YMYL / E-E-A-T Audit

In fintech, crypto, and medtech, your content lives under Google's YMYL rules, where a single weak trust signal can keep you off page one and out of AI answers. I audit the experience, expertise, authoritativeness, and trust behind your site, then hand you a plan to build the credibility these niches demand.

Why YMYL Niches Play by Harder Rules

When your pages can affect someone's money or health, search engines and AI systems raise the bar. They look past the words on the page for proof that a real, qualified source stands behind the advice.

Get this wrong and the pattern is familiar: solid articles that never rank, steady decay after core updates, and AI answers that quote a competitor while ignoring you. The content isn't the problem. The trust signals around it are.

What I Audit

I assess every layer that Google's quality raters and AI models use to judge credibility:

• Experience and expertise — author identity, credentials, first-hand proof, and whether the person behind each claim is verifiable.
• Authoritativeness — how your brand and authors are cited, referenced, and recognized across the wider web.
• Trust signals — transparency, sourcing, disclaimers, contact and company details, and the on-page markers regulated niches require.
• Content accuracy — claims checked against authoritative sources, with outdated or unsupported statements flagged.
• AI citation readiness — whether answer engines can attribute your content to a source they trust enough to quote.

How I Work

I benchmark your site against the standards Google actually applies to YMYL topics and against the competitors that AI engines already cite. That comparison turns a vague sense of "we need more authority" into a specific, ranked gap list.

By mid-2026, AI answer engines are cautious in exactly these niches. They favor sources with clear authorship, real credentials, and consistent recognition elsewhere. The same signals that satisfy a human quality rater are the ones that make an AI model comfortable citing you, so I audit for both together.

What You Get

• A signal-by-signal scorecard covering experience, expertise, authoritativeness, and trust.
• A prioritized action plan that names the fastest credibility wins and the deeper investments worth making.
• Author and entity recommendations: how to present, verify, and connect the people behind your content.
• A citation-readiness review showing why AI engines cite competitors and what closes the gap.

Everything ties back to rankings and AI visibility, so you can see which trust investment pays off first.

Who This Is For

This audit is built for fintech, crypto, and medtech brands whose content quality outruns their rankings: platforms after an algorithm hit, companies entering regulated markets, and teams whose competitors dominate AI answers. If trust is your ceiling, this is where you raise it.

FAQ

What is the difference between E-E-A-T and YMYL? YMYL ("Your Money or Your Life") describes topics that can affect someone's finances, health, or safety. E-E-A-T (experience, expertise, authoritativeness, trust) is the framework Google uses to judge whether a source is credible enough to rank on those topics.

Can you fix E-E-A-T, or only audit it? This service delivers the audit and a prioritized plan. It maps exactly what to change and in what order. I can support implementation separately, but many teams take the plan and act on it with their own people.

Does E-E-A-T really affect AI citations? Yes. In sensitive niches, AI answer engines strongly prefer sources they can attribute and trust. Clear authorship, verifiable expertise, and outside recognition make your content far more likely to be cited rather than skipped.