Trust and E-E-A-T: making your site believable

Google's quality guidelines revolve around E-E-A-T: Experience, Expertise, Authoritativeness, Trust. It's not a single ranking factor you can toggle — it's the framework Google's systems (and its human quality raters) use to decide whether your content deserves visibility, especially since the Helpful Content updates folded "who wrote this and why should I believe them" into core ranking.

And in 2026 there's a second consumer of trust signals: AI engines. When ChatGPT or Perplexity decides which source to cite, verifiable authorship, dates and provenance weigh heavily. The same work pays twice.

Show a real author, everywhere

Anonymous content is the cheapest thing on the internet — and ranked accordingly. Every substantial page should answer "who wrote this":

• A byline with a real name and photo on every article and guide.
• An author page (/about) with actual credentials: years of experience, real projects, links to profiles.
• Person schema connecting it all — the sameAs array is how machines verify you exist outside your own site:

const personSchema: WithContext<Person> = {
  "@context": "https://schema.org",
  "@type": "Person",
  "@id": `${baseUrl}/#person`,
  name: "Vlad Sedenko",
  jobTitle: "Web Product Developer",
  url: `${baseUrl}/about`,
  sameAs: [
    "https://www.linkedin.com/in/sedenko/",
    "https://github.com/your-handle",
  ],
  knowsAbout: ["Next.js", "Technical SEO", "Web performance"],
};

Reference the same @id from every article's author field so all your content links back to one verifiable identity.

Trust is structural, not decorative

• Organization schema in the root layout with legal name, logo and contact points.
• A contact page with real details — an email and company info, not just a form. Google's raters explicitly check for this; so do buyers.
• HTTPS everywhere with no mixed content — table stakes, but broken padlocks still kill trust instantly.
• A visible privacy policy and cookie policy (also a legal requirement in the EU).

Honest dates and maintained content

• Show datePublished and dateModified — on the page and in structured data. Only bump dateModified for real updates; faking freshness is detectable and erodes the signal.
• Outdated technical content is an anti-trust signal. A guide recommending deprecated APIs tells both Google and readers that nobody maintains this site. Schedule content reviews like you schedule dependency updates.

Cite sources and show receipts

• Link out to primary sources — documentation, studies, specs. Sites that cite are ranked as references, not content farms. Don't nofollow legitimate sources.
• Show first-hand experience — the first E. Real screenshots, real numbers from real projects, case studies with named outcomes. "We reduced LCP from 4.1s to 1.8s" beats a paragraph of generic advice — and it's exactly the kind of specific, verifiable claim AI engines quote.
• Testimonials and reviews with names and companies. Mark up genuine product reviews with Review/AggregateRating schema — but never fabricate them; fake review markup is a manual-action magnet.

Checklist:

• Every article has a named author with a byline linking to a real author page
• Person schema with sameAs to LinkedIn/GitHub; one @id referenced by all content
• Organization schema, real contact details, privacy policy in place
• dateModified visible and honest; outdated guides updated or pruned
• Sources linked; claims backed by first-hand numbers and case studies