geo-content
🤖 AI Summary
This skill evaluates web content against Google's E-E-A-T standards and AI citability criteria, then provides a structured assessment of whether the content is likely to be cited by AI search platforms.
How to Install
Claude Code:
git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude.git && cp geo-seo-claude/skills/geo-content ~/.claude/skills/geo-content -r# 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
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 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 |
**What to flag as weak Experience:**
- Content that only summarizes what other sources say without adding new perspective
- Generic advice that could apply to any situation ("It depends on your needs")
- No mention of actual usage, testing, or direct involvement
- Hedging language that suggests lack of direct knowledge ("reportedly", "supposedly", "some say")
### Expertise — 25 points
Demonstrated knowledge depth and professional competence in the subject matter.
**Signals to evaluate:**
| Signal | Points | How to Score |
|---|---|---|
| Author credentials visible (bio, degrees, certifications) | 5 | 5 if full credentials, 3 if basic bio, 0 if no author |
| Technical depth appropriate to topic | 5 | 5 if thorough technical treatment, 3 if adequate, 0 if superficial |
| Methodology explanation (how conclusions were reached) | 4 | 4 if clear methodology, 2 if som
Details
| Category | Docs → writing |
| Source | zubair-trabzada/geo-seo-claude |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 8.6K |
| Est. per Skill | 574 (shared across 15 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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