geo-citability

geo-citability is a skill for Claude Code, Codex from bytefer/geo-seo-codex. It costs 61 tokens per session (3,514 once invoked), scanned A, a copy of geo-citability, MIT.

A review that estimates how likely AI systems such as ChatGPT, Claude, Perplexity, and Gemini are to quote or cite parts of a web page.

In plain words
What is it for?
Use it to score page content and get specific suggestions for rewriting passages to make them easier for AI systems to cite.
Why use it?
It shows whether important answers are clear and self-contained enough for an AI system to extract them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to score page content and get specific suggestions for rewriting passages to make them easier for AI systems to cite.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytefer/geo-seo-codex/geo-citability
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bytefer/geo-seo-codex --skill geo-citability
Clone the repo
git clone --depth 1 https://github.com/bytefer/geo-seo-codex

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for geo-citability

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytefer/geo-seo-codex/geo-citability.svg)](https://agentmods.dev/skills/bytefer/geo-seo-codex/geo-citability)
Your own site
<a href="https://agentmods.dev/skills/bytefer/geo-seo-codex/geo-citability"><img src="https://agentmods.dev/badge/skills/bytefer/geo-seo-codex/geo-citability.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,514 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.03514
Opus 5 $0.00030 $0.01757
Sonnet 5 $0.00012 $0.00703
Haiku 4.5 $0.00006 $0.00351

Measured 8d ago against content hash ddfe1eb3b586, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

geo-citability scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

97% identical to geo-citability — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/geo-citability/SKILL.md · 313 lines

How it starts

The opening of the file, as written. The whole thing — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.


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:

  • Definition patterns: "X is [definition]." / "X refers to [explanation]." / "X means [meaning]."
  • Answer-first structure: The answer appears in the first sentence, followed by supporting detail.
  • Quantified answers: "The average cost of X is $Y" rather than "Many factors affect the cost of X."
  • Comparison answers: "X differs from Y in three ways: [list]" rather than "X and Y are often confused."

Read the full file on GitHub · 313 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 313 lines · 61 tokens per session scan A ddfe1eb3b586

Subscribe to this mod's changes

geo-citability is a skill published in the GitHub repository bytefer/geo-seo-codex (11 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 3,514 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to geo-citability, differing in 9 lines, and is treated as a copy.

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