🏆 E-A-T Optimization Guide

Build Expertise, Authoritativeness, and Trustworthiness to improve your search rankings and establish credibility with your audience

The Three Pillars of E-A-T

🎓

Expertise

Demonstrate deep knowledge in your field

How to Build Expertise:

  • Add detailed author bios with credentials
  • Showcase educational background
  • Include professional certifications
  • Display years of experience
  • Create in-depth, well-researched content
  • Cite primary sources and studies
  • Provide unique insights and analysis
👑

Authoritativeness

Be recognized as an industry leader

How to Build Authority:

  • Earn backlinks from reputable sites
  • Get mentioned in industry publications
  • Build a strong social media presence
  • Speak at conferences and events
  • Collaborate with known experts
  • Publish original research
  • Maintain consistent brand messaging
🛡️

Trustworthiness

Create a safe and reliable experience

How to Build Trust:

  • Use HTTPS encryption
  • Display clear contact information
  • Have transparent privacy policies
  • Show customer reviews and testimonials
  • Display trust badges and certifications
  • Correct errors promptly
  • Provide accurate, fact-checked content

⚠️ YMYL (Your Money or Your Life) Content

E-A-T is especially critical for YMYL topics that could impact health, finances, or safety.

💊
Health & Medical
💰
Financial Advice
⚖️
Legal Information
🛡️
Safety Topics

📝 Example Author Bio

👨‍⚕️

Dr. Michael Chen, PhD

Mycology Researcher & Psychedelic Science Expert

Dr. Chen has over 15 years of experience in mycology research. He completed his PhD at Johns Hopkins University and has published 40+ peer-reviewed papers on psilocybin therapy. He currently serves as a consultant for several clinical trials.

PhD Mycology Johns Hopkins 40+ Publications 15 Years Experience

📋 Author Schema Markup

Person Schema (JSON-LD)
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Dr. Michael Chen",
  "jobTitle": "Mycology Researcher",
  "description": "PhD in Mycology with 15 years experience",
  "alumniOf": {
    "@type": "CollegeOrUniversity",
    "name": "Johns Hopkins University"
  },
  "sameAs": [
    "https://twitter.com/drmchen",
    "https://linkedin.com/in/drmchen"
  ]
}

🛡️ Essential Trust Signals

🔒

HTTPS Security

SSL certificate shows users their data is encrypted and secure.

📞

Contact Information

Clear contact details including physical address and phone number.

📜

Privacy Policy

Transparent policies about data collection and usage.

Reviews & Testimonials

Real user feedback demonstrating value and credibility.

🏅

Certifications

Industry badges, awards, and professional memberships.

📚

Citations & Sources

Links to authoritative sources backing up claims.

✅ E-A-T Optimization Checklist

🎓 Expertise Checklist

  • Author bios on all content
  • Credentials clearly displayed
  • Education background shown
  • Content cites primary sources
  • Unique expert insights provided
  • Technical accuracy verified

👑 Authority Checklist

  • Quality backlink profile
  • Industry mentions/citations
  • Social proof visible
  • Brand consistency maintained
  • Expert collaborations featured
  • Original research published

🛡️ Trust Checklist

  • HTTPS enabled
  • Contact info accessible
  • Privacy policy linked
  • Terms of service available
  • Reviews/testimonials shown
  • Error correction process

❌ Common E-A-T Mistakes to Avoid

🚫 Anonymous Content

Publishing content without author attribution undermines credibility and expertise signals.

🚫 No Citations

Making claims without linking to reputable sources damages trustworthiness.

🚫 Outdated Information

Stale content with old facts or broken links hurts authority and trust.

🚫 Missing Contact Info

No way to reach your organization creates suspicion and reduces trust.

📚 E-A-T Resources

📖
Google Quality Rater Guidelines

Official documentation on E-A-T evaluation

🔧
Schema.org

Structured data vocabulary reference

📊
Search Console

Monitor search performance and issues

Rich Results Test

Validate structured data markup