Experience
Has the author used, done or seen this first-hand?
Example signalFirst-person language, a real example, a named scenario, a before and after.
The E-E-A-T score checker on WritoryBuzz reads your page against 20 on-page signals tied to Experience, Expertise, Authoritativeness and Trustworthiness, then returns a score out of 100 and a ranked list of fixes. Paste plain text or full HTML, enter your target keyword, pick a content type and you get a result in seconds.
Runs in your browser. Your pasted content is not sent to a server.
An E-E-A-T checker scans a page for visible trust signals, such as a named author, dates, cited sources, first-hand examples and structured data, and scores how many are present. Google does not publish an E-E-A-T score, so any checker, including this one, is a heuristic checklist and not a prediction of rankings.
E-E-A-T is the framework Google gives its human Search Quality Raters to judge whether a page deserves trust. It stands for Experience, Expertise, Authoritativeness and Trustworthiness. Google added the first E, Experience, in December 2022. Raters are asked who made the page, why it exists and whether the maker knows the topic first-hand.
One point trips up many people: E-E-A-T is not a single ranking factor and there is no number Google assigns to your page. A checker like this one measures the things a rater could see on the page. It cannot see backlinks, brand reputation or what the rest of the web says about you.
Has the author used, done or seen this first-hand?
Example signalFirst-person language, a real example, a named scenario, a before and after.
Does the content show accurate, deep knowledge?
Example signalCorrect terminology, full topic coverage, logical structure.
Is the author or site a recognised source?
Example signalAuthor name with credentials, cited data, external references.
Can a reader rely on it, and see who is accountable?
Example signalClear authorship, visible dates, honest sourcing, Person or Article schema.
Google describes Trust as the most important of the four. A page can sound experienced and still fail if it hides who wrote it or makes claims it cannot support.
The checker shows a live word count as you paste. If you paste a short snippet, expect a lower Expertise result, because coverage depth is one of the signals.
Run the checkerThe tool checks five signals in each of the four pillars. These are the ones that usually move a score the most, and how easy each is to fix.
| Signal | Pillar | Impact | Easy to add? |
|---|---|---|---|
| Author name and credentials | Authoritativeness | Very high | Yes |
| Publication or update date | Trustworthiness | Very high | Yes |
| Statistics with cited sources | Authoritativeness | High | Moderate |
| First-person experience language | Experience | High | Yes |
| Concrete real-world examples | Experience | High | Yes |
| External links to credible sources | Authoritativeness | Medium | Yes |
| Technical or domain vocabulary | Expertise | Medium | Moderate |
| Word count of 1,000 or more | Expertise | Medium | Moderate |
| Person or Article schema (HTML mode) | Trustworthiness | Medium | Yes |
| FAQ or How-To structure | Expertise | Medium | Yes |
The score runs from 0 to 100 based on how many of the 20 signals your page passes. Use the bands as a to-do guide, not as a verdict from Google.
Strong signals. Shift effort to off-page authority, topical depth and updates.
Good base with one or two gaps. Work through the top of the fix list.
Several key signals missing. Fine for low-competition topics, risky for competitive or YMYL ones.
Weak. A rater would likely rate the page low on trust.
Basic credibility markers are missing. Add author, dates and sources first.
For most pages, aim for 80 or above. For YMYL pages, aim for 85 or above. Read the pillar breakdown before the total: a 90 in Expertise with a 30 in Trustworthiness needs different work from a page that is evenly average.
AI answer systems such as Google AI Overviews, ChatGPT search and Perplexity choose sources they can verify. Named authors, dated pages and cited facts make a source easier to attribute, so the E-E-A-T habits above also make a page easier to cite.
No AI provider publishes a formula that links an E-E-A-T score to citations, so treat that link as a sensible working theory, not a measured rule.
For a separate check on answer-first structure, run the draft through the AEO Readiness Checker.
YMYL covers health, finance, legal and safety topics where bad information can hurt a reader. Google's Search Quality Rater Guidelines hold these pages to the highest standard.
If you write about loans, medicines or tax in India, treat these as required, not optional.
Run a draft before publishing to spot a missing byline or source.
Compare a client page with a competitor page, pillar by pillar.
Use the fix list as a content QA step before delivery.
Test whether product and advice pages show enough accountability.
Check that a human expert has added real experience and sources.
| Check | What it looks at | Use it for |
|---|---|---|
| E-E-A-T Score Checker | Trust, experience and authorship signals in your content | Credibility gaps before publishing |
| AEO Readiness Checker | Answer-first structure and AI citation signals | Making content easier to quote |
| Backlink tools | Links pointing to your domain | Off-page authority |
| Keyword density tools | Phrase frequency | Over-optimisation checks |
The checker runs in your browser and your pasted content is not sent to a server. It needs no account and has no usage cap. Even so, avoid pasting unpublished client material that is under a confidentiality agreement unless you are comfortable with that.
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. It is the framework Google gives its quality raters to judge content, and it guides the signals Google's systems try to reward. It is not a direct ranking factor with a score.
Yes. It is free with no signup and no usage cap. Paste your text or HTML, enter a keyword, choose a content type and run the check.
No. Google does not publish or assign a page-level E-E-A-T number. This checker scores visible on-page signals as a guide, so treat the result as a checklist, not as a Google metric.
Aim for 80 or above on most pages and 85 or above for YMYL pages. A score of 70 to 84 means a solid base with one or two gaps, and anything under 55 needs real work.
Paste HTML when you can. In HTML mode the tool also detects Person schema, Article schema, author meta tags and canonical tags, which plain text hides. Plain text is fine for a quick draft check.
YMYL means Your Money or Your Life. It covers topics such as health, finance, legal advice and safety, where poor information can harm readers. Google applies its strictest E-E-A-T standard to these pages, and the checker scores them more strictly when you select YMYL.
Not automatically. Google says it focuses on content quality, not how content is produced. AI-assisted text that a named expert has reviewed, checked and enriched with real experience and sources can score well. Unattributed, unsourced text scores poorly.
It probably helps, because AI answers favour sources that are clear, attributable and verifiable. No provider has published a rule that ties E-E-A-T to citations, so treat it as good practice and not as a guarantee.
Re-check after any major update, after you add an author bio or schema, and during a yearly content review. YMYL pages deserve a review each time the underlying facts or regulations change.
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