The E-E-A-T Checklist —
16 Signals, Run on Your Real Pages
This E-E-A-T checklist covers all 16 signals from Google's Search Quality Rater Guidelines — experience, expertise, authoritativeness, trust. Reading it is the easy part. The agent runs it on your real pages, drafts the fixes for your review, and re-measures every fix in your own Search Console data three weeks later.
Google's framework for content quality
E-E-A-T is the set of signals Google's quality raters use to evaluate whether content deserves to rank. It's not a direct ranking factor — it's the standard every algorithm update is tuned to reward, and it's what decides whether your pages get cited in zero-click and AI answers, not just blue links. See the full Google Quality Rater Guidelines.
Experience
First-hand knowledge of the topic
Expertise
Depth of skill or knowledge
Authoritativeness
Recognition from others in the field
Trustworthiness
Accuracy and reliability of information
16 E-E-A-T signals to check
Content should include "I did X and Y happened" — not just theory.
Pitfalls, edge cases, and nuances that go beyond surface-level research.
Visual proof of hands-on experience signals authenticity to both readers and Google.
Specific numbers and outcomes demonstrate real-world application.
Does this article answer the query more thoroughly than the current top 5 results?
Factual errors destroy expertise signals — verify every claim.
"CTR increased 34%" beats "CTR improved significantly" every time.
True experts simplify — they don't hide behind jargon.
Google looks for named authors with verifiable expertise in the topic area.
A site that covers a topic comprehensively signals domain authority.
Referencing primary sources (research papers, official docs) builds credibility.
When other sites cite your work, Google sees third-party validation of authority.
Outdated data or incorrect claims erode trust with readers and algorithms.
Content that acknowledges tradeoffs reads as more honest than one-sided pitches.
Hidden commercial intent is a trust-killer — be upfront about relationships.
Basic trust infrastructure that Google's quality raters explicitly check.
Every checklist ends as a one-time audit.
Someone runs the checks once, fixes three things, and files the rest. Then a core update lands, the standards move, and the audit is stale — while the pages that fail these checks quietly lose visibility to the sites that pass them.
You already know which page fails. It's the one with no author, no sources, and a two-year-old statistic in the first paragraph.
How an E-E-A-T audit dies in a backlog
On five pages. Once.
The rest join the backlog
The standards move; the audit is stale
Same failures, plus new ones
How the agent breaks the cycle
Checks your pages against all 16 signals, prioritized by your real Search Console traffic
Drafts the byline, the sources, the rewrite — ready for your review
Re-measures every fix in your own Search Console data about three weeks later — confirmed, inconclusive, or regressed
Comes back next week, and re-checks as the standards move. No reminders.
Find. Fix. Verify. Repeat.
An E-E-A-T checklist tells you what to look for. The loop is what keeps your pages passing it — week after week, as the standards move.
Find
Every week the agent checks your pages against the 16 signals and your real Search Console data — so the failing page thousands of people see gets found first.
Fix
It drafts what's missing — the named author, the primary sources, the fresh statistic, the first-hand example — and queues it for your review.
Verify
About three weeks after a fix ships, the agent goes back into your own Search Console data and checks whether it worked: confirmed, inconclusive, or regressed. Real verdicts, not assumptions.
Repeat
It comes back next week — and re-checks the whole board every time the standards move, so the audit never goes stale.
From this checklist to a running loop in three steps
Connect your Search Console
Sign in with Google and link Search Console — Google's free record of every search your site shows up in. Read-only access: the agent can look, not touch. No credit card.
Get your free report — quality included
The agent diagnoses your real numbers and your pages together: where people see you and click someone else, and which high-traffic pages are missing the trust signals this checklist describes. Every finding lands as a prioritized task on your board.
Walk the board with the founder — then the agent works it
A real human — the founder — reads your report before the call. You choose: work the checklist yourself (the board is yours either way), or hand it to the agent as the Managed Loop — a one-time setup, then a monthly retainer scoped to your site. No annual contract.
The checklist, run for you — to the verdict
All 16 signals, checked
On your real pages, with pass / warn / fail per signal — not a generic template.
Prioritized by your traffic
The failing page 4,800 people see each month gets fixed before the one nobody visits.
Fixes drafted for review
Bylines, citations, first-hand examples, freshness updates — in your voice, nothing ships unapproved.
A verdict on every fix
Re-measured in your own Search Console data about three weeks after it ships: confirmed, inconclusive, or regressed.
Re-checked as standards move
Every core update shifts what quality means. The agent re-runs the checks — you don't.
Plain-language findings
What each failing signal costs you in visitors, not a wall of audit jargon.
One failing page, from check to verdict
This is what one pass of the loop looks like on a page that fails the checklist.
Your /pricing-guide page is seen by about 4,800 people a month in Google — 70 click. It fails 3 of 4 E-E-A-T categories: no author byline, no cited sources, and a statistic from two years ago in the opening paragraph.
Added a named author with credentials, replaced the stale statistic, cited primary sources, and worked in a first-hand example from your own projects. Reviewed by your team — shipped.
Verdict: Confirmed. The page now brings in about 150 clicks a month from the same searches — more than double — and it's a page an AI answer can safely cite.
The numbers are an illustration. The verdict step is real — every fix gets one.
Built for the person who answers for quality
Content Leads
"I know some of our pages are thin — I just can't prove which ones matter." The agent ranks failing pages by your real traffic, so the fix order is never a guess.
Teams Hit by a Core Update
"Traffic dropped and nobody can tell me why." These signals are what core updates reward. The agent finds where your pages fall short — and works the list.
Teams Publishing With AI
"We publish fast — but does any of it pass?" The agent flags the missing human signals before a draft ships, so speed stops costing you trust.
FAQ
Common questions about the E-E-A-T checklist
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the framework Google's human quality raters use to judge whether content deserves to rank. Pages that demonstrate strong E-E-A-T signals consistently hold up better through core algorithm updates, and they're the pages AI answers can safely cite — which matters more as fewer searches end in a click.
No — and anyone who tells you otherwise is selling something. E-E-A-T is not a ranking signal the way page speed or links are. It comes from Google's Search Quality Rater Guidelines — a rubric human evaluators use to assess result quality. But Google tunes its algorithms to reward content that would score well on that rubric, so the signals on this checklist matter indirectly, every time the algorithm updates.
You can absolutely run it yourself — the checklist is right here and it's free. The difference is what happens after: by hand, the audit runs once, three fixes ship, and the rest meets the backlog. The agent runs the checks against your real Search Console data so the failing page thousands of people see gets fixed first, drafts the fixes for your review, and re-checks your pages as the standards move. The checklist stops being a one-time audit and becomes a loop.
Yes — if it carries real signals. Google doesn't penalize content for being AI-generated; it penalizes content that lacks experience, sources, and accountability. The agent grounds drafts in your real search data and brand voice, and it flags exactly where the human signals are missing — the first-hand example, the named author, the primary source — so they get added before anything ships. Your team reviews everything.
The honest answer: these signals influence rankings indirectly, and the effect takes weeks, not days. That's why the agent re-measures every fix in your own Search Console data about three weeks after it ships. We don't guarantee rankings — nobody honestly can. We guarantee every fix is implemented and re-measured in your data, with a verdict you can check in your own Google account.
The report is free, no credit card — and the checklist on this page is yours regardless. If you want the agent to work the board, every engagement has the same shape — we call it the Managed Loop: a one-time setup, then a monthly retainer scoped to your site on a call with the founder. No annual contract. Organizations that need the agent inside their own infrastructure get an individually scoped Enterprise Deploy.
Yes. Search Console access is read-only, your Google credentials are encrypted and never leave our servers, every account's data is isolated, and your data is never used to train AI models. Nothing ships without your approval.
Quality is part of the loop
E-E-A-T is one check the agent runs while it does content gap analysis and AI SEO automation. See the full content quality checklist, or learn how content earns citations from AI answer engines.
The checklist is the easy part.
All 16 signals are on this page, free to run yourself. The hard part is running them every week, on the pages that matter, and proving the fixes worked. Connect your Search Console and see what the agent finds — then decide who works the list.