Free E-E-A-T checker

HTTPS

The baseline trust signal — no HTTPS, no trust.

Organization / Person schema

JSON-LD that tells machines exactly who publishes the site.

Author byline

rel=author, /author/ links, or byline markup attributing content to a real person.

About page

A linked About page naming the organization and its people.

Contact page

An accountability signal — real operations are reachable.

Privacy & Terms

The legal pages every legitimate site is expected to have.

Published / updated dates

Verifiable freshness via time tags and article meta.

Review signals

Testimonials, reviews, or ratings as third-party validation.

Contact details

A published email or phone number — anonymous sites earn no trust.

What is E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the criteria Google's search quality raters use to evaluate content. It isn't a single ranking factor; it's a framework. Sites that demonstrate real expertise, clear authorship, and trustworthy business information consistently outperform anonymous, thin sites.

Can a tool really measure E-E-A-T?

Honestly: no tool can measure Google's actual quality judgment. What this checker does is audit the on-page trust signals that correlate with strong E-E-A-T — author bylines, About and Contact pages, Organization schema, HTTPS, publication dates, reviews, and reachable contact details. These are the verifiable building blocks; off-page reputation (links, brand mentions) is the rest of the picture.

What are the fastest E-E-A-T wins for a small site?

Add author bylines linked to real author pages, publish an About page that names the people behind the site, add Organization schema with logo and social profiles, put a real email in the footer, and expose accurate publication and update dates. Those five changes take an afternoon and move most sites from F to B on this audit.

Does E-E-A-T matter for AI search visibility too?

Yes — arguably more. AI systems like ChatGPT and Perplexity choose which sources to cite, and they favor content with clear authorship, verifiable publishers, and structured identity signals. Anonymous pages with no attributable author are cited far less often. The same trust signals help in both classic search and AI answers.