# Geo Citability

AI citability scoring and optimization.

- Repository: https://github.com/zubair-trabzada/geo-seo-claude (11403 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add zubair-trabzada/geo-seo-claude --skill geo-citability -g -a claude-code -y`
Codex: `npx skills add zubair-trabzada/geo-seo-claude --skill geo-citability -g -a codex -y`
Cursor: `npx skills add zubair-trabzada/geo-seo-claude --skill geo-citability -g -a cursor -y`
Gemini CLI: `npx skills add zubair-trabzada/geo-seo-claude --skill geo-citability -g -a gemini-cli -y`

## Description

AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# AI Citability Scoring Skill

## Core Insight

AI language models cite passages that meet specific structural criteria. Research from Princeton, Georgia Tech, and IIT Delhi (2024) found that GEO-optimized content achieves 30-115% higher visibility in AI-generated responses. The key finding: AI systems preferentially extract and cite passages that are **134-167 words long**, **self-contained** (understandable without surrounding context), **fact-rich** (containing specific statistics, dates, or named entities), and **directly answer a question** in the first 1-2 sentences.

This is fundamentally different from traditional SEO copywriting, which optimizes for keyword density and user engagement metrics. GEO citability optimizes for **extractability** -- the ease with which an AI system can pull a passage from your content and present it as a direct answer.

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## Citability Scoring Rubric (0-100)

### Category 1: Answer Block Quality (30% of total score)

This measures whether content contains clear, quotable answer passages that AI systems can extract verbatim.

**Scoring Criteria:**

| Score | Criteria |
|---|---|
| **90-100** | Every major section opens with a 1-2 sentence direct answer. Uses "X is..." or "X refers to..." patterns. First 40-60 words of each section can stand alone as a complete answer. |
| **70-89** | Most sections have clear answer openings. Some definition patterns present. Answers are identifiable but may need minor context. |
| **50-69** | Some sections have answer-like openings but many bury the answer in the middle or end of paragraphs. Few explicit definition patterns. |
| **30-49** | Answers are generally buried in long paragraphs. No consistent definition patterns. Content is narrative-driven rather than answer-driven. |
| **0-29** | No identifiable answer blocks. Content is entirely narrative, conversational, or fragmented. AI would struggle to extract any quotable passage. |

**What to look for:**

The rest: https://github.com/zubair-trabzada/geo-seo-claude/blob/HEAD/skills/geo-citability/SKILL.md