In this lesson you’ll cover:
- Why there’s no schema property for trust — systems infer credibility from coherence and corroboration across independent sources
- The three signal categories that determine credibility: structural, corroboration (highest weight), and behavioral
- The asymmetry between what you say about yourself and what independent sources say — and why external evidence must be indexable
- How E-E-A-T maps to external evidence, and which actions build versus undermine inferred authority
- Ambiguity as the enemy of machine confidence, and the three mechanisms to reduce it: disambiguation, classification, corroboration
- Why authority is contextual and doesn’t transfer across topics — each domain needs its own corroboration trail
- How self-contradictions across your own pages downgrade every affected attribute, and how ranges and ISO dates fix it
- Why rebrands and site migrations silently rupture entity confidence, and the entity-continuity checklist
- Inference-time verification: how agents cross-check your claims against other sources in the same session, plus a phased recovery playbook