Geo Content

This evaluates whether your content will actually get cited by AI search platforms using Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness). It fetches your pages and scores them across four 25-point categories, checking for things like first-person accounts, author credentials, external citations, and contact information transparency. The December 2025 update means E-E-A-T now applies to all competitive queries, not just YMYL topics. You get a scored analysis in markdown format that tells you exactly which signals you're missing. Worth running if you're wondering why AI platforms skip your content even though it ranks in traditional search, or if you're trying to build topical authority that LLMs will actually reference.

skills.sh installs: 936
GitHub stars: 11.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-content --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Purpose

AI search platforms do not just find content — they evaluate whether content deserves to be cited. The primary framework for this evaluation is E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), which per Google's December 2025 Quality Rater Guidelines update now applies to ALL competitive queries, not just YMYL (Your Money Your Life) topics. Content that scores high on E-E-A-T is dramatically more likely to be cited by AI platforms.

This skill evaluates content through two lenses:

E-E-A-T signals — does the content demonstrate real expertise and trust?
AI citability — is the content structured so AI platforms can extract and cite specific claims?