geo-citability

Solid

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.

AI & Automation 13 stars 2 forks Updated 5 days ago MIT

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Quality Score: 83/100

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Description 5%
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Skill Content

# AI Citability Scoring Skill ## Core Insight AI language models cite passages that meet specific structural criteria. Research on Generative Engine Optimization (Aggarwal et al., KDD 2024) found GEO tactics can lift visibility in AI answers by roughly **30–115%** depending on the tactic and query set (see [`docs/SOURCES.md`](../../docs/SOURCES.md) for provenance on this and the length figure). The pattern: AI systems preferentially extract passages that are **~134–167 words long**, **self-contained** (understandable without surrounding context), **fact-rich** (specific statistics, dates, named entities), and **directly answer a question** in the first 1-2 sentences. > **This score is a proxy, not a measurement.** It scores how *extractable* your passages are against these research-derived criteria — it does not ask an AI engine whether it actually quoted you. Any "expected lift" is a research-informed estimate, never a promise. For the live check of whether the engines name you, run the free scan at **[areyoufoundbyai.com](https://areyoufoundbyai.com)**. 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. --- ## Citability Scoring Rubric (0-100) ### Category 1: Answer Block Quality (30% of total score) This measures whether content cont...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
1 months ago
Last Updated
5 days ago
Language
Python
License
MIT

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