Paste your page content or HTML source and get an instant score across all four E-E-A-T pillars. Find out exactly which trust, authority, expertise, and experience signals your content is missing.
Enter your content and target keyword
Signal-by-signal breakdown
Priority fixes
What Is an E-E-A-T Score Checker?
An E-E-A-T score checker is a tool that analyses your page content against Google's Experience, Expertise, Authoritativeness, and Trustworthiness framework. It scans for detectable on-page signals across all four pillars and gives you a score out of 100 with a list of specific fixes.
Google uses E-E-A-T as its primary framework for deciding whether content is high enough quality to rank well and be cited in AI-generated answers. Rather than treating it as one vague concept, our checker breaks it down into 20 measurable signals you can actually act on. You see exactly which pillar is weakest and what to fix first.
The tool supports both plain text and HTML source code. If you paste your full page HTML, it also detects schema markup, author meta tags, and structural signals that are invisible in plain text mode. This gives you the most complete picture of how Google and AI engines are likely to evaluate your page.
It also takes your content type into account. YMYL pages, which cover health, finance, law, or safety topics, are held to a considerably higher E-E-A-T standard by Google's quality raters. Our checker adjusts its guidance accordingly.
What Does E-E-A-T Stand For?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It is Google's framework for evaluating the quality and credibility of web content, as described in the Search Quality Rater Guidelines. Google added the second E for Experience in December 2022.
Here is what each pillar actually means in practice, and the signals our checker looks for under each one.
Experience
Experience asks whether the author has genuine first-hand involvement with the topic. This is the pillar Google added most recently, and it matters a lot in 2026 because AI can generate generic information at scale but cannot replicate lived experience. Our checker looks for signals like first-person language, personal examples, anecdotes, and original observations that show the content came from someone who actually knows the subject from direct involvement, not just research.
Expertise
Expertise looks at whether the content demonstrates deep, accurate subject knowledge. This includes the use of precise technical language, comprehensive coverage of a topic, accurate terminology, and content depth that goes beyond surface-level summaries. Our checker assesses whether the content covers the topic thoroughly, uses industry-relevant vocabulary, and provides the kind of detail that a genuine expert would include.
Authoritativeness
Authoritativeness measures how well the content signals that the author or site is a recognised, credible voice on the topic. Our checker looks for author attribution with credentials, references to credible external sources, citations of data or research, and structural signals like publication dates that indicate the content is maintained by an accountable person or organisation.
Trustworthiness
Trustworthiness is the most fundamental pillar. Google describes it as the most important of the four because a page can have experience and expertise but still be untrustworthy if it makes false claims, lacks transparency, or hides who is behind the content. Our checker looks for clear authorship, publication dates, external citations, contact or about-page references, and accuracy signals in the content.
Key fact: According to a Wellows study analysing 2,400 AI Overview citations, pages with strong E-E-A-T signals are 2.3 times more likely to be cited in AI-generated answers. Google's Danny Sullivan confirmed in January 2026 that "SEO for AI is still SEO" — the same trust and quality signals that drive organic rankings determine AI citation priority.
Why E-E-A-T Matters More Than Ever in 2026
E-E-A-T has always mattered for SEO. But in 2026 it has become the central battleground for visibility, for two reasons.
First, AI-generated content has flooded search results. When millions of pages are produced by tools that can write fluently on any topic without genuine knowledge, Google needs a reliable way to surface content that actually comes from real expertise and experience. E-E-A-T is that filter.
Second, AI search engines like ChatGPT, Perplexity, and Google AI Overviews use the same trust and quality signals when deciding what to cite. A page that scores poorly on E-E-A-T signals is unlikely to be cited in AI answers, regardless of how well it ranks in traditional search. This means E-E-A-T is now a requirement for two separate visibility channels at the same time.
The practical implications for content creators are clear.
- Generic, AI-written content without human expertise signals is getting filtered out by both Google's quality systems and AI citation engines.
- Author credentials, original data, and first-person experience are now among the most differentiating signals a page can have.
- YMYL content without strong E-E-A-T faces much steeper ranking and citation penalties than non-YMYL topics.
- Pages that already rank well on Google but have weak E-E-A-T signals are increasingly vulnerable to being displaced by pages with stronger trust signals, even if they have more backlinks.
The 20 Signals Our E-E-A-T Checker Analyses
Our tool checks 20 detectable on-page signals across all four pillars. Here is a breakdown of what we look for in each category and why each signal matters.
Experience signals (5 checks)
We check for first-person language that indicates the author's direct involvement, concrete real-world examples in the content, personal anecdotes or case study references, specific named experiences or scenarios, and language patterns associated with practical hands-on knowledge rather than secondhand research. Pages that demonstrate real experience are significantly more resistant to Google algorithm updates that target thin or AI-generated content.
Expertise signals (5 checks)
We check for deep topic coverage measured by word count and paragraph density, accurate use of technical or domain-specific terminology, comprehensive answers that leave no obvious gaps, a clear logical structure that reflects expert-level understanding, and content depth that goes well beyond what a quick summary would contain. Expertise is the pillar most directly linked to ranking stability in competitive niches.
Authoritativeness signals (5 checks)
We check for author attribution with name or credentials, external citations to credible sources, publication or update dates, data or statistics with attribution, and heading structures that reflect an authoritative, well-researched approach to the topic. Authoritativeness is evaluated both on-page and off-page, but these on-page signals give Google's systems the baseline they need to assess credibility.
Trustworthiness signals (5 checks)
We check for transparent authorship, consistent factual accuracy signals, clear publication dates, absence of misleading patterns, and structural transparency markers. When we detect HTML source code, we also check for Person schema, Article schema, author meta tags, and canonical tags, all of which contribute directly to the trustworthiness signals Google's systems read.
| Signal | Pillar | Impact | Easy to Add |
|---|---|---|---|
| Author name and credentials | Authoritativeness | Very High | Yes |
| Publication or update date | Trustworthiness | Very High | Yes |
| Statistics with cited sources | Authoritativeness | High | Moderate |
| First-person experience language | Experience | High | Yes |
| Concrete real-world examples | Experience | High | Yes |
| External links to credible sources | Authoritativeness | Medium | Yes |
| Technical or domain vocabulary | Expertise | Medium | Moderate |
| Word count 1000 or more | Expertise | Medium | Moderate |
| Person or Article schema markup | Trustworthiness | Medium | Yes |
| FAQ or How-To structure | Expertise | Medium | Yes |
How to Improve Your E-E-A-T Score: 9 Fixes That Work
Once you have run your content through the checker and identified which pillar is weakest, these are the highest-impact changes you can make. Start from the top and work down.
Fix 1: Add a proper author byline
This is the most important single fix for Authoritativeness and Trustworthiness. Add the author's full name somewhere visible on the page, ideally near the top. Even better, link it to an author bio page that lists credentials, experience, and links to other published work. Google's quality raters specifically look for this when evaluating who is responsible for the content.
Fix 2: Include first-person language and real examples
Phrases like "in my experience", "I have found", "when I tested this" and "one example I encountered" immediately signal to Google that the content comes from lived involvement rather than generic research. You do not need to turn every paragraph into a personal anecdote. Even two or three first-person touches per page makes a measurable difference to the Experience score.
Fix 3: Add a publication date and keep it updated
A clearly visible published date or "last updated" date on the page is a direct Trustworthiness and Authoritativeness signal. It tells Google the content is maintained, attributed, and accurate as of a specific point in time. Pages without dates are treated as potentially stale or unclaimed, which weakens trust signals significantly.
Fix 4: Cite specific statistics with sources
Generic claims like "SEO is important for traffic" score zero for Authoritativeness. Specific claims like "BrightEdge data shows AI Overviews now appear in 50% of Google searches" score very high. Add at least two or three specific, sourced statistics to any content page. Link to the original study or report where possible.
Fix 5: Add external links to credible sources
Linking to authoritative external sources — Google's own documentation, peer-reviewed studies, industry reports, official statistics — is a strong signal of both Expertise and Trustworthiness. It shows that the content is grounded in verifiable information, not just personal opinion. Aim for two to four external citations per page minimum.
Fix 6: Demonstrate deep topic coverage
Thin content is one of the fastest ways to score poorly on Expertise. Cover your topic completely, including the questions readers are most likely to have, the edge cases, the common mistakes, and the nuances. A page that answers the main question and then stops is significantly weaker for Expertise than one that also answers the follow-up questions. Use our AEO Readiness Checker to identify specific structural gaps.
Fix 7: Add a FAQ section
A FAQ section serves E-E-A-T in multiple ways. It demonstrates Expertise by showing you know what questions your audience has. It adds Authoritativeness by positioning the page as a comprehensive reference. And it creates a natural structure for FAQPage schema, which is a Trustworthiness signal in its own right. Add four to eight questions and answer each one directly and specifically.
Fix 8: Add Article or Person schema to your HTML
When you paste HTML source into the checker, it detects whether Article, BlogPosting, or Person schema is present. If it is not, that is a fixable gap. These schema types tell Google's systems exactly who wrote the content, when it was published, and what type of page it is. Use our free Schema Markup Generator to create the JSON-LD in a couple of minutes.
Fix 9: Use precise, domain-specific vocabulary
Generic language scores poorly for Expertise. Domain-specific terminology scores highly because it signals that the author understands the field well enough to use its proper vocabulary. You do not need to write for academics. You need to use the precise terms your topic requires rather than vague, general descriptions that could apply to anything.
E-E-A-T and AI Search: The Direct Connection
A lot of content creators still think of E-E-A-T as purely a Google SEO concern. In 2026, that framing is out of date. E-E-A-T signals now directly affect your visibility in AI-generated answers across ChatGPT, Perplexity, Gemini, and Claude.
AI answer engines are designed to cite credible, authoritative sources. They are trained on signals that overlap almost entirely with E-E-A-T criteria. A page with a named author, clear credentials, cited statistics, and comprehensive topic coverage is exactly what these systems are looking for when they decide which sources to reference in a generated response.
Here is how each pillar maps to AI citation likelihood.
| E-E-A-T Pillar | Why AI Engines Care | Citation Impact |
|---|---|---|
| Experience | Original insights that AI cannot replicate from training data alone | High |
| Expertise | Deep coverage reduces the risk of incomplete or inaccurate citations | High |
| Authoritativeness | Named authors and sourced data make citations more verifiable | Very High |
| Trustworthiness | Transparency signals reduce the risk AI associates with citing the source | Very High |
Pages that score 80 or above on our E-E-A-T checker consistently demonstrate the signals that both Google and AI citation engines treat as indicators of high-quality, citable content. This is why improving your E-E-A-T score is one of the most direct things you can do to improve your visibility in AI Overviews and AI chatbot answers.
What Is a Good E-E-A-T Score?
Our checker scores your content from 0 to 100 based on how many of the 20 signals your page passes. Here is how to interpret your result.
Keep in mind that on-page E-E-A-T signals are only half of the picture. Off-page signals like backlinks, brand mentions, author reputation across the web, and social proof also contribute significantly to how Google's systems ultimately evaluate a page. This tool checks everything that is detectable from the content itself.
E-E-A-T for YMYL Content: Why the Standard Is Higher
YMYL stands for Your Money or Your Life. Google uses this category to describe any content that could meaningfully affect a reader's health, financial situation, safety, or legal standing. This includes medical advice, financial guidance, legal information, news about major public events, and content that affects how people make important decisions.
For YMYL pages, Google's Search Quality Rater Guidelines apply the highest possible E-E-A-T bar. A general blog post about productivity tips with a weak author bio is unlikely to be penalised heavily. A page giving dietary advice or investment guidance without clear author credentials and sourced claims will be rated very poorly by quality raters, regardless of how well it is optimised for keywords.
If your content type is YMYL, the following signals become essential rather than just recommended.
- Named author with verifiable credentials in the relevant field
- Medical, financial, or legal review statement where applicable
- External citations from authoritative bodies such as government sites, medical journals, or regulatory organisations
- Clear publication and last-reviewed dates
- Transparency about the source's qualifications and potential conflicts of interest
Our checker applies stricter scoring when you select YMYL as your content type, reflecting the higher standard Google applies to these pages.