How the E-E-A-T report works
E-E-A-T — Experience, Expertise, Authoritativeness, and Trust — is the credibility framework AI leans on hardest before it recommends anyone. This report measures how much proof of each AI can actually find about your business.
AI recommends who it can vouch for. E-E-A-T is the vouching.
Two companies offer the same service. One shows named experts, real credentials, case studies, and press. The other has a generic team page. AI recommends the first — not because it's better, but because it can be trusted on the evidence it found.
What we measure
This report scores the proof AI can find for each pillar — and shows you exactly where your credibility is thin.
Turn thin credibility into proof AI can find
Each weak pillar becomes a specific proof to publish — a credential to surface, a case study to write, a citation to earn. Add the evidence, re-check it, and watch the trust signal climb the next time AI evaluates you.
What your gaps mean
Each thin pillar points to a specific kind of proof.
The goal is simple: give AI so much proof that recommending you is the safe, obvious answer — not a risk it has to hedge.