Free Tool
E-E-A-T Score Checker
Paste a URL. We score it on 32 E-E-A-T signals — the structural cues Google and AI engines like ChatGPT, Perplexity, and Google AI Overviews use when deciding what to cite.
What is E-E-A-T?
Google introduced E-A-T in 2014 and added Experience in December 2022, making it E-E-A-T: Experience, Expertise, Authoritativeness, Trustworthiness. It's the framework Google's Search Quality Raters use to evaluate a page — and it's not a direct ranking factor, but it shapes the algorithm updates that are.
In 2026, the same signals matter past Google. ChatGPT, Perplexity, Claude, and Google AI Overviews all use structural credibility cues — author identity, citations, freshness, schema — when grounding their answers on source content. E-E-A-T is now the shared currency.
Why E-E-A-T matters for AI search
AI engines can't read every page subjectively. They look for extractable hooks:
- a real author
- dated citations
- structured FAQs
- statistics with sources
Pages that emit those signals get cited more often — and pages that don't read as generic AI slop to both humans and engines. The research is consistent:
- +30 to +41% AI visibility per tactic when you add statistics, quotes, or citations to a page — Princeton/Cornell GEO study (KDD 2024).
- 63% of all AI citations go to listicles in the 1,000–2,000-word range — Evertune, 25,000 URLs analyzed.
- ~50% of AI citations come from pages updated within the last 13 weeks — the 13-week freshness rule.
What we score — 32 signals across 7 categories
A 0–100 scale. Six classic E-E-A-T categories plus a seventh built specifically for AI citation readiness.
Experience
15 ptsFirst-person language, original images, specific examples, case-study framing.
Expertise
20 ptsAuthor byline, Person schema, linked bio, credentials, content depth.
Authoritativeness
20 ptsAbout/Contact pages, Organization schema, citations to .gov/.edu/Wikipedia, social proof.
Trustworthiness
10 ptsHTTPS, privacy/terms links, publish + modified dates, source attribution.
Content Quality & Citations
15 ptsExternal links, statistical evidence, structured content, word count.
Technical Signals
10 ptsArticle schema, meta description, Open Graph tags, canonical URL.
AI-Citation Readiness
10 ptsFAQPage schema, extractable summary at top, sentence-length band, recent updates.
Frequently asked
Is this free?
Yes — no signup, no email gate. Paste a URL, get a score.
How accurate is the score?
We measure structural signals AI engines and Google can extract programmatically: schema markup, author identity, citation density, freshness. We do not judge subjective writing quality — that needs a human or a different tool.
How is this different from other E-E-A-T checkers?
Two things. First, our recommendations are grounded in published evidence — the Princeton/Cornell GEO study (KDD 2024), Evertune's 25,000-URL analysis, Backlinko, Ahrefs freshness data — not generic Google policy quotes. Second, we score a 7th category most tools skip: AI-Citation Readiness (FAQPage schema, TL;DR length, sentence cadence, dateModified within 90 days). Those are the GEO-specific signals AI engines lean on.
Does Nuanta use this on its own content?
No — different scope. This free tool measures 32 structural signals deterministically in about two seconds. Nuanta's pre-publish validator goes deeper: a multi-step LLM analysis (3–6 minutes per article) that grades content quality, evaluates source credibility, checks data accuracy, and verifies link integrity. The signal stack we score topics against before any word gets written is documented in 6 Signals That Reveal Which Topic to Publish Next. Both matter — one is fast, the other is thorough.
Built by Nuanta
A free tool from Nuanta — the SEO autopilot that researches, writes, and publishes E-E-A-T-validated articles to your CMS. Want each article you publish to score 80+ before it goes live?