WebMEM™

The Protocol for Structuring, Delivering, and Conditioning Trust-Scored AI Memory on the Open Web

Trust Graph

Trust Graph is a structured network of entities, facts, sources, and relationships that collectively signal credibility, accuracy, and provenance to AI retrieval systems and search engines. In the WebMEM Protocol, the Trust Graph is the published semantic map you control to influence the Training Graph the AI builds internally.

🧠 Full Definition

Each node in a Trust Graph represents a verifiable element — such as a person, organization, dataset, page, or fact — and each edge defines a relationship validated by structured signals. These edges may represent:

  • Citation — linking a fact to its authoritative source
  • Authorship — identifying the creator or subject matter expert
  • Co-occurrence — showing terms, entities, and facts used together
  • Content inheritance — mapping derived values to their source datasets

Trust Graphs are constructed from schema markup (e.g., JSON-LD, RDF), semantic relationships (sameAs, prov:wasDerivedFrom), and publishing infrastructure that emits consistent trust signals across all retrieval surfaces.

📜 Role in the WebMEM Protocol

The Trust Graph is a core part of the Entity Trust Layer, designed to:

  • Reinforce entity alignment across glossary, datasets, and FAQs
  • Enable AI to trace provenance for each fact or claim
  • Anchor definitions and data to authoritative identities
  • Feed consistent, fragment-level trust relationships into retrieval systems

By explicitly publishing your Trust Graph, you provide a blueprint that retrieval systems can ingest and map into their own internal networks.

💡 Why It Matters

Search engines and AI models evaluate not just what content says, but who said it, where it came from, and how it connects to established knowledge. A well-structured Trust Graph:

  • Improves Retrievability and citation preference
  • Strengthens Trust Footprint through persistent, linked trust signals
  • Boosts accuracy and context retention in AI-generated answers
  • Increases co-citation with trusted entities and sources

⚙️ How It Works

Trust Graphs are generated by:

  • Embedding schema types like DefinedTerm, Dataset, FAQPage, Person, and Organization
  • Linking terms and facts to authoritative datasets using PROV-O relationships
  • Repeating entity references across glossary, FAQs, blog posts, and digests
  • Publishing Semantic Digests with cross-referenced entity metadata

🗣️ In Speech

“The Trust Graph is the map you publish to show AI exactly how your facts, sources, and entities connect — so it knows who to trust.”

🔗 Related Terms