ARTIP
Artificial Trust & Interpretation Protocol
The Evidence Layer for the AI-First Internet.
As AI-powered search, assistants, and recommendation engines become the first touchpoint for discovery, visibility alone is no longer enough.
→ Evidence people can trust (ARTIP)
→ Audits AI can interpret (AIR)
→ Data machines can understand (SMAMD)
The Three-Layer Trust Stack
ARTIP
Artificial Trust & Interpretation Protocol
The evidence logging framework that captures proof, outcomes, records, claims, authority signals, and trust indicators.
Purpose
Create machine-readable trust.
AIR
AI Interpretation Readiness
- ✓ Can AI understand what you do?
- ✓ Can AI explain your business?
- ✓ Can AI identify your expertise?
- ✓ Can AI retrieve your value proposition?
SMAMD
Schema Markup and Machine-readable Data
- ✓ Machine-readable information
- ✓ Structured business knowledge
- ✓ AI retrieval optimization
- ✓ Verifiable organizational data
Why ARTIP Exists
Traditional SEO was built for search engines.
The next generation of discovery is powered by AI systems that evaluate trust, interpret evidence, retrieve meaning, and build understanding.
ARTIP helps organizations prepare for that future.
The AI Visibility Formula
ARTIP
Provides the evidence.
AIR
Measures interpretation.
SMAMD
Structures knowledge.
Start Building AI Trust
Choose where you want to begin.
Damiedaiz Framework Note
ARTIP is not an audit.
ARTIP is not metadata.
ARTIP is the Evidence Layer.
AIR evaluates interpretation.
SMAMD structures knowledge.
Together they help businesses become understandable, verifiable, and discoverable in an AI-first world.