Assess experience, expertise, authority, and trust signals
Upload your author bios, credentials, and trust documentation as context, then run workflows that evaluate each page for E-E-A-T signals - the quality criteria Google's reviewers use.
Illustrative preview - actual platform experience may differ.
How it works
Your trust documentation meets AI assessment at scale.
Upload trust documentation
Add author bios, certifications, company credentials, and industry expertise documents as context. These become the AI's reference for what constitutes authority.
Assess each page
Workflows evaluate pages for experience indicators, expertise signals, authoritative sourcing, and trust elements like citations, author attribution, and transparency.
Identify gaps
Get reports showing which pages lack E-E-A-T signals and what specific additions would strengthen them. Your team decides which improvements to prioritize.
What you can do
Experience signal detection
Ask the AI to identify first-hand experience indicators in your content - personal anecdotes, original data, case studies, and evidence that the author has actually done what they're writing about.
Expertise evaluation
Workflows compare page content against uploaded author credentials and industry documentation. Surface pages where claimed expertise isn't supported by the author's background.
Authority scoring
Evaluate whether pages cite authoritative sources, reference recognized institutions, and demonstrate depth that goes beyond surface-level coverage of the topic.
Trust element checking
Check for trust signals: clear author attribution, publication dates, editorial policies, source citations, and transparency about methodology or data sources.
Author attribution audit
Find pages missing author bios, lacking credentials, or attributed to generic bylines. The AI flags where adding real authorship would strengthen E-E-A-T signals.
YMYL page prioritization
Automatically flag Your Money or Your Life pages where E-E-A-T standards are highest. Prioritize health, finance, legal, and safety content for the most thorough assessment.
Frequently asked questions
What is E-E-A-T?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's the framework Google's quality raters use to evaluate content quality. Pages that demonstrate strong E-E-A-T signals tend to rank better, especially for YMYL (Your Money, Your Life) topics.
How does Morrison assess E-E-A-T?
You upload author bios, credentials, and trust documentation as context. Morrison workflows then check each page for experience indicators, expertise signals, authoritative sourcing, and trust elements like citations and author attribution.
Is E-E-A-T a ranking factor?
E-E-A-T itself isn't a direct ranking signal, but it reflects the qualities that Google's algorithms are designed to reward. Pages that lack E-E-A-T signals often struggle to rank for competitive queries, especially in health, finance, and legal topics.
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