geo-content

# 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), from Google's Search Quality Rater Guidelines. E-E-A-T began as a YMYL (Your Money Your Life) lens but is now widely applied by raters well beyond YMYL topics; treat strong E-E-A-T as table stakes for any competitive query. Content that scores high on E-E-A-T is materially more likely to be cited by AI platforms. (See [`docs/SOURCES.md`](../../docs/SOURCES.md) for the guidelines reference and dates.) 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 1. Fetch the target page(s) — homepage, key blog posts, service/product pages 2. Evaluate E-E-A-T across the 4 dimensions (25% each) 3. Assess content quality metrics (structure, readability, depth) 4. Check for AI content quality signals 5. Evaluate topical authority across the site 6. Score and generate GEO-CONTENT-ANALYSIS.md --- ## E-E-A-T Framework (100 points total) ### Experience — 25 points First-hand knowledge and direct involvement with the topic. AI platforms increasingly distinguish between content that reports on a topic and content from som...