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E-E-A-T in practice: proving expertise on medical and legal sites

E-E-A-T is not a ranking factor but the quality framework Google trains its algorithms against. Here is how to translate it into concrete page elements.

What E-E-A-T is and is not

The acronym stands for Experience, Expertise, Authoritativeness and Trust. These are criteria from the Search Quality Rater Guidelines, used by human raters whose assessments calibrate the ranking systems.

There is no internal 'E-E-A-T score' you can raise with an edit; Google has said so repeatedly. What you work on are the observable signals a rater can verify: who wrote it, what backs their qualification, where claims come from, who owns the site.

YMYL — 'your money or your life' — covers medicine, law, finance and safety. The verification bar for these topics is markedly higher, and weak authorship hurts more than in everyday niches.

Authorship: the minimum sufficient implementation

Every expert article should display an author with surname, role and specialisation, not a byline reading 'editorial team'. The name links to an author page with biography, education, years of practice and their publications on the site.

The author page should carry verifying links: a medical register profile, a licence number, a university page, publications in industry outlets. External verifiability is what separates real proof from a declaration.

If a copywriter wrote the piece and a specialist reviewed it, name both: 'Written by …, medically reviewed by …'. That is an honest and widely used arrangement, and it beats an anonymous text.

Structured data that supports authorship

For articles use schema.org/Article or MedicalWebPage with an author field, where author is a Person object carrying name, jobTitle, url and sameAs links to verifiable profiles.

For the organisation use schema.org/Organization or MedicalOrganization with name, address and telephone, plus medicalSpecialty for a clinic. sameAs must point at real verified company profiles, not empty social accounts.

Markup does not create expertise; it makes existing facts machine-readable. Declaring a Person who does not exist is pointless and risky: a mismatch between markup and visible content violates structured data policy.

Sources, dates and factual accuracy

In medical and legal material, claims must rest on verifiable sources: clinical guidelines, statute text, official agency clarifications. An inline link to the primary source works better than a bibliography at the end.

For the Uzbek market this matters most in legal topics: legislation changes, and an article citing a three-year-old edition misleads readers. Show a last-reviewed date separately from the publication date and update it only after a genuine review.

Never publish figures without a source. Phrases like 'according to the Ministry of Health' with no link read as invention to raters and readers alike. If precise data is unavailable, generalise and say so.

Site owner transparency

Trust is the heaviest component and the fastest to check. You need an About page with real legal details, tax ID, registered address, medical licence number, phone and office address.

Dedicated privacy, personal data processing and terms of use pages are mandatory — both for trust assessment and under personal data legislation.

Clinics and law firms benefit from photographs of the actual premises and team, licence documents and attributed reviews. Stock photos of doctors on a clinic site are a direct credibility signal in the wrong direction.

What not to do

Do not buy 'experts' to sign other people's texts. It passes formally, but a complaint or manual review exposes the mismatch and the damage lands on the whole domain, not one page.

Do not attempt to compete in YMYL with generic content. Without a licence, specialists or genuine practice, ranking for diagnosis or litigation queries hits a ceiling regardless of word count.

Do not byline the company director on every article. One person cannot be an expert in cardiology, tax law and roof repair simultaneously — such a byline reduces trust rather than building it.

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