geo-content
geo-content evaluates your website's content against the E-E-A-T framework—experience, expertise, authoritativeness, and trustworthiness—to identify gaps and strengthen quality signals. Built for the modern search landscape where AI engines like ChatGPT, Claude, and Perplexity increasingly drive discovery, this skill bridges traditional SEO practices with AI-first optimization strategies.
geo-content evaluates your website's content against the E-E-A-T framework—experience, expertise, authoritativeness, and trustworthiness—to identify gaps and strengthen quality signals. The skill assesses whether your content demonstrates first-hand experience, author credentials, topical depth, and trustworthiness markers that AI search engines like ChatGPT, Claude, and Perplexity prioritize when selecting sources for citations and answers.
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Install
zubair-trabzada/geo-seo-claude/geo-content · repository language: Python
git clone https://github.com/zubair-trabzada/geo-seo-claude
cp -r geo-seo-claude/skills/geo-content ~/.claude/skills/geo-contentFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How to evaluate content quality for AI search using geo-content?
geo-content evaluates your website's content against the E-E-A-T framework—experience, expertise, authoritativeness, and trustworthiness—to identify gaps and strengthen quality signals. The skill assesses whether your content demonstrates first-hand experience, author credentials, topical depth, and trustworthiness markers that AI search engines like ChatGPT, Claude, and Perplexity prioritize when selecting sources for citations and answers.
What E-E-A-T signals does geo-content measure?
geo-content evaluates all four E-E-A-T dimensions: Experience (first-hand knowledge and practical demonstration), Expertise (author credentials and subject mastery), Authoritativeness (topical authority, citations, and domain reputation), and Trustworthiness (transparency, accuracy signals, and content freshness). Together, these signals determine how likely AI platforms are to cite and rank your content.
How can geo-content help improve content citability for AI?
geo-content identifies structural and content gaps that reduce AI citability. It analyzes paragraph organization, author attribution clarity, topical comprehensiveness, and trustworthiness markers. By strengthening these elements—such as adding author expertise credentials, improving content structure for AI parsing, and ensuring topical depth—your content becomes more discoverable and citable by AI search platforms.
Can geo-content detect low-quality AI-generated content?
geo-content includes pattern detection for low-quality AI-generated content, analyzing factors like generic phrasing, lack of first-hand experience, missing author attribution, and structural inconsistencies. While this is a secondary capability, it helps you audit your own content and competitors' content to ensure quality standards align with what AI search engines reward.
What content quality metrics does geo-content provide?
geo-content delivers scores across experience, expertise, authoritativeness, and trustworthiness dimensions, plus topical authority assessment and content comprehensiveness analysis. These metrics reveal which E-E-A-T pillars are strong and which need reinforcement, guiding your content strategy for both traditional SEO and AI-first discovery platforms.
Is geo-content open source and what license does it use?
Yes, geo-content is released under the MIT license, making it freely available for commercial and personal use with minimal restrictions. This open-source approach enables developers and content teams to integrate E-E-A-T evaluation directly into their workflows and platforms.
SKILL.md
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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: 1. E-E-A-T signals — does the content demonstrate real expertise and trust? 2. AI citability — is the content structured so AI platforms can extract and cite specific claims?
How to Use This Skill
- Fetch the target page(s) — homepage, key blog posts,
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skills/geo-content/SKILL.md