The Agentic Endorsement Score™
A single number for the question every business will be asked: does AI endorse you? The score measures how ready a business is to be named and recommended by AI assistants — graded against the specification, verified from the outside.
01 / STATUS
The full scoring methodology — weights, measurement windows, and re-scoring cadence — publishes here in Q1 2027. The principles below are fixed now and will not change.
02 / THE PRINCIPLES
Published before the methodology, fixed for its lifetime. A score that can be bought is worthless to the agent reading it.
01 /
Transparent
The methodology is public. Every component of a score traces to a published criterion of the specification, and anyone can read how the number was produced.
02 /
Not for sale
A score cannot be bought, sponsored, or negotiated. There is no paid tier that changes a number. The only way to move a score is to change what AI systems can verify about the business.
03 /
Externally verifiable
Every input is observable from outside the business — public discovery surfaces, structured data, and what AI assistants actually answer. No self-attestation, no private questionnaires.
04 /
Dated and re-scored
A score is a measurement, not a trophy. Every score carries the date it was measured and goes stale on a published schedule. Businesses are re-scored as their surfaces change.
03 / HOW IT IS MEASURED
The score is measured by itstru.ai, the AI recommendation tracking engine, against the four criteria of the specification: machine-readable identity, provable claims, answerable surface, and current discovery data.
04 / THE INDEX
Scores aggregate into the Agentic Endorsement Index™ — annual category reports ranking the most AI-endorsed businesses by sector, built on the same published methodology.
05 / START
The methodology arrives Q1 2027. The measurement exists today.