
Yes, this is the most commonly observed pattern in first audits. The Per-Perimeter Posture Assessment is designed to surface exactly these asymmetries — which composite scores would otherwise mask.
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