Trust, E-E-A-T & Page Quality Signals
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is a framework Google uses in its Search Quality Rater Guidelines to evaluate page quality. E-E-A-T is not a direct ranking factor or score. It is a concept from Google's Search Quality Evaluator Guidelines representing qualities Google's algorithms aim to surface. E-E-A-T is assessed conceptually by human evaluators, not computationally as a metric.
This lesson covers the seven E-E-A-T and page quality areas (leaves 4.8.1–4.8.7): author bio placement, reviewer information, updated date visibility, citations and sources, editorial transparency, first-hand experience signals, and claims and evidence review.
After this lesson you can demonstrate Experience, Expertise, Authoritativeness, and Trustworthiness on every page through author bios, citations, transparency signals, and first-hand experience — especially critical for YMYL topics.
Why This Matters
- Google's helpful content system rewards content that demonstrates first-hand expertise and original insight.
- E-E-A-T indicators are especially important for "Your Money or Your Life" (YMYL) topics — health, finance, legal, safety.
- Pages with strong E-E-A-T indicators are more likely to rank in competitive verticals where trust is critical.
Author Bio Placement
Author bios provide information about who wrote the content and why they are qualified.
Author bio best practices:
| Practice | Recommendation |
|---|---|
| Full author name | Use a real name, not a brand or department name |
| Author page | Link to a dedicated author page with complete bio |
| Credentials | Include relevant credentials, experience, and expertise |
| Photo | A professional photo adds authenticity |
| Social / professional links | Linked to LinkedIn, institutional pages, or portfolio |
| Multiple authors | List all contributors (writer, reviewer, researcher) |
| Author schema | Use Person schema for the author |
Author schema example:
{
"@context": "https://schema.org",
"@type": "Person",
"name": "Jane Smith",
"description": "Senior Email Marketing Specialist with 12+ years of experience",
"sameAs": [
"https://www.linkedin.com/in/janesmith",
"https://twitter.com/janesmith"
],
"worksFor": {
"@type": "Organization",
"name": "ExampleCorp"
}
}
Reviewer Information
Reviewer information shows that content has been reviewed by a qualified person before publication.
Reviewer best practices:
| Practice | Recommendation |
|---|---|
| Review by subject expert | Content on specialized topics should be reviewed by someone with domain expertise |
| Reviewer credit | Display reviewer name and credentials alongside the author |
| Review date | Show when the content was last reviewed |
| Reviewer schema | Use Person schema for the reviewer |
| Medical/financial review | For YMYL topics, indicate the reviewer's medical or financial credentials |
Implementation example:
Author: Jane Smith, Email Marketing Specialist
Reviewed by: Dr. John Doe, PhD in Digital Marketing
Last reviewed: June 2025
Updated Date Visibility
Visible update dates signal that content is current and maintained.
Update date best practices:
| Practice | Recommendation |
|---|---|
| Show last updated date | Display "Last updated: June 2025" near the top of the content |
| Show original publication date | Display both published and updated dates if content has been refreshed |
| Use structured data | Include dateModified in Article schema |
| Update content before updating the date | Change the date only when the content has actually been refreshed |
| Avoid automatic date updates | Updating the date without updating the content is misleading |
Date display example:
Published: January 2025 | Updated: June 2025
Citations and Sources
Citations support factual claims and demonstrate that content is grounded in authoritative sources.
Citation best practices:
| Practice | Recommendation |
|---|---|
| Cite authoritative sources | Government data, academic research, industry standards, official documentation |
| Link to sources | Use hyperlinks to the original source (not just text attribution) |
| Use inline citations | "According to [Source], X% of businesses do Y." |
| Include a references section | List all sources at the end of the content |
| Use citation schema | Optional: use citation property in schema for academic-style references |
| Prefer primary sources | Original research, official data over secondary interpretations |
Citation example:
"According to the 2025 Email Marketing Statistics Report, personalized emails generate 6x higher transaction rates than non-personalized emails."
Editorial Transparency
Editorial transparency shows how content is created, reviewed, and maintained.
Transparency signals:
| Signal | Implementation |
|---|---|
| Editorial policy | Link to an editorial policy page explaining content creation and review processes |
| Disclosure | Disclose affiliate relationships, sponsored content, or conflicts of interest |
| Corrections | Show how and when content is corrected after publication |
| Content goals | Explain the purpose of the content (informational, educational, commercial) |
| AI disclosure | If AI-assisted content tools are used, disclose the extent and review process |
Transparency example:
Editorial Policy: Our content is created by subject matter experts and reviewed by editorial staff. We clearly label sponsored content. Corrections are noted below the article.
First-Hand Experience Signals
Google's helpful content system rewards content that demonstrates first-hand experience with the subject.
First-hand experience signals:
| Signal | Implementation |
|---|---|
| Personal experience | Include specific experiences: "When I worked with X clients, I found that..." |
| Specific details | Use concrete details only someone with direct experience would know |
| Case examples | Share anonymized or attributed case examples |
| Product use evidence | Show evidence of having used the product (images, data, specific features) |
| Original data | Include data from your own research or analysis |
| Photos/videos | Real photos of using the product or performing the task |
First-hand experience vs generic content:
| Generic | First-Hand Experience |
|---|---|
| "Email segmentation improves open rates." | "In our Q2 campaign, segmenting by purchase behavior improved open rates from 22% to 34%." |
| "Many tools offer automation features." | "We tested five email automation tools. Here is how each handles trigger-based campaigns." |
Claims and Evidence Review
Claims and evidence review ensures that assertions made in content are supported.
Review process:
- Identify all factual claims in the content: statistics, quotes, references to studies, performance assertions.
- Verify each claim against the original source.
- Update or remove unsupported claims — content with unsupported factual claims is perceived as lower quality.
- Add citations where claims can be supported.
- Review claims from competitors: if competitors cite evidence that you do not, your content may be perceived as less authoritative.
Claims to be especially careful with:
| Claim Type | Verification Required |
|---|---|
| Statistics | Confirm from original source (not secondary). |
| "Best" or "top" | Must be supported by methodology or evidence. |
| Causal claims | "X causes Y" requires evidence. |
| Time-based claims | "X is growing" requires trend data. |
| Comparison claims | "X is better than Y" requires comparison methodology. |
Workflow
- Audit current E-E-A-T indicators: Review author pages, citations, update dates, transparency signals.
- Implement foundational signals: Add author bios, update dates, citations to all pages.
- Add reviewer information: For YMYL pages, add reviewer credentials and dates.
- Review content for first-hand experience: Update generic language with specific experiences and data.
- Verify claims: Fact-check all statistical and factual claims.
- Create transparency pages: Editorial policy, corrections policy, disclosure policy.
- Monitor: Review how content is rated in quality evaluations.
Common Mistakes
- Adding author names without credentials: A name alone does not signal expertise. Include relevant qualifications.
Updating the date without refreshing the content is considered misleading by both users and search engines. Google may detect stale content that carries a recent date, which can erode trust rather than build it.
- Updating dates without updating content: Google may detect stale content with recent dates, harming trust.
- Making unsupported claims: "Our product is the best" without evidence harms credibility with both users and search engines.
- Ignoring E-E-A-T on YMYL topics: Health, finance, and legal content without strong E-E-A-T indicators will struggle to rank.
- Hiding affiliate or sponsored relationships: Failure to disclose can erode user trust and violate Google guidelines.
Checklist
- Author bio with credentials and photo is present on content pages.
- Reviewer information is present on YMYL pages.
- Updated dates are visible on all content.
- Factual claims are cited with links to authoritative sources.
- Editorial policy and disclosure statements are published.
- First-hand experience signals are included in content.
- All claims have been verified against original sources.
- Affiliate/sponsored relationships are disclosed.
- Corrections process is documented.