Build an Evidence-Based E-E-A-T Audit in 30 Minutes
The problem
Three pages. Three different reasons to trust, question, or stop.
One page makes a dangerous money promise. One gives careful health guidance and needs a small technical correction. One says products were tested but does not show how. A useful E-E-A-T audit must tell those situations apart.
A money promise could cause real loss
Northstar promises a guaranteed 18% return without a responsible creator, risk method, or verifiable evidence. A byline or schema would not make the offer safe.
Strong health guidance can need a small fix
Harborwell names its writer and reviewer, cites authoritative sources, and gives safety advice. Its visible review date and markup date do not match.
A test claim needs inspectable proof
Juniper says it tested eight products, but the article does not show the test log, method, original evidence, or an early affiliate disclosure.
The insight
Purpose sets the evidence standard. Trust connects the evidence.
Begin with what the reader may do and what could happen if the page is wrong. Then separate the trust evidence you found from the trust evidence that is missing, decide whether the purpose needs experience, expertise, or both, and act on the largest gap.
3 moves
Purpose and stakes, evidence and gaps, material Trust action
3 live pages
One high-impact risk, one maintenance case, one credibility gap
1 own page
Apply the same method to one query-page pair without making the play too long
The method
The 5-step Trust evidence method
Learn the decision rule, make the initial call yourself, and use AI to challenge the evidence chain and help turn it into an implementation brief.
Set the standard
Decide likely purpose, reader action, and possible harm before choosing a route.
Inspect the evidence
Check the live page, author, reviewer, dates, links, sources, experience cues, and markup.
Build the Trust chain
Connect the evidence you found to the gaps, a conclusion, an action, and a priority.
Draft and challenge
AI drafts from the learner's work. The learner checks feedback and edits the sheet.
Trace and hand off
Final review checks that priorities and actions trace to evidence and open checks stay visible.
The deliverable
What you will walk away with
A traceable E-E-A-T Audit Pack an editorial team can verify and use.
FAQ
Frequently asked questions
What does the E-E-A-T Audit Pack contain?
It contains a purpose-and-stakes decision, evidence record, Trust evidence chain, and implementation fix sheet for every active page. The sample uses three pages; your own data uses one.
Why does the audit begin with purpose and possible harm?
The same signal can matter differently on different pages. Purpose and possible harm tell you whether the page needs demonstrated experience, qualified expertise, stronger sourcing, clearer accountability, or only maintenance.
Does schema prove E-E-A-T?
No. Markup can describe visible facts in a machine-readable way. It does not prove that a fact is true, a creator is qualified, an experience claim is genuine, or a page deserves Trust.
Will this improve rankings or AI citations?
It may improve clarity, reliability, and accountability. It cannot guarantee crawling, indexing, rankings, traffic, rich results, or selection in an AI answer.
What if a live page cannot be fetched?
The prompt continues, reports the fetch failure, uses the learner's supplied evidence, and must not claim that the page was verified.
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