Free E-E-A-T Checker

Quality Signals & E-E-A-T Checker: What It Does

A quality signals & E-E-A-T checker reads a page's HTML and structured data and reports back whether the trust and authorship signals Google's Quality Rater Guidelines describe are actually present. You give it one thing - a URL - and it gives you back a 0-100 E-E-A-T score, split across four pillars (Experience, Expertise, Authoritativeness, Trustworthiness), a plain-language list of what's missing or working, and a PDF you can keep or send to a client. AudEsto's version of this tool goes further than a simple byline check: it also looks for firsthand evidence (original media, case-study language), content transparency (ownership, editorial policy), topical focus across a domain, and whether the page's topic falls under YMYL (Your Money or Your Life), where the bar is higher.

This is built for people who need a fast, repeatable read on quality signals rather than a manual page-by-page review: SEO consultants doing a pre-publish or pre-audit pass, content teams reviewing a draft before it ships, agencies comparing a client's page against a competitor's, and site owners trying to work out why a well-written page still isn't getting cited by ChatGPT, Gemini, or Perplexity. It does not check backlinks, domain age, or Core Web Vitals - those live in a separate audit, not an E-E-A-T score.

How to Use the E-E-A-T Score Checker

1. Paste the URL. It needs to be publicly reachable, not sitting behind a login or paywall.
2. Complete the human check. Click Check E-E-A-T Signals and pass the reCAPTCHA - the tool then fetches and parses the live page.
3. Read the pillar bars first. Each of the four pillars is scored out of 25, colored by band (Weak, Needs Work, Good, Strong) so you can see at a glance where the page is thinnest.
4. Work through the result cards. Each one names a specific signal, whether it was found, and why it matters - sorted so the most serious gaps sit at the top.
5. Export the PDF if you need a record. Useful for client reporting or before/after comparisons once you've made changes.

How the Score Is Calculated

Each pillar is worth 25 points, built from sub-signals actually detected in the page's HTML, visible text, and JSON-LD - nothing here is estimated or guessed:

None of this reproduces Google's actual ranking algorithm - E-E-A-T is a quality-rating framework assessed by humans, not a formula Google publishes. Some of what this tool checks (HTTPS, citation presence) correlates with things Google's systems can measure directly; other parts (firsthand-evidence language, topical focus) are diagnostic signals worth improving for their own sake, not confirmed ranking factors. Treat the score as a structured way to spot gaps, not a rank predictor.

What Each Result Panel Means

Author, Experience & Firsthand Evidence

Shows whether a byline exists, any credentials mentioned near it (including organizations spaCy's named-entity recognition picks up, like a university or employer), whether an editorial review is disclosed, and whether the body text contains first-hand experience language or firsthand-evidence signals - a demonstration video, self-hosted (non-stock) images, or case-study/original-data phrasing. An anonymous page with stock photography and no experience language scores low here even if the writing itself is good.

Authoritativeness & Topical Focus

Covers organization/publisher schema, outbound citations to .gov/.edu/major reference domains, linked social profiles, and a topical-consistency check: the tool samples up to two other pages linked from this one on the same domain and measures how similar their content is using TF-IDF cosine similarity. High overlap suggests a domain with a consistent subject-matter focus; low overlap suggests the page sits on an otherwise unrelated site.

Trustworthiness & Content Transparency

A row of pass/fail pills: HTTPS with no mixed-content resources, Privacy Policy, Terms, Contact and About pages, a disclaimer, an editorial-policy link, ownership disclosure, reachable contact details, and a publish or updated date. Each red pill is a specific, fixable gap rather than a vague warning.

Citations to Authoritative Sources

The exact outbound links counted toward the Authoritativeness score, so you can confirm they're genuinely relevant citations and not incidental navigation links that happened to match a .gov or .edu domain.

YMYL Badge

Appears above the score when the page's title, heading, and body text contain enough health, finance, legal, or safety-related language to suggest a YMYL topic. When it shows, a handful of issues (missing credentials, missing citations) are treated as warnings instead of lower-priority opportunities, since Google's guidelines apply a stricter bar here.

A Worked Example: Auditing a Health Blog Post

Say you run the checker against a health blog post and get 41/100. Experience scores 5 (no first-hand language, but a byline exists). Expertise scores 8 (a name is credited, no credentials or schema). Authoritativeness scores 10 (an Organization schema exists, zero outbound citations, low topical overlap with other pages on the domain). Trustworthiness scores 18 (HTTPS, Privacy Policy, and Contact page are present; no editorial-policy link, no publish date). The YMYL badge is showing.

Read in order: the missing citations matter most here, since health claims with nothing backing them are the single clearest gap on a YMYL page. Next is Expertise - a named author with no stated credentials reads as unverified for medical content specifically. The fix isn't a rewrite: add two or three citations to the actual studies or guidelines behind the claims, add a one-line author bio ("RN with 8 years in primary care," for example), and add a visible "last updated" date. That alone would likely move the score from the low 40s into the 60s without touching the prose.

Real-World Use Cases

• YMYL content review. Run health, finance, and legal pages through the checker before publishing, since these are exactly the topics Google's guidelines scrutinize hardest.
• Competitive benchmarking. Check a client's page against a page that consistently outranks it to see which specific trust signals the competitor has and the client doesn't.
• Pre-publish content QA. Catch a missing byline, absent citation, or dead Privacy Policy link while a page is still a draft.
• AEO/GEO groundwork. Strengthen the same authorship and citation signals AI answer engines weigh when choosing which pages to cite in a generated response.

Common Mistakes in E-E-A-T Optimization

• Adding a generic "Staff Writer" byline. A byline with no name, bio, or stated background barely improves on having none.
• Treating Author schema as decoration. Schema that doesn't match a real, described person reads worse under scrutiny than no schema at all.
• Citing sources that aren't actually authoritative. A link to another blog isn't the same signal as a link to a government dataset or peer-reviewed study.
• Assuming trust pages alone cover Trustworthiness. A Privacy Policy and Contact page help, but they don't offset missing Expertise or Authoritativeness on a specialized topic.
• Using only stock photography. A page built entirely from licensed stock images, with no original photos, video, or data, gives the Experience pillar nothing concrete to credit.
• Ignoring topical focus. A site that publishes across unrelated subjects dilutes the authority it can claim on any single one - depth in a niche compounds over time, breadth doesn't.

Expert Recommendations

If you only fix one thing per pillar, prioritize this: for Experience, add one sentence naming what you personally did ("I ran this test for three weeks"); for Expertise, name a credential specific to the claim, not a generic title; for Authoritativeness, cite the primary source, not a secondary article that cites it; for Trustworthiness, put a real last-updated date on the page and keep it current. These four changes cost little engineering effort and move the score more than a full content rewrite usually does.

One nuance worth flagging: the Niche Focus signal rewards topical consistency, but it can score a single off-topic page on an otherwise focused site as a false negative. If a generally strong site publishes one unrelated post, treat a low topical-overlap reading on that page as a note about that page, not a verdict on the whole domain.

E-E-A-T and YMYL Explained

What Is E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness - the framework in Google's publicly documented Search Quality Rater Guidelines, used to train the human raters who evaluate search result quality as part of testing algorithm changes. It is not a single ranking signal computed directly by Google's algorithm; it is a lens for judging whether content and its source can be trusted.

Experience vs. Expertise

Expertise is formal knowledge - credentials, education, professional background in the subject. Experience, added to the framework in December 2022, is first-hand, lived familiarity: having actually used the product, visited the place, or gone through the situation described. A product review from someone who bought and used the item demonstrates experience even without formal expertise in that product category.

What Is YMYL?

YMYL (Your Money or Your Life) describes topics where inaccurate content could cause real harm to a reader's health, finances, safety, or legal standing. Google's guidelines apply a noticeably stricter E-E-A-T bar to YMYL pages than to general-interest content - a recipe blog and a page about medication dosages are not held to the same standard, and this checker's YMYL badge exists to flag when that stricter standard likely applies.

Why This Matters for AI Answer Engines

AI answer engines synthesizing responses from web content tend to favor sources that look credible and well-attributed: a named, credentialed author; a real, identifiable organization; and citations to primary sources. Strengthening these signals is one of the more direct ways to make a page a plausible citation in an AI-generated answer, separate from its position in traditional search results.

A Quick E-E-A-T Checklist

A five-minute pass before publishing or updating a page:

1. Credit a real, named author with a short bio stating relevant credentials or experience.
2. Add Person and Organization schema so authorship and publisher identity are machine-readable, not just visually present.
3. Cite primary sources - government data, peer-reviewed research, or the official body behind a claim.
4. Confirm trust pages are linked - Privacy Policy, Contact, and About should be one click away, not buried in a footer maze.
5. State your experience explicitly where you have it - "I tested," "we measured," "after six months of use."

Limitations and Important Considerations

• Reads server-rendered HTML. Content injected entirely by client-side JavaScript after load may not appear in the check.
• Can't verify claims. The tool detects whether credentials, citations, or ownership disclosures are present - it can't confirm they're accurate.
• Topical-focus sampling is capped. Niche Focus compares against at most two other pages on the domain, a fast approximation, not a full-site crawl.
• Not Google's internal score. This is an independent heuristic built from publicly documented guidelines, not a reproduction of any Google algorithm.
• A single page at a time. Each check reflects the one URL entered, not sitewide authorship or trust patterns beyond the small topical sample.
• Not a full SEO audit. It doesn't check backlinks, domain age, Core Web Vitals, or indexing status - pair it with a full audit tool for those.

Paste a URL into the tool above to see its quality signals broken down by pillar, then work through Experience and Expertise first - anonymous or uncredentialed content is the hardest gap to fix once a page is already published and indexed.