Free tool · no signup
Paste a URL and instantly see whether the page shows the E-E-A-T signals — Experience, Expertise, Authoritativeness and Trust — that Google and AI assistants weight when they decide who to trust, cite and recommend. Named author? Dates? Real citations? Clear identity? We check seven concrete signals.
"Pass" only shows when the signal is genuinely present in the page's HTML. Each line gives the concrete reason.
This checks one page's trust signals. AUDXY audits E-E-A-T + how people, search and AI read your whole site — and turns it into a prioritized fix list.
Run full AUDXY — free teaser →You write good content, but it still gets passed over — and you can't see why. The usual reason is invisible: your page is missing the Experience, Expertise, Authoritativeness and Trust (E-E-A-T) signals that tell Google, and now AI assistants, that a real, accountable person stands behind it. This free E-E-A-T checker reads your page the way a machine does and tells you, in plain English, which of those trust signals are there and which are missing.
Paste a URL and the tool scans the page's underlying code (the HTML that search engines and AI actually read, not just what your eyes see) for seven concrete trust signals:
Three different audiences read your page, and all three are asking the same quiet question: can I trust this?
A real name, a recent date and a clear "who's behind this" make a stranger comfortable enough to read on, believe you, and buy. Anonymous, undated pages feel risky — and people leave.
Google's human quality raters are told to favor content that's accountable and credible. The automated ranking systems are built to reward the same qualities. Miss the signals and your good content competes with one hand tied behind its back, especially for "your money or your life" topics like health, money and legal advice.
ChatGPT, Claude, Perplexity and Gemini quote pages they can verify. Given two answers, they cite the one that looks accountable — written by someone, dated, sourced and tied to a real entity. If your page has none of that, the AI quotes a competitor instead.
Each of the seven checks comes back as a clear pass or fail, with the exact reason. A "pass" only appears when the signal is genuinely present in the page's code — so a green check means a machine can actually find it, not just that it exists somewhere on screen.
A strong result (most or all seven passing) means your page looks trustworthy to people, Google and AI alike — your content gets a fair shot. A weak result (only a couple passing) means your page reads as anonymous and unsupported, and it's quietly losing to pages that look more accountable. The good news: every failing line is a specific, fixable gap, not a vague verdict.
Don't try to fix everything at once. Work down this short list in order:
Want to go deeper on a specific signal? Check whether AI can cleanly pull answers from your page with the answer readiness checker, confirm Google and AI know exactly who you are with the entity clarity checker, or find missing structured data with the schema gap finder. When you're ready for the full picture, the free AUDXY website audit grades trust signals across your entire site, or browse every option in the free tools hub.
E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust — the framework Google's human quality raters use to judge whether content deserves to rank, especially for "your money or your life" topics like health, finance and legal. It's not a single score; it's a pattern of signals: a real named author, publish and update dates, links to authoritative sources, a clear organization behind the site, visible credentials, and standard trust pages. AI assistants like ChatGPT, Claude, Perplexity and Gemini lean on the same cues. They pull answers from pages they can verify, and they preferentially cite content that looks accountable — written by someone, dated, sourced, and tied to a real entity. A page with none of those signals reads as anonymous and unsupported, so it gets skipped in favor of one that looks trustworthy.
Start with the signals this tool checks. Add a real byline with the author's name (and a short bio linking to an about/team page that shows credentials). Show a publish and updated date — and keep content current. Cite your sources: link out to authoritative references for any claim or statistic. Make your organization unmistakable with Organization or LocalBusiness structured data and a clear about page. Add the baseline trust pages — privacy policy, terms, and contact. Finally, write from first-hand experience: specific numbers, named people, direct quotes and "we tested / in our experience" detail beat generic, scraped-sounding copy. Fix these and you become the page Google ranks and AI quotes — instead of the one it passes over.
Yes. The checker is free and needs no signup — paste a URL and you get your results. There's a daily limit on free checks to keep the tool fast for everyone; if you need to scan many pages, the full AUDXY website audit covers your whole site at once.
No, and it shouldn't. E-E-A-T is one ingredient, not the whole recipe. Strong trust signals make Google and AI assistants comfortable trusting your page, but rankings still depend on genuinely helpful content, relevance to the search, page speed (how fast and steady your page feels), and links from other reputable sites. Think of this tool as removing the trust objections that quietly hold a good page back — not as a magic ranking button.
E-E-A-T isn't a single dial Google turns. It comes from Google's Search Quality Rater Guidelines — the handbook the people who grade search results use to judge whether content is trustworthy. Google then builds automated systems that aim to reward the same qualities those raters look for. So while there's no "E-E-A-T score" inside the algorithm, the signals it describes are very real and worth getting right.
It reads the page's underlying HTML the way a search engine or AI crawler does — not the way the page looks to you. A date or author name that's baked into an image, or trust pages that exist but aren't linked, can be invisible to machines even though a human sees them. The checker surfaces exactly what's present in the code, so you fix what actually counts.
Schema (the hidden code that tells Google and AI what your page is about) is one way to prove E-E-A-T signals, but it's not the whole picture. E-E-A-T is about whether your page looks accountable and credible — author, dates, sources, identity, trust pages. Schema makes some of those signals machine-readable and unambiguous. You want both: real trust signals on the page, and structured data that spells them out clearly. Use the schema gap finder to see what's missing.