E-E-A-T Signal Analyzer
Google's Quality Rater Guidelines center on E-E-A-T. Our analyzer inspects your page for 20+ concrete signals across all four dimensions and returns a 0-100 score with an A-F grade. Each dimension is broken down into pass/warn/fail checks so you know exactly which signals to add to boost credibility with both Google and AI Overviews.
How it works
A short, focused workflow — input, run, read the result.
Enter a page URL
Paste any public article URL. The tool fetches the page, strips non-content blocks, and runs 20+ signal checks.
Review the 4-dimension breakdown
Each dimension (Experience, Expertise, Authority, Trust) is scored 0-100 with pass/warn/fail signal details.
Apply the highest-impact fixes
Start with the FAIL signals in Trust and Expertise, those move the overall score the most.
What is E-E-A-T, and why does it matter for rankings and AI citations?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is the framework Google's Quality Raters use to grade page quality, and the signals it measures correlate strongly with both rankings and AI Overview citations.
What this E-E-A-T signal analyzer checks
Every concrete signal Google's Quality Raters look for, broken down by dimension.
- HTTPS enforcement — verifies the page and all internal links use HTTPS, the baseline signal of the Trustworthiness dimension.
- Named author attribution — checks for a byline, author bio, and Person schema, the core signal of the Expertise dimension.
- Publication and update dates — flags visible date markup on the page, which feeds the Freshness sub-signal of Trust.
- Author credentials markup — looks for E-E-A-T or schema.org/Person markup that names the author's role, experience, and qualifications.
- Contact and about pages — confirms a contact page, an about page, and a privacy policy are linked from the page or footer.
- External citation quality — counts outbound links to recognized sources (.gov, .edu, primary research) versus generic blog references.
- YMYL classification hint — flags whether the topic looks like Your Money or Your Life, where E-E-A-T weight is highest.
- Per-dimension breakdown — scores Experience, Expertise, Authority, and Trust separately so you know which one needs the most work.
Who uses this E-E-A-T signal analyzer
SEO and editorial teams who need a fast read on whether a page clears Google's quality bar.
You're auditing 200 YMYL pages and need to know which ones are dragging down the domain's overall quality score.
Grade every page in 10 minutes, prioritize the FAIL signals in Trust and Expertise first.
Your team publishes 8 articles a week on health and finance, and Google seems to favor competitor content.
Add the missing author bio, contact page, and citations, move from a D to a B in a single edit.
You're pitching a YMYL client and need to show the gap between their current trust signals and competitors.
Run both domains, surface the 6 signals where the client is failing, present a clear roadmap.
You write about personal finance and want to qualify for AI Overview citations on 'best savings account' queries.
Add HTTPS, an author bio with credentials, and .gov citations, and watch citation rate climb.
You manage a 10,000-page ecommerce site where many product pages are missing author and date markup.
Identify the systemic template gaps, ship a CMS fix, lift the average E-E-A-T grade from C to B.
You publish 30 articles a month on regulated YMYL topics where E-E-A-T weight is highest.
Run every article through the analyzer, reject any draft that scores below B before it ships.
Frequently Asked
Questions
Everything you need to know about Google's E-E-A-T framework and how to score against it.
E-E-A-T stands for Experience, Expertise, Authoritativeness, Trustworthiness. It is the framework Google's Quality Raters use to evaluate page quality. While not a direct ranking factor, E-E-A-T strongly correlates with rankings, especially for YMYL (Your Money or Your Life) topics like health, finance, and legal.
Each of 4 dimensions has 5-6 deterministic signal checks (e.g. HTTPS, author bio, .edu citations, Person schema). Each signal is weighted, and dimensions are scored 0-100. Overall score is the average across dimensions, mapped to an A-F grade: 80+ = A, 65+ = B, 50+ = C, 35+ = D, below = F.
Not officially. Google has said E-E-A-T is used by Quality Raters, not the algorithm directly. However, the signals E-E-A-T measures (HTTPS, author credentials, citations, schema) are all ranking factors individually, and the E-E-A-T framework guides how Google improves its algorithms over time.
The most common reasons: page is not on HTTPS, no contact page, no privacy policy, no about page, no clear ownership disclosure, or no links to recognized sources. Adding a contact email, an about page, and a privacy policy can move the Trust score from F to B in a single edit.
Yes. We fetch the page once via our server, run signal checks in-memory, and return the result. We do not log URL contents, do not store HTML, and do not use it for training. Rate limit is 10 checks/hour per IP.
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