E-E-A-T and Structured Data: Using Schema to Communicate Trust Signals to Google

E-E-A-T is how Google assesses trustworthiness — and structured data is one of the few ways to communicate it programmatically

Google's Search Quality Rater Guidelines describe E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. These are not direct ranking signals in the way that backlinks or Core Web Vitals are — they're qualities that Google's algorithms attempt to assess through multiple proxies. Structured data is one of the most direct and reliable ways to provide explicit, machine-readable signals about who created content, what organisation is behind a site, and what qualifications support the expertise claimed.

What E-E-A-T means in practice

Experience: demonstrated first-hand experience with the topic. A product review based on actually using the product carries more weight than a roundup written from research alone. Structured data can signal experience through author properties that reference real people with demonstrable histories.

Expertise: knowledge of the subject. Formal credentials (medical, legal, financial) are the most clear signal for YMYL (Your Money or Your Life) content. For other content, demonstrated knowledge and recognition are signals.

Authoritativeness: recognition by others in the field. Backlinks from authoritative sources, mentions, citations. Structured data contributes indirectly through consistent entity identity.

Trustworthiness: the most important of the four according to Google's guidelines. Transparency about authorship, clear contact information, editorial policies, privacy policies, and accurate information.

Author schema: connecting content to real people

The Person schema for an author, embedded in article pages, provides Google explicit author information that supports E-E-A-T assessment:

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Calculate Compound Interest",
  "author": {
    "@type": "Person",
    "name": "Sarah Chen",
    "url": "https://example.com/authors/sarah-chen/",
    "sameAs": [
      "https://www.linkedin.com/in/sarahchen-finance/",
      "https://twitter.com/sarahchenfinance",
      "https://en.wikipedia.org/wiki/Sarah_Chen"
    ],
    "jobTitle": "Certified Financial Planner",
    "knowsAbout": ["Personal Finance", "Investment Planning", "Retirement Planning"]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Example Finance",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  }
}

The sameAs property is particularly important — it connects the author entity to their presence on authoritative platforms (LinkedIn, Wikipedia, professional organisation pages), allowing Google to verify and enrich the entity's information from multiple sources.

Organisation schema: the foundation of site-level trust

Every website should have Organization (or LocalBusiness) schema at the domain level:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Company",
  "url": "https://example.com",
  "logo": "https://example.com/logo.png",
  "foundingDate": "2019",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+44-20-1234-5678",
    "contactType": "customer service",
    "areaServed": "GB",
    "availableLanguage": "English"
  },
  "sameAs": [
    "https://www.linkedin.com/company/example-company/",
    "https://twitter.com/examplecompany",
    "https://www.crunchbase.com/organization/example-company"
  ]
}

This schema:

• Establishes the organisation as a named entity Google can recognise
• Connects the website to the organisation's other web presences via sameAs
• Provides contact information that supports transparency signals
• Enables potential Knowledge Panel inclusion for brand searches

MedicalWebPage and HealthTopicContent: YMYL E-E-A-T signals

For health content specifically, Google has additional schema types that explicitly communicate medical credibility:

{
  "@type": "MedicalWebPage",
  "medicalAudience": {
    "@type": "PatientAudience"
  },
  "reviewedBy": {
    "@type": "Person",
    "name": "Dr. James Wilson",
    "honorificPrefix": "Dr.",
    "hasCredential": {
      "@type": "EducationalOccupationalCredential",
      "credentialCategory": "degree",
      "name": "MD"
    }
  },
  "lastReviewed": "2024-06-01"
}

The reviewedBy property signals that the content was reviewed by a qualified medical professional — a direct E-E-A-T signal for health content.

ClaimReview: structured data for fact-checking

For journalists, fact-checkers, and news publishers, ClaimReview schema marks up fact-checking articles:

{
  "@type": "ClaimReview",
  "claimReviewed": "The original claim being evaluated",
  "itemReviewed": {
    "@type": "Claim",
    "author": {
      "@type": "Person",
      "name": "Source person"
    }
  },
  "reviewRating": {
    "@type": "Rating",
    "ratingValue": "1",
    "bestRating": "5",
    "worstRating": "1",
    "alternateName": "False"
  }
}

ClaimReview can trigger fact-check labels in Google Search, providing significant SERP differentiation for authoritative fact-checking organisations.

Connecting entities across your site with consistent schema

One of the most powerful E-E-A-T applications of structured data is consistent entity identity across all content:

• Every article on a site uses the same publisher Organization reference
• Author profiles on the site use consistent Person schema with stable URLs
• The same sameAs URLs appear consistently across instances of the same entity

This consistency builds a clear entity graph that Google can use to confidently associate your content with the entities behind it.

How to use the Schema Generator on sadiqbd.com

1. Select the schema type — Article, FAQ, HowTo, Product, Organization, etc.
2. Fill in the properties — the generator prompts for relevant fields
3. Add E-E-A-T properties — author information, organization details, sameAs URLs
4. Generate JSON-LD — ready to paste into the page's <script type="application/ld+json"> block

Frequently Asked Questions

Does schema directly affect rankings? Schema doesn't directly boost rankings for most types. It can enable rich results (which improve CTR), and it helps Google accurately understand and attribute content (which supports E-E-A-T assessment). The indirect ranking effects come through improved entity recognition and potential rich result CTR.

Should I add author schema even for anonymous content? For YMYL topics (health, finance, legal, news), author information is essential — anonymously attributed health advice carries much lower E-E-A-T weight. For purely informational content on non-YMYL topics, author schema is still beneficial but less critical.

Is the Schema Generator free? Yes — completely free, no sign-up required.

Structured data is the machine-readable layer of E-E-A-T — it allows websites to explicitly communicate the who, what, and when of content authorship in a format Google can process programmatically, rather than relying solely on natural language interpretation.

Try the Schema Generator free at sadiqbd.com — generate JSON-LD structured data for any content type, with E-E-A-T properties for authors and organisations.