Machine Trust Score: Measuring Trust Signals Beyond Domain Authority

Domain Authority is a third-party link-equity proxy, while SiteNexis Machine Trust is a separate diagnostic of trust-related evidence characteristics. They answer different questions: one describes link-based authority in a domain model, while the other reviews whether entity, schema, external-validation, and contradiction signals remain coherent. Neither score proves how an AI provider will rank, cite, or recommend a page.

How AI Systems Infer Trust

SiteNexis reviews signal consistency as one practical way to assess machine-facing evidence. It compares your pages, schema markup, sameAs-linked profiles, and accessible external references: do they describe the organisation with the same name, founding date, and category? Does schema match the body text? These checks identify contradictions and gaps for remediation; they do not reveal a provider's private trust model.

Five Dimensions of Machine Trust

• Entity Credibility Consistency — same attributes, same values, across every page and every external profile
• Schema Trust Alignment — schema markup that accurately describes body content without over-claiming
• External Validation Depth — sameAs links that resolve to live, consistent external profiles
• Contradiction Absence — no conflicting claims between pages, schema, and metadata
• Trust Degradation Resistance — no evidence that trust signals have eroded between audit cycles

What Undermines Machine Trust

The most common machine-trust findings are accumulated inconsistencies: an organisation page says "founded in 2018" while schema says "2019"; an Author entity appears in schema but not in the article; or a sameAs link now returns 404. In aggregate, these findings indicate that the domain's evidence model needs review. SiteNexis reports the inconsistency and its likely remediation; it does not assert that every provider applies the same penalty.

Improving Machine Trust Score

1. 1Audit entity data consistency across all pages — identify every location where your primary entity name, description, and attributes appear
2. 2Validate that schema markup matches body text — every schema claim must be verifiable from the page content
3. 3Verify that all sameAs links resolve to consistent, live profiles
4. 4Establish a governance process for entity data: changes to brand name, description, or founding date must be propagated simultaneously across all surfaces
5. 5Run contradiction detection across top pages — conflicting factual claims between pages are a direct trust penalty