Accuracy, completeness, and trustworthiness of user-facing copy — claims truth, disclosure completeness, trust signals, marketing accuracy.
The human-reader-truth layer: are the words on the page accurate, complete, and non-misleading?
In scope. Marketing claims that are unsupported or false, stale facts or deprecated-feature references, missing required disclosures (non-legal context), broken product promises, unsupported superlatives, inconsistent pricing across surfaces, help-article drift, release-note accuracy, trust-signal completeness (testimonial provenance, case-study accuracy), readability against stated reading level.
Not in scope. Machine-readable metadata / structured data — findability. Legally-required privacy disclosures — privacy-consent. Regulator-mandated disclosures (FDA, FTC-specific, financial) — regulatory-conformance. Copy writing quality that isn't about accuracy (tone, grammar, voice) — user-experience.
Distinct because. The defect is what words are on the page and are they true. findability is what do machines extract. user-experience is how does the page behave under interaction. A pattern about "pricing page claim contradicts docs" is content-integrity. A pattern about "product JSON-LD missing price field" is findability.
Conceptual sub-structure. Claims accuracy, disclosure completeness, trust signals, freshness / staleness, readability.