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E-E-A-T checker: does your draft show its work?
Paste your draft and get an instant score for on-page experience, expertise, authority, and trust signals — no account needed.
E-E-A-T — experience, expertise, authoritativeness, and trust — is a framework for judging content quality, not a ranking guarantee. This free checker reads what's actually on the page: whether claims are backed by sources, dates are present, and trust markers show up in the text. It measures on-page structural signals only — it cannot see your author's real-world credentials, site reputation, or backlinks, and it does not predict rankings or citations.
What we check
- Source citations — are claims backed by linked or named sources?
- Dates and freshness markers — is the content dated or time-stamped?
- Trust language — disclosures, methodology, and first-hand detail
- Citation formatting — are sources presented in a consistent, extractable way
How it works
Paste your draft
No account, no upload. Your text is analysed in the moment and never stored.
Get an instant score
See your score out of 100 and the top fixes to make before you publish.
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Trust signals have to be on the page to count
Search engines and AI systems can only weigh the trust signals they can actually find in your content — sourced claims, dates, and clear attribution. This checker only scores what's visible in the text you paste; it is not a measure of your domain's authority or your author's off-page reputation, and a high score here is not a citation or ranking guarantee.
Want the full picture?
The complete NEIS analysis adds a publishing decision, all seven readiness dimensions, Information Gain versus the live top 10, search-intent match, recommendations, and evidence.
Run the full analysis — free3 free analyses. No card required.
- AI citation readiness checker: will AI cite your article?
- Readability checker: is your draft easy to read?
- Heading structure checker: is your outline sound?
- Meta description checker: will your snippet get clicked?
- Schema markup generator: build clean, valid JSON-LD

