Definition:
A Trust Signal™ is a machine-ingestible marker of credibility embedded in content to communicate factual accuracy, authority, or provenance. In the context of Semantic Trust Conditioning™, trust signals are the structured breadcrumbs that help AI and search systems evaluate and rank information reliability.
Examples of Trust Signals:
- JSON-LD with defined Schema entities
- Dataset and citation metadata
- DefinedTerm markup with contextual anchors
- AI-generated FAQs with source attribution
- Semantic Digest Endpoints in RDF/XML/PROV
Why It Matters:
Trust Signals are the atomic units of truth that power knowledge graphs, AI training, and search engine ranking. If you’re not signaling trust explicitly, you’re invisible to AI.