Qualityfreelancer
Human Experience
What it does
Assesses the text you paste in against Google's E-E-A-T criteria — experience, expertise, authority and trustworthiness. Provides concrete suggestions for each signal.
Your content lacks E-E-A-T signals
Google uses E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) as a framework for evaluating content quality. Content without clear E-E-A-T signals — no author info, no first-hand experience, no sources, no expertise proof — stands weaker, especially for YMYL topics (Your Money Your Life).
- No author information or expertise proof in the content
- Missing first-hand experience that distinguishes it from AI-generated content
- No sources, references or external validation
- Weak trustworthiness signals where Google applies its strictest requirements
Strengthen the E-E-A-T signals in your content
Human Experience assesses the text you paste in against Google's E-E-A-T criteria and gives concrete suggestions for strengthening each signal. Points out missing experience proof, expertise indicators, authority signals and trustworthiness elements.
- E-E-A-T assessment with a walkthrough of each criterion
- Experience: how to add first-hand experience and personal insights
- Expertise: qualifications, data and professional depth
- Trustworthiness: sources, references, transparency and author info
Features
- E-E-A-T assessment of experience, expertise, authority and trustworthiness
- Concrete suggestions for strengthening each E-E-A-T signal
- YMYL recognition with stricter requirements for sensitive topics
- Author profile recommendations for clearer expertise signals
How it works
- Paste the content you want assessed
- The AI goes through the text against all E-E-A-T criteria
- Get a report with an assessment per criterion and concrete improvement suggestions
Use cases
- SEO specialists optimizing content for Google's quality requirements
- Content creators wanting to distinguish their work from AI-generated content
- Companies in YMYL industries needing clear trustworthiness signals
Why use Human Experience?
E-E-A-T is the framework Google's quality raters use when assessing content. When a language model can produce thousands of articles in a short time, human experience and expertise is what separates a text from the rest. Google itself describes looking for content that demonstrates real experience — personal insights, case studies, details that presuppose someone has been there. Human Experience points out where your text lacks such signals.
The first E — Experience — is the newest. Google added "Experience" to its quality guidelines in 2022, specifically to distinguish content written by someone with real experience from content written by someone who only read about the topic. "I've used this tool for two years and discovered that..." is clearly stronger than "This tool can be used for...". The tool shows where you can add such experience proof.
YMYL content has little margin for weak E-E-A-T signals. If you write about health, finance, law or safety, Google expects clear proof of expertise and trustworthiness. An article about "best investment strategy" without author info, qualifications and sources stands weak. Human Experience flags YMYL content and assesses it against stricter requirements.
FAQ
- What is E-E-A-T?
- Google's framework for content quality: Experience (first-hand experience), Expertise (professional knowledge), Authoritativeness (industry recognition), Trustworthiness (credibility and transparency).
- What is YMYL?
- Your Money Your Life — topics that can affect health, finances or safety. Google applies stricter E-E-A-T requirements for YMYL content. Examples: medical advice, financial tips, legal information.
- How do I show first-hand experience?
- Share personal experiences, own results, case studies, photos from your own work, and specific details only someone with experience would know. "After testing 50 SEO tools over three years..." is stronger than "SEO tools can...".
- Is E-E-A-T a ranking factor?
- Not directly. E-E-A-T is the criteria Google's quality raters use when assessing search results, and it is used to calibrate the systems. Clear E-E-A-T signals align with what Google describes as quality content.
- How does AI content affect E-E-A-T?
- AI-generated content often lacks first-hand experience and personal insights. The tool points out where you should add human experience to distinguish the text from generic output.
Try Human Experience free