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Have you ever wondered: two websites writing about the same topic, same length, same keywords — but ChatGPT only cites one of them? The answer lies in E-E-A-T.
E-E-A-T is not a new term for SEO practitioners, but many businesses are still applying it incorrectly — or worse, ignoring it entirely because they think "that's Google's problem." The reality: AI reads the same signals.
What Is E-E-A-T? The Four Letters That Changed How AI Evaluates Content
| Letter | Meaning | How AI evaluates it |
|---|---|---|
| E - Experience | Author's real-world experience | Real case studies, actual data, real photos |
| E - Expertise | Domain expertise | Degrees, certifications, years of experience |
| A - Authoritativeness | Industry authority | Being cited, mentioned in media, backlinks from trusted sources |
| T - Trustworthiness | Overall credibility | HTTPS, Privacy Policy, clear Contact, genuine reviews |
The first E — Experience — is the most important change since 2022. Google recognized that someone who has actually used a product, actually done that work, will write completely differently from someone who merely synthesizes information from textbooks. AI, which learns from web data, also picks up on this difference.
How AI Uses E-E-A-T Signals
AI doesn't read Google's E-E-A-T guidelines. But AI learns from billions of web pages — and in that training data, pages rated highly for E-E-A-T by Google appear more often and are cited more frequently by other sources.
Result: AI learns the pattern. Pages with clearly identified authors, organizations with clear histories, and content with real evidence — those are the pages AI "trusts" more.
For AI with real-time retrieval like ChatGPT Search, Perplexity, Gemini with Google Search:
- Sources with high domain authority are prioritized
- Authors with clear entities (full name, public profile) are prioritized
- Content cited by many other sources is prioritized
- Freshness (recently updated) is an important signal
YMYL — When E-E-A-T Standards Double
YMYL (Your Money or Your Life) covers topics where incorrect information can cause real harm to readers: healthcare, finance, law, food safety, children's education.
If your website is in one of these industries, AI applies a much stricter "trust filter." An article about medication without a doctor as the named author will not be cited by AI — even if the content is accurate. An investment advice article without risk disclaimers will be skipped by AI.
This is not something to fear — it's a natural competitive barrier that protects sites that genuinely invest in quality content.
Checklist: 12 E-E-A-T Signals You Need
| # | Signal | Type | Priority |
|---|---|---|---|
| 1 | Author page with real photo and bio | Experience | Required |
| 2 | Complete About page (team, history, achievements) | Authoritativeness | Required |
| 3 | Contact page with real address | Trustworthiness | Required |
| 4 | Privacy Policy and Terms | Trustworthiness | Required |
| 5 | HTTPS | Trustworthiness | Required |
| 6 | Person schema for each author | Expertise | Important |
| 7 | Organization schema | Authoritativeness | Important |
| 8 | Clearly displayed update date | Experience | Important |
| 9 | Case studies / real data | Experience | Important |
| 10 | Genuine customer reviews (named) | Trustworthiness | Important |
| 11 | Mentioned in industry press/blogs | Authoritativeness | Nice to have |
| 12 | Profile on LinkedIn/Wikidata | Expertise | Nice to have |
Person Schema — The Technical Foundation of E-E-A-T
Declaring an author is not just about writing someone's name under an article. You need to connect that author to a verifiable entity.
{
"@context": "https://schema.org",
"@type": "Person",
"@id": "https://aeosaigon.com/tac-gia/nguyen-van-an",
"name": "Nguyễn Văn An",
"jobTitle": "Chuyên gia AEO & SEO",
"description": "Hơn 8 năm kinh nghiệm tối ưu tìm kiếm cho doanh nghiệp B2B tại Việt Nam.",
"image": "https://aeosaigon.com/images/tac-gia/nguyen-van-an.jpg",
"url": "https://aeosaigon.com/tac-gia/nguyen-van-an",
"sameAs": [
"https://www.linkedin.com/in/nguyen-van-an-seo",
"https://twitter.com/nguyenvanan_seo"
],
"knowsAbout": [
"Answer Engine Optimization",
"Schema Markup",
"Content Strategy",
"AI Search"
],
"worksFor": {
"@type": "Organization",
"@id": "https://aeosaigon.com",
"name": "AEO Saigon"
}
}
This schema is placed in the <head> section of the author page and is referenced in the author field of each Article schema for posts they write.
Connecting Articles to Persons
In a post's Article schema, the author field should not be a plain string:
"author": {
"@type": "Person",
"@id": "https://aeosaigon.com/tac-gia/nguyen-van-an",
"name": "Nguyễn Văn An"
}
Using @id pointing to the author page helps AI recognize this is the same entity — not just a string of text that happens to share a name.
External Authoritativeness Signals
The hardest part of E-E-A-T to build is Authoritativeness — because it depends on how the outside world sees you, not what you declare about yourself.
Authoritativeness signals AI can read:
- Backlinks from trusted sources — being mentioned on VnExpress, Tuổi Trẻ, CafeBiz
- Being cited in academic papers or research
- Profile on Wikidata — especially important for AI because Wikidata is a major knowledge graph source
- Mentions on social media — not likes, but when others link to your content
- Guest posts on industry blogs — you appear as a visiting expert
For Vietnamese businesses, start with: registering a complete Google Business Profile, creating LinkedIn profiles for the organization and individuals, then pitching content to CafeBiz, Marketer, or major industry Facebook groups.
Experience Content — The Hardest Thing to Fake
AI is increasingly good at distinguishing content written from real experience versus generic synthesized content. Signs of high-Experience content:
- Specific data from real projects: "citation rate increased 34% after 3 months of implementing schema"
- Real photos: screenshot results, real work-in-progress photos
- Specific dates: "in June 2025, we tested with 12 client websites"
- Named quotes: name, title, and company of the person cited
- Acknowledging limitations: "this works well for B2B, not yet tested for e-commerce"
High-Experience-signal content is hard for AI content farms to copy and paste because it is tied to the unique context of the writer.
Take Action Today
If you don't know where to start, three actions with the highest impact:
- Create an author page with a real photo, 150-word bio, LinkedIn link, and Person schema — do this for one person currently writing your content this week.
- Update the About page with specific names of people on the team, not just "we are a professional company."
- Add dateModified to your 5 most important posts and update them with one piece of the latest information.
E-E-A-T cannot be built in a day — but every small step in the right direction accumulates into trust signals that AI will recognize over time.
Frequently asked questions
What is E-E-A-T and how is it different from the old E-A-T?
E-A-T (Expertise, Authoritativeness, Trustworthiness) has been used by Google since 2014. In 2022, Google added the first E — Experience. E-E-A-T emphasizes content from people with direct experience: a doctor who has treated patients, a user who has actually used the product. AI learns from web data, so content rated highly for E-E-A-T by Google is also what AI most often cites.
Does AI use E-E-A-T the same way Google does?
Not exactly, but similarly. AI learns from web data — pages rated highly for E-E-A-T by Google tend to appear more frequently in training data. For AI with real-time retrieval (ChatGPT Search, Perplexity), they prioritize sources with high domain authority, many citations from other sources, and authors with clear profiles.
Can small websites improve their E-E-A-T?
Yes. Focus on: (1) Authors with real profiles — name, photo, title, short bio, LinkedIn link; (2) Content from real experience — specific data, case studies, real photos; (3) Complete About and Contact pages; (4) Privacy Policy; (5) Consistent NAP on GBP and social media; (6) Genuine reviews from customers.
What is YMYL and why does it matter for E-E-A-T?
YMYL = Your Money or Your Life — content that affects the financial, health, safety, or legal wellbeing of readers. Google and AI apply much stricter E-E-A-T standards to YMYL. If your website is in healthcare, finance, law, or education — building E-E-A-T is not optional, it's mandatory.
How do I know if AI trusts my website?
Test by asking ChatGPT or Perplexity: 'Who are the experts in [your field] in Vietnam?' or '[Your topic], what are the most trustworthy sources?' If your website isn't mentioned, check: does the author have a profile, is the About page complete, has organization schema been declared, does anyone link to the site?
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