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E-E-A-T Analyzer

Score your page across Experience, Expertise, Authority, and Trust

Analyse E-E-A-T signals

12 trust signals checked

Scores Experience, Expertise, Authoritativeness, and Trustworthiness across 12 on-page signals.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the framework AI systems and search engines use to evaluate content quality. This analyser checks any URL across 12 on-page signals — from author credentials and citation patterns to structured data and trust markers — and scores each dimension individually.

Get per-dimension scores across all four E-E-A-T pillars with specific check results.
Identify missing trust signals that reduce your likelihood of being cited by AI systems.
Receive actionable pass/fail checks mapped to the signals AI models actually evaluate.

How it works

Get started in 3 simple steps

1

Enter any public URL — blog post, landing page, or article.

2

The analyser fetches the page and evaluates 12 E-E-A-T signals across all four dimensions.

3

Review per-dimension scores and expand each to see individual check results.

Best use cases

Built for teams that take AI visibility seriously

1

Content teams auditing blog posts for trust signals before publishing.

2

SEO teams benchmarking E-E-A-T quality across key pages and competitor content.

3

AEO strategists strengthening content authority to improve AI citation rates.

Want continuous monitoring instead of one-off checks?

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FAQ

Frequently asked questions

What does E-E-A-T stand for?

Experience, Expertise, Authoritativeness, and Trustworthiness. It's the quality framework Google uses in its Search Quality Rater Guidelines and the signals AI systems use to decide which content to cite.

What signals does this check?

It checks 12 signals across four dimensions: first-hand experience language, publication dates, media evidence, author attribution, author bio, author schema, external citations, organization schema, about page links, HTTPS, privacy/terms links, and review/testimonial presence.

How does E-E-A-T affect AI citations?

AI models favour content from sources they can verify as authoritative and trustworthy. Pages with strong E-E-A-T signals — named authors, credentials, citations, structured data — are significantly more likely to be cited in AI-generated answers.

What's a good E-E-A-T score?

75+ overall (grade B or A) indicates strong trust signals. Most content pages score 40-60 on first check. Focus on the failed checks in each dimension to improve systematically.

Does E-E-A-T apply to all content types?

Yes, but the weight of each dimension varies. YMYL (Your Money or Your Life) content like health and finance requires stronger expertise and trust signals. Blog posts benefit most from experience and author attribution.

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