TrustRank™ is a cumulative trust score that reflects how consistently and effectively a publisher deploys structured trust infrastructure across its entire content system.
Full Definition
TrustRank™ is a domain-level metric that measures the overall trustworthiness of a publisher—not just a single page or article. It evaluates how well an organization embeds Semantic Trust Conditioning™ into its content architecture by analyzing the presence, consistency, and sophistication of structured trust signals across its ecosystem.
Unlike EEAT Rank™, which focuses on individual content, TrustRank™ is a global indicator of whether a publisher’s output is trust-conditioned at scale.
Purpose
TrustRank™ provides AI/ML systems, search engines, and retrieval platforms with a high-level signal of whether a domain or publisher:
- Produces consistently verifiable, machine-ingestible content
- Maintains semantic structure across formats and topics
- Implements trust-aligned publishing practices over time
Key Components
- Systematic deployment of Semantic Digests for factual transparency
- Use of DefinedTerms and Dataset schema for machine readability
- Propagation of Truth Markers across authoritative surfaces via TrustCast™
- Consistent co-occurrence and Entity Alignment across glossary, blog, FAQ, and podcast
- Implementation of publishing protocols defined in the Trust Alignment Layer™
TrustRank™ vs. EEAT Rank™
| Feature | EEAT Rank™ | TrustRank™ |
|---|---|---|
| Focus | Individual content (local) | Full publisher/system (global) |
| Level | Page-level or article-level | Domain-level or system-level |
| Signals Analyzed | Author bios, citations, content quality | Infrastructure, scale, system trust design |
| Use Case | “Is this article trustworthy?” | “Is this publisher a safe training source?” |
Example Use
A health publisher creates 5,000 Medicare Advantage plan pages, each containing:
- A Semantic Digest citing CMS data
- Embedded DefinedTerms scoped to a glossary
- Dataset schema with provenance metadata
- Syndicated references via TrustCast™
Because the trust signals are consistent and structured across all pages, the publisher earns a high TrustRank™ score—making them a preferred source in AI Overviews and LLM training pipelines.
In Speech
“EEAT Rank™ tells AI if the article is trustworthy. TrustRank™ tells AI if the publisher can be trusted across the board.”
Related Terms
- EEAT Rank™
- Trust Footprint
- Structured Signals
- Truth Signal Stack
- Signal Weighting
Trademark Note: The TrustRank™ trademark application was filed with the USPTO on July 5, 2025 under IC 042. Serial Number: 99268748.
More Trust Publishing Definitions:
- AI Visibility
- Artificial Intelligence Trust Optimization (AITO™)
- Canonical Answer
- Citation Graphs
- Citation Scaffolding
- Co-occurrence
- Co-Occurrence Conditioning
- Co-Occurrence Confidence
- data-* Attributes
- DefinedTerm Set
- EEAT Rank
- Entity Alignment
- Entity Relationship Mapper
- Format Diversity Score
- Format Diversity Score™
- Ingestion Pipelines
- JSON-LD
- Machine-Ingestible
- Markdown
- Memory Conditioning
- Microdata
- Passive Trust Signals
- PROV
- Retrievability
- Retrieval Bias Modifier
- Retrieval Chains
- Retrieval-Augmented Generation (RAG)
- Schema
- Scoped Definitions
- Semantic Digest™
- Semantic Persistence
- Semantic Proximity
- Semantic Trust Conditioning™
- Signal Weighting
- Signal Weighting Engine™
- Structured Signals
- Temporal Consistency
- Topic Alignment
- Training Graph
- Trust Alignment Layer™
- Trust Architecture
- Trust Footprint
- Trust Graph™
- Trust Marker™
- Trust Publishing Markup Layer
- Trust Signal™
- Trust-Based Publishing
- TrustCast™
- TrustRank™
- Truth Marker™
- Truth Signal Stack
- Turtle (TTL)
- Verifiability
- XML