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 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

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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 someone who has DONE it.

Signals to evaluate:

Signal	Points	How to Score
First-person accounts ("I tested...", "We implemented...")	5	5 if present and specific, 3 if generic, 0 if absent
Original research or data not available elsewhere	5	5 if original data, 3 if references original work, 0 if none
Case studies with specific results	4	4 if detailed with numbers, 2 if general, 0 if none
Screenshots, photos, or evidence of direct use	3	3 if authentic evidence, 1 if stock/generic, 0 if none
Specific examples from personal experience	4	4 if specific and unique, 2 if somewhat specific, 0 if generic
Demonstrations of process (not just outcome)	4	4 if step-by-step from experience, 2 if partial, 0 if none