---
title: "E-E-A-T, author pages and quality signals"
description: "What E-E-A-T is E-E-A-T stands for Experience, Expertise, Authoritativeness and Trust . It comes from Google's Search Quality Rater Guidelines , used by…"
url: https://optimizeall.com/learn/digital-pr-and-brand-authority/eeat-author-pages-and-quality
updated: 2026-10-05
---

Digital PR, Brand Mentions & E-E-A-T · Entities, brand signals and E-E-A-T · lesson 10 of 14 · 14 min

# E-E-A-T, author pages and quality signals

## What E-E-A-T is

**E-E-A-T** stands for **Experience, Expertise, Authoritativeness and Trust**. It comes from Google's **Search Quality Rater Guidelines**, used by human raters who evaluate search results to help Google test and improve its systems. Key points:

- E-E-A-T is a **framework for assessing quality**, not a single ranking factor or score. Google has said its systems use a mix of signals that align with what raters would consider E-E-A-T.
- **Trust** is the most important element; experience, expertise and authoritativeness support it.
- The bar is highest for **YMYL (Your Money or Your Life)** topics — health, finance, safety, legal, civic information — where poor content could harm people.

## The four components

| Component | Question | Evidence examples |
|---|---|---|
| **Experience** | Has the creator actually used, done or lived this? | First-hand photos, original test results, "we tried it for three months" details, case studies |
| **Expertise** | Does the creator have the knowledge or skill? | Qualifications, professional role, track record, depth and accuracy |
| **Authoritativeness** | Is the creator or site a go-to source? | Citations by others, reputable coverage, industry recognition |
| **Trust** | Is the page accurate, honest, safe and reliable? | Clear sourcing, transparency about who is behind it, secure checkout, policies, corrections |

## Google's "Who, How, Why" questions

Google's guidance on helpful content suggests asking:

- **Who** created the content? Make it self-evident — bylines, author pages.
- **How** was it created? Explain methodology, testing, and where appropriate, how automation or AI was used.
- **Why** was it created? Primarily to help people, not to manipulate rankings.

Using AI to help create content is not against Google's guidelines; using automation primarily to manipulate rankings (scaled content abuse) is. Where readers would reasonably expect to know how content was produced, disclosure helps trust.

## Author pages that work

For every author and expert:

```text
/team/sara-ahmed/
- Name, headshot, role
- Short bio: experience in specifics ("has run technical SEO for 40+ e-commerce migrations")
- Credentials and qualifications (with verifiable links)
- Areas of expertise (topic list)
- Links to official profiles (LinkedIn, professional bodies)
- Selected publications, talks, media coverage
- List of their articles on this site
```

Add `Person` structured data and reference it from articles:

```json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to plan a hreflang rollout for a bilingual store",
  "author": {
    "@type": "Person",
    "@id": "https://www.example.com/team/sara-ahmed#person",
    "name": "Sara Ahmed",
    "url": "https://www.example.com/team/sara-ahmed/",
    "jobTitle": "Head of Technical SEO",
    "sameAs": ["https://www.linkedin.com/in/example-sara-ahmed"]
  },
  "publisher": {"@id": "https://www.example.com/#organization"},
  "datePublished": "2026-02-10",
  "dateModified": "2026-03-01"
}
```

Markup does not create expertise; it describes it. The underlying reality — real experts, real experience — is what matters.

## Site-level trust signals

- **About page** with the real people and organization behind the site.
- **Contact information** that works (address, phone, email appropriate to the business).
- **Editorial policy**: how content is researched, reviewed, updated and corrected.
- **Review process for YMYL**: e.g. "Medically reviewed by Dr. ..." — only if genuinely done.
- **Customer service and policies**: returns, shipping, privacy, terms — especially for e-commerce.
- **Transparent monetization**: affiliate disclosures, sponsored content labels.
- **Accuracy**: cite sources, update outdated content, show dates honestly.

## Off-site E-E-A-T

Raters are asked to look for independent information about a site and its creators: news coverage, reviews, awards, professional bodies, Wikipedia where applicable. This is where digital PR, thought leadership and reputation management directly support quality perception.

## An E-E-A-T review for a page

1. Is the author clear, and are their experience and expertise evident and verifiable?
2. Does the content show first-hand experience (original photos, data, examples)?
3. Are claims sourced and accurate? Are dates honest?
4. Is the purpose to help the reader, with commercial intent transparent?
5. Would the site be trusted by someone checking independent reviews and coverage?
6. For YMYL, is there appropriate expert review?

## Common mistakes

- Fake author personas or stock-photo "experts".
- Adding "reviewed by" labels without real review.
- Updating the date without updating the content.
- Treating E-E-A-T as a checklist of schema tags.

## Hands-on: an author page and byline system that proves "who"

**1. Build one profile page per author or expert**, following the structure above, at a stable URL (`/team/sara-ahmed/`). Include a real headshot, specific experience, verifiable credentials and links to official profiles.

**2. Add a consistent byline block to every article**, linking to the profile page:

```text
By Sara Ahmed, Head of Technical SEO — 12 years running technical SEO for retail sites
Reviewed by Dr. Omar Khalid, Data Protection Counsel (for articles on privacy law) — only if a genuine review happened
Published: 2026-02-10 · Updated: 2026-03-01 (what changed: updated screenshots and the Q1 data)
```

**3. Mark it up.** Reference the Person `@id` from each Article's `author`, and the Organization `@id` as `publisher` (see the example above). Keep one Person entity per real person across the site.

**4. Publish an editorial policy page** describing how content is researched, who reviews it (especially for YMYL topics), how AI tools are used, how corrections work and how often content is reviewed.

```text
EDITORIAL POLICY (outline)
Who writes: named staff experts and vetted contributors (bios linked)
How we research: primary sources, original testing/data; sources cited in-text
Expert review: YMYL articles reviewed by a qualified professional before publishing
Use of AI: we use AI tools to help with research summaries, outlines and editing; every article is
           written or substantially edited, fact-checked and approved by a named author
Corrections: email <address>; corrections noted at the end of the article with date
Updates: key articles reviewed at least every 12 months; "Updated" date changes only with real changes
```

## A quick E-E-A-T gap audit with an AI assistant

You can ask an AI assistant to compare a page against Google's "Who, How, Why" questions. It can't verify credentials or experience, so use it to find gaps, then fill them with real evidence:

```text
Review this article (pasted) and its author box. Using Google's "Who, How, Why" questions for helpful
content, list what a skeptical reader could NOT verify: who wrote it and why they're qualified, how the
information was produced (testing, data, sources), and why it exists. Suggest specific evidence to add.
Do not invent credentials or claims.
```

## How to measure success

Track the share of articles with a named author linked to a complete profile, YMYL articles with documented expert review, pages with accurate "updated" dates, and — over time — branded and author-name searches, citations of your experts, and the performance of your most important informational pages after quality improvements.

## Video lecture: E-E-A-T, author pages and quality signals

Lecture coming soon · 11 chapters · about 8 minutes. Read the full transcript below.

1. E-E-A-T, author pages and quality
2. What E-E-A-T is
3. YMYL + the four components
4. Who, How, Why
5. Author pages that work
6. Site-level and off-site trust
7. Worked example 1: UK finance blog
8. Worked example 2: dental group (illustrative)
9. Watch me do it: author system + gap audit
10. Common mistakes and measures
11. Recap and try this now

## Lecture transcript

### E-E-A-T, author pages and quality

Imagine two articles about managing your savings during high inflation. One is by Team Editorial, with a stock photo. The other is by a named, chartered financial planner with fifteen years of experience, links to her professional registration, real examples from her practice, clear sources, and a note saying it was reviewed last month. Which do you trust with your money? That instinct is exactly what Google's quality framework describes. In this lecture, you'll learn what E-E-A-T really is and isn't, the four components, YMYL topics, Google's who, how and why questions, and how to build author pages, bylines, markup and an editorial policy that prove it.

### What E-E-A-T is

E-E-A-T stands for experience, expertise, authoritativeness and trust. It comes from Google's search quality rater guidelines, used by human raters who evaluate search results to help Google test and improve its systems. Key points. E-E-A-T is a framework for assessing quality, not a single ranking factor or score. Google has said its systems use a mix of signals that align with what raters would consider E-E-A-T. Trust is the most important element, and experience, expertise and authoritativeness support it. Think of it like a doctor's office. The certificates on the wall matter. But what you really trust is that the doctor is honest, careful and has seen cases like yours.

### YMYL + the four components

The bar is highest for YMYL topics: your money or your life. That means health, finance, safety, legal and civic information, where poor content could harm people. Now the four components. Experience: has the creator actually used, done or lived this? First-hand photos, original test results, case studies. Expertise: does the creator have the knowledge or skill? Qualifications, professional role, track record. Authoritativeness: is the creator or site a go-to source? Citations by others, reputable coverage, recognition. And trust: is the page accurate, honest, safe and reliable? Clear sourcing, transparency about who's behind it, secure checkout, policies and corrections.

### Who, How, Why

Google's guidance on helpful content suggests three questions. Who created the content? Make it self-evident, with bylines and author pages. How was it created? Explain your methodology, testing and, where appropriate, how automation or AI was used. Why was it created? Primarily to help people, not to manipulate rankings. And a clarification about AI. Using AI to help create content is not against Google's guidelines. Using automation to mass-produce pages primarily to manipulate rankings is, and Google calls that scaled content abuse. Where readers would reasonably expect to know how content was made, disclosure helps trust.

### Author pages that work

Author pages that work. For every author and expert: name, headshot and role. A short bio with specific experience, like has run technical SEO for more than forty e-commerce migrations. Credentials with verifiable links. Areas of expertise. Links to official profiles and professional bodies. Selected publications, talks and coverage. And a list of their articles on your site. Then add Person structured data, and reference it from each article's author field, with your Organization as the publisher. Remember, markup doesn't create expertise. It describes it. The underlying reality, real experts with real experience, is what matters.

### Site-level and off-site trust

Site-level trust. An about page with the real people and organization behind the site. Contact information that works. An editorial policy explaining how content is researched, reviewed, updated and corrected, and how AI tools are used. A genuine review process for YMYL, like medically reviewed by a named doctor, only if it really happened. Customer service and policies, especially for e-commerce. Transparent monetization, with affiliate and sponsored labels. And honest dates. Updating the date without updating the content is a trust failure. Off-site matters too. Raters are asked to look for independent information: news coverage, reviews, awards and professional bodies. That's where digital PR supports quality directly.

### Worked example 1: UK finance blog

Worked example one, simple. A personal finance blog in the UK has articles by the editorial team. The fixes: every article gets a named author linked to a profile page with real credentials and experience. Articles on pensions and tax are reviewed by a qualified professional, named, with their registration linked. Sources are cited in the text. An editorial policy explains how AI helps with outlines and editing, and that every article is written or substantially edited, fact-checked and approved by a named person. And the updated date changes only when the content actually changes.

### Worked example 2: dental group (illustrative)

Worked example two, a business scenario with illustrative details. A dental clinic group in Riyadh publishes patient guides in Arabic and English. An audit shows that guides are anonymous, some advice is outdated, and a medically reviewed label appears on pages no dentist actually reviewed. That last one is a serious trust problem. The team removes the false labels immediately, assigns each guide to a named dentist who reviews and signs off, adds author pages with licenses and experience, updates outdated advice, and publishes an editorial policy in both languages. Patient questions to reception about the guides drop, and the guides start appearing in local health coverage.

### Watch me do it: author system + gap audit

Watch me do it. I create a profile page for our head of technical SEO at a stable URL, with a real headshot, a specific bio, credentials and official profile links. Then I add a byline block to every one of her articles: name, role, a one-line credential, published date, and an updated date with a note on what changed. I add Person markup with an at-id and reference it from each article's author field. Next, I paste one article and its author box into an AI assistant and ask it to list what a skeptical reader couldn't verify, using Google's who, how and why questions, without inventing credentials. It points out our testing method isn't described. I add a method section with real screenshots.

### Common mistakes and measures

Common mistakes. Fake author personas or stock-photo experts. Reviewed by labels without real review. Updating the date without updating the content. Treating E-E-A-T as a checklist of schema tags. And publishing AI-generated articles at scale with thin human input. How do you measure success? The share of articles with a named author linked to a complete profile. YMYL articles with documented expert review. Pages with accurate updated dates. And over time, searches for your brand and authors, citations of your experts, and how your key informational pages perform after quality improvements.

### Recap and try this now

Let's recap. E-E-A-T is a quality framework from the rater guidelines, not a single ranking score, and trust matters most. YMYL topics need the highest standards. Make who, how and why obvious, with author pages, verifiable credentials, bylines, Person markup and an editorial policy that explains how AI is used. Build site-level trust, and let digital PR build the off-site reputation raters look for. Try this now. Audit one article against the six-question E-E-A-T review in the lesson, then rewrite its author box and build or improve the author's profile page.

## Key takeaways

- E-E-A-T is a quality framework from the rater guidelines, not a single ranking score; trust matters most.
- YMYL topics require the highest standards of expertise and trust.
- Author pages with verifiable experience, credentials and profile links, plus Person markup, make the 'who' clear.
- Site-level trust (policies, contact, editorial standards) and off-site reputation both matter.

## Try it

Audit one article against the six-question E-E-A-T review and rewrite its author box and author page.

- [Previous: Entities and brand signals](https://optimizeall.com/learn/digital-pr-and-brand-authority/entities-and-brand-signals)
- [Next: Brand mentions in AI search and LLM answers: measure and improve](https://optimizeall.com/learn/digital-pr-and-brand-authority/brand-mentions-in-ai-search)
- [All lessons of Digital PR, Brand Mentions & E-E-A-T](https://optimizeall.com/learn/digital-pr-and-brand-authority)