GEO Content Quality & E-E-A-T Assessment

GEO Content Quality & E-E-A-T Assessment

What Is This

The GEO Content Quality & E-E-A-T Assessment skill is a specialized tool designed to evaluate the quality and credibility of digital content, with a focus on how likely it is to be cited by AI-driven search platforms. This skill systematically assesses content using Google's E-E-A-T framework-Experience, Expertise, Authoritativeness, and Trustworthiness-alongside key content quality metrics that influence AI citability. The skill is tailored for use within the Happycapy Skills platform, leveraging automation to audit web pages, blogs, and other online resources for both human and AI standards.

The assessment is based on the most recent Google Quality Rater Guidelines, where E-E-A-T is now a universal criterion for all competitive search queries. The evaluation process is not limited to YMYL (Your Money Your Life) topics, making it essential for any website seeking topical authority and AI-driven traffic.

Why Use It

Modern search engines, especially those integrating AI, are increasingly selective in what content they choose to cite. High E-E-A-T scores significantly enhance the likelihood of your content being recommended, surfaced, or directly referenced by AI models. This skill provides a structured, repeatable process to:

• Identify gaps in E-E-A-T and content structure
• Quantitatively score your website or articles for AI citability
• Support compliance with the latest search engine guidelines
• Improve both the user and machine readability of your content
• Enhance topical authority across your domain

By integrating this skill into your content workflow, you ensure that your digital assets are not only optimized for traditional SEO but also for the evolving landscape of AI-powered search.

How to Use It

1. Fetch Target Pages
   Use the skill’s allowed tools (Read, Grep, Glob, Bash, WebFetch, Write) to retrieve the target URLs (e.g., homepage, blog posts, product pages).

2. E-E-A-T Evaluation
   Assess each page across the four dimensions of E-E-A-T:

   • Experience: Evidence of first-hand knowledge, original research, or practical insights
   • Expertise: Credentials, professional background, or specialized knowledge
   • Authoritativeness: Recognition by others in the field (citations, backlinks, mentions)
   • Trustworthiness: Transparency, factual accuracy, clear authorship, and verifiable claims
     Assign 25% weight to each factor, then aggregate for a total E-E-A-T score.

3. Content Quality Metrics
   Evaluate:

   • Structure: Use of headings, logical flow, and organization
   • Readability: Clarity, conciseness, and grammar
   • Depth: Coverage of topic, examples, and supporting data

4. AI Content Quality Signals
   Check for:

   • Structured data (schema.org, JSON-LD)
   • Explicit citations and references
   • Machine-readable claim markup (where applicable)

5. Topical Authority Assessment
   Analyze the breadth and depth of coverage on the domain. Determine if the site demonstrates comprehensive knowledge on its primary topics.

6. Generate Report
   Output all findings and scores to a markdown file named GEO-CONTENT-ANALYSIS.md, which can be reviewed or shared with stakeholders.

Example Command:

WebFetch https://example.com/blog/ai-seo-best-practices | \
Grep -i "author" | \
Write GEO-CONTENT-ANALYSIS.md

When to Use It

• During content audits before major site updates or launches
• Prior to submitting pages for AI indexing or large-scale SEO campaigns
• When troubleshooting declining organic or AI-driven traffic
• For ongoing quality assurance in content production workflows
• To benchmark against competitors’ E-E-A-T and topical authority

Important Notes

• This skill evaluates only what is present on the page. Omitted credentials, sources, or structured data will negatively affect the score.
• Regularly update your assessment process to align with evolving Google and AI platform guidelines.
• For best results, combine this skill with manual review and subject-matter expert input.
• The output, GEO-CONTENT-ANALYSIS.md, is designed to be actionable for both content creators and technical teams seeking to improve AI citability.
• AI-generated or automated content should always be transparently labeled and fact-checked to maintain high trustworthiness scores.

By systematically applying the GEO Content Quality & E-E-A-T Assessment skill, you position your website or content assets for optimal discoverability and credibility in both human and AI-driven search environments.