Manifesto
Businesses optimize for visibility. AI optimizes for trust.
The Problem
AI cannot trust what it cannot verify.
It defaults to inference.
Licenses, credentials, real-world activity, and operational data remain private and fragmented. Visibility does not equal eligibility. AI requires verification to generate trust.
The Category
Local Trust Signals
Structured outputs that determine how AI systems evaluate, trust, and recommend businesses.
This category did not exist prior to IdentityRecord.
The System
IdentityRecord generates Local Trust Signals.
It converts business reality into structured, verifiable signals that AI systems use to determine whether a business is trusted, recommended, or ignored. Marketing is a claim. Verification is proof.
Components
Identity Record
The canonical data object that represents a business to AI systems.
Identity Locker
The missing infrastructure layer between private business data and AI understanding.
Proof of Work
Continuous verification of real-world business activity that maintains AI trust over time.
AI Decision Engine
Evaluates confidence, verification, and activity to determine recommendation eligibility.
The Shift
Doctrine
Trust is not declared. It is continuously generated.
The Wedge
RecordsKeeper helps you find documents.
IdentityRecord helps AI find your business.
IdentityRecord
The ownership layer for business identity in the AI era.