geo-content
Helps your agent assess content quality and experience. This ensures your content is trustworthy and well-structured.
What it does
This tool assesses the quality of a text to determine if it's trustworthy and suitable for use by artificial intelligence. It checks if the author shows real experience, deep knowledge, is recognized by others, and if the information is reliable.
When to use it
- ✓When writing an article for a blog or website.
- ✓When creating content for a product or service.
- ✓When reviewing text to ensure its credibility.
Example of what to ask your AI
“Assess the quality and trustworthiness of this article about organic gardening.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes the text for signs of real experience, technical knowledge, external recognition, and transparency. It checks if the author has actually done what they describe, if they have credentials, if other sources cite them, and if there are clear contact details and policies.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill geo-contentOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/geo-content/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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?
How to Use This Skill
- Fetch the target page(s) — homepage, key blog posts, service/product pages
- Evaluate E-E-A-T across the 4 dimensions (25% each)
- Assess content quality metrics (structure, readability, depth)
- Check for AI content quality signals
- Evaluate topical authority across the site
- 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 some explanation, 0 if none |
| Data-backed claims (statistics, research citations) | 4 | 4 if well-sourced, 2 if some data, 0 if unsupported claims |
| Industry-specific terminology used correctly | 3 | 3 if accurate specialized language, 1 if basic, 0 if errors |
| Author page with detailed professional background | 4 | 4 if dedicated author page, 2 if brief bio, 0 if none |
What to flag as weak Expertise:
- Claims without supporting evidence or sources
- Surface-level coverage of complex topics
- Misuse of technical terminology
- No visible author or author without relevant credentials
- Content that is broad and generic rather than deep and specific
Authoritativeness — 25 points
Recognition by others as a credible source on the topic.
Signals to evaluate:
| Signal | Points | How to Score |
|---|---|---|
| Inbound citations from authoritative sources | 5 | 5 if cited by major sources, 3 if some citations, 0 if none |
| Author quoted or cited in press/media | 4 | 4 if media mentions, 2 if industry mentions, 0 if none |
| Industry awards or recognition mentioned | 3 | 3 if relevant awards, 1 if tangential, 0 if none |
| Speaker credentials (conferences, events) | 3 | 3 if listed, 0 if none |
| Published in peer-reviewed or respected outlets | 4 | 4 if tier-1 publications, 2 if industry outlets, 0 if none |
| Comprehensive topic coverage (topical authority) | 3 | 3 if site covers topic thoroughly, 1 if some coverage, 0 if isolated |
…
FAQ
What is E-E-A-T?
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. It's a set of criteria used to evaluate the quality and credibility of online content.
Why does AI care about E-E-A-T?
Artificial intelligences that create summaries or answer questions need to use reliable information. E-E-A-T helps AI decide which sources are most trustworthy and deserve to be cited.
What does 'AI citability' mean?
It means whether the content is well-structured and clear enough for an artificial intelligence to extract specific information and cite it correctly as a source.
Details
Original description by the author
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
Popularity
- GitHub stars
- 48k
- Ranking position
- #3103
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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