E-E-A-T Trust Architecture: Systematic Authority Building
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is how quality systems assess whether a document and its publisher deserve visibility. In HEG, E-E-A-T is not a checklist bolted on after writing — it is modeled as entity attributes on Person, Organization, and Evidence nodes, then proven with L2 depth and L3 studies.
- Map each E-E-A-T pillar to a dedicated L2 URL with a stable @id.
- Author nodes must resolve to one Person @id (https://valerion.tech/om-oss/#rasmus-bastrup).
- Trust signals (HTTPS, policies, contact, brand disambiguation) belong in schema and visible UI.
- Back claims with L3 evidence — do not assert expertise without proof pages.
1. Trust as the foundation of machine quality assessment
Search quality systems evaluate whether content helps users and whether the creator is a reliable source for the topic. Isolated keyword pages without clear authorship, provenance, or corroborating evidence inject entropy into that judgment.
Treat E-E-A-T as observable entity properties — who wrote it, what they have done, who cites them, and why the site is safe to trust — not as keyword stuffing of the acronym itself.
2. The four pillars of the E-E-A-T model
Experience shows first-hand involvement. Expertise shows skill depth. Authoritativeness shows recognition by peers and sources. Trustworthiness is the necessary condition — security, honesty, and accuracy. HEG assigns each a supporting L2 node under this L1.
3. Integrating E-E-A-T into the Hierarchical Entity Graph
Wire Person and Organization nodes with stable @id values, link articles to those nodes, and point claims downward to L3 evidence. Avoid duplicate author identities (#author-rasmus vs om-oss/#rasmus-bastrup) — one Person entity only.
Child entities in this silo
Parent: EN L0 Hub. Children below stay inside this pillar only.