
Seo Content
This analyzes content quality through Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) and scores your AI citation readiness for platforms like ChatGPT and Perplexity. You get a breakdown of content metrics, word count against page type minimums, and specific flags for low-quality AI content markers. What's practical here is the dual focus: it checks both traditional SEO signals and newer GEO optimization for AI search visibility, which matters now that Google AI Mode shows zero organic links. The skill includes updated September 2025 QRG criteria and integrates with DataForSEO for keyword data if you have it configured.
- skills.sh installs
- 8.5K
- GitHub stars
- 27.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add agricidaniel/claude-seo --skill seo-content --agent claude-codeInstalls into .claude/skills of the current project.
Files
Content Quality & E-E-A-T Analysis
Google's "Who / How / Why" Test (canonical heuristic)
Before scoring E-E-A-T sub-factors, every page audit should pass Google's own three-question heuristic from the helpful-content guide:
| Question | What to look for |
|---|---|
| Who created it? | Visible byline, author bio page, professional credentials. Required where readers expect it; non-negotiable for YMYL. |
| How was it created? | Process disclosure where readers would reasonably ask, especially for AI-assisted content. Original research / first-hand evidence / lived experience. |
| Why does it exist? | "To help people" rather than "to attract search clicks." Watch for niche entry without expertise, content churn for freshness signals, content written to a word-count target. |
Primary source: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
When all three answers are weak, the page is at risk under the core ranking system's helpfulness signals (formerly the standalone Helpful Content System, merged into core during the March 2024 update).
E-E-A-T Framework (updated Sept 2025 QRG)
Sponsors
Details
- Repository
- github.com/agricidaniel/claude-seo
- Categories
- Code Review & Quality, Marketing & SEO
- First seen
- Apr 16, 2026
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