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)
Expertise (E)
Authoritativeness (A)
Trustworthiness (T)
E-E-A-T Score Calculation
| Dimension | Weight | Score (1-5) |
|---|
| Experience | 30% | × 0.30 |
| Expertise | 25% | × 0.25 |
| Authoritativeness | 25% | × 0.25 |
| Trustworthiness | 20% | × 0.20 |
| Total | 100% | /5.0 |
Score ≥ 4.0: Strong E-E-A-T, likely cited by AI
Score 3.0-4.0: Average, improve weakest dimension
Score < 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:
| Signal | Google Weight | AI Search Weight |
|---|
| Backlinks | Very High | Medium |
| Named Author | Medium | Very High |
| Specific Numbers | Low | Very High |
| External Citations | Medium | Very High |
| Freshness | High | Medium-High |
| Founder Voice | Low | Very High |
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:
- Added author bio to every article (named, credentialed)
- Restructured articles: direct answer first + key stats table
- Added 3 external authoritative citations per article
- Updated dateModified on all existing articles
- 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):
Author: Iris (@gingiris) — AFFiNE former COO, open source growth consultant
