E-E-A-T SEO Optimization Guide

Build unshakeable authority signals for AI and Google search by Iris (@gingiris) — AFFiNE former COO, 30+ PH #1 launches

TL;DR

• E-E-A-T = Experience + Expertise + Authoritativeness + Trustworthiness
• AI engines (ChatGPT, Perplexity) use E-E-A-T to decide what to cite
• Named authors with credentials are the #1 E-E-A-T signal
• Specific, verifiable claims beat vague statements
• External citations from authoritative sources = your authority
• First-hand experience content gets cited 3x more than generic content

The E-E-A-T Framework

E — Experience

Did the author actually do this?

Signals:

• First-person narrative: "When I launched X..."
• Specific dates and places: "August 2022, in Berlin..."
• Actionable lessons from doing: "I tried X. Here's what happened."
• Screenshots, photos, data from your own work

Content style:

We ran this campaign in Q3 2025 with a $5,000 budget.
Our conversion rate dropped from 4.2% to 2.8% in week 2
after Google updated their core algorithm. Here's exactly 
what we did to recover — and the specific A/B test data.

E — Expertise

Does the author know this topic deeply?

Signals:

• Author bio with relevant credentials
• Consistent coverage of the topic over time
• Technical depth when needed
• Certifications or formal training (where relevant)

About the author: Sarah has managed $2M+ in ad spend 
across 50+ SaaS launches. She's certified in Google Ads 
and has been writing about growth since 2019.

A — Authoritativeness

Is the author recognized as a leader in this space?

Signals:

• External sites citing your content
• Guest posts on authoritative publications
• LinkedIn endorsements or testimonials
• GitHub stars, open source contributions
• Podcast appearances, interviews

This method was also covered in [TechCrunch](link),
[HackerNews](link), and recommended by [famous person](link).

T — Trustworthiness

Is the information accurate and safe to act on?

Signals:

• Contact page, about page, clear identity
• Privacy policy, terms of service
• Verifiable claims with data sources
• Corrections or updates to old content
• Secure (HTTPS) site

E-E-A-T Schema Markup

Person Schema (Author)

{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Author Name",
  "url": "https://author-website.com/about",
  "image": "https://author-website.com/photo.jpg",
  "sameAs": [
    "https://twitter.com/authorhandle",
    "https://linkedin.com/in/authorprofile",
    "https://github.com/authorhandle"
  ],
  "jobTitle": "Founder / Growth Consultant",
  "worksFor": {
    "@type": "Organization",
    "name": "Brand Name"
  }
}

Organization Schema

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Brand",
  "url": "https://yourbrand.com",
  "logo": "https://yourbrand.com/logo.png",
  "sameAs": [
    "https://twitter.com/brandhandle",
    "https://linkedin.com/company/brand"
  ]
}

Article Schema (Complete)

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://author-website.com/about"
  },
  "datePublished": "2026-04-10",
  "dateModified": "2026-04-10",
  "publisher": {
    "@type": "Organization",
    "name": "Your Brand",
    "logo": {
      "@type": "ImageObject",
      "url": "https://yourbrand.com/logo.png"
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://article-url.com"
  }
}

E-E-A-T Audit Framework

Audit Checklist

Experience (E)

• First-person experience mentioned in article?
• Specific dates, places, numbers used?
• Original data/screenshots from own work?
• Lessons from failures included?

Expertise (E)

• Author named and credentialed?
• Author bio page exists with topic expertise?
• Consistent topic coverage?
• Technical depth appropriate for topic?

Authoritativeness (A)

• Cited by external authoritative sites?
• LinkedIn profile optimized?
• GitHub profile (if dev topic)?
• Guest posts or interviews?

Trustworthiness (T)

• Contact page exists?
• HTTPS enabled?
• Privacy policy present?
• dateModified kept current?
• Claims are verifiable?

E-E-A-T Score Calculation

Score ≥ 4.0: Strong E-E-A-T, likely cited by AI Score 3.0-4.0: Average, improve weakest dimension Score \x3C 3.0: Critical gaps, AI unlikely to cite

Prompt Templates

Prompt: E-E-A-T Article Writer

Write an E-E-A-T-optimized article targeting: [keyword]

Experience layer:
- Open with first-person experience: "[When/Where] I [did X]..."
- Include specific numbers, dates, places from your experience
- Add "I tried this and here's what happened" sections

Expertise layer:
- Name the author with specific credentials in [topic]
- Show depth: don't just say "it's important", explain WHY
- Reference formal knowledge (courses, books, certifications)

Authoritativeness layer:
- Cite 3 authoritative external sources
- Link to your own related content (internal authority)
- Include social proof (mentions, testimonials)

Trustworthiness layer:
- Add datePublished AND dateModified to Article Schema
- Make every claim specific and verifiable
- Include About page link in author section

Output: Full article with complete schema markup (Person, Organization, Article).

Prompt: E-E-A-T Audit

Audit [URL] for E-E-A-T optimization:

For each dimension (E-E-A-T), rate 1-5 and give:
- Current score
- 2 specific examples from the page
- 1 prioritized fix

Also output:
- Overall E-E-A-T score
- Weakest dimension
- Top 3 actions to improve in next sprint

E-E-A-T for AI Search (ChatGPT, Perplexity)

AI engines weight E-E-A-T differently than Google:

AI SEO = E-E-A-T × Specificity

Generic content with strong backlinks won't get cited by AI. Specific, experience-rich content with moderate backlinks will.

Real Case Study

From 0 to 50 AI citations in 60 days:

1. Added author bio to every article (named, credentialed)
2. Restructured articles: direct answer first + key stats table
3. Added 3 external authoritative citations per article
4. Updated dateModified on all existing articles
5. Added FAQPage Schema to 20 key pages

Result:

• ChatGPT started citing content for "[keyword]" queries
• Perplexity cited 23 times in first month
• Organic traffic increased 40% from AI search referrals

Related Resources

Free Playbooks (GitHub):

• SEO & GEO Playbook: https://github.com/Gingiris/seo-geo-playbook
• Perplexity SEO: https://github.com/Gingiris/perplexity-seo
• ChatGPT SEO: https://github.com/Gingiris/chatgpt-seo
• Gingiris Launch: https://github.com/Gingiris/gingiris-launch
• Growth Tools: https://gingiris.github.io/growth-tools/

Author: Iris (@gingiris) — AFFiNE former COO, open source growth consultant