citability-auditor

citability-auditor is an agent for Claude Code from Houseofmvps/claude-rank. It costs 29 tokens per session (952 once invoked), scanned A, original, MIT.

A website audit tool that estimates how likely content is to be cited by AI search systems such as ChatGPT, Perplexity, Gemini, and Google AI Overviews.

In plain words
What is it for?
Use it to review citation potential across pages and receive recommendations for improving factual density, answer structure, and other audit dimensions.
Why use it?
It identifies missing facts, sources, structure, freshness, or authority signals that can make pages harder for AI systems to quote.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the claude-rank plugin — 6 skills, 12 commands, 9 agents, 1 hook shipped together

Good fit Use it to review citation potential across pages and receive recommendations for improving factual density, answer structure, and other audit dimensions.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Houseofmvps/claude-rank
Claude Code
/plugin install claude-rank

Made for: Claude Code.

Or install claude-rank, the plugin that ships this one along with the rest of its 6 skills, 12 commands, 9 agents, 1 hook.

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 citability-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/houseofmvps/claude-rank/citability-auditor/github.svg)](https://agentmods.dev/agents/houseofmvps/claude-rank/citability-auditor)
Your own site
<a href="https://agentmods.dev/agents/houseofmvps/claude-rank/citability-auditor"><img src="https://agentmods.dev/badge/agents/houseofmvps/claude-rank/citability-auditor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for citability-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/houseofmvps/claude-rank/citability-auditor"><img src="https://agentmods.dev/badge/agents/houseofmvps/claude-rank/citability-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 952 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 original No closer match found 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 $0.00029 $0.00952
Opus 5 $0.00015 $0.00476
Sonnet 5 $0.00006 $0.00190
Haiku 4.5 $0.00003 $0.00095

Measured 9d ago against content hash 0b13286dedcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

citability-auditor 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 9d 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.

agents/citability-auditor.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Citability Auditor agent for claude-rank. Analyze a site's likelihood of being cited by AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) and provide specific recommendations per dimension.

Step 1: Detect Content Profile

Before scanning, assess the site's citation potential:

  • Authority signals: Does the site have author bios, credentials, citations to sources?
  • Data density: Does the content include statistics, percentages, research findings?
  • Structure quality: Are answers front-loaded? Are passages self-contained and quotable?
  • Freshness: Is content dated and regularly updated?

Step 2: Run Scanner

node ${CLAUDE_PLUGIN_ROOT}/tools/citability-scorer.mjs <project-directory>

Parse the JSON output for the 7-dimension breakdown and per-page scores.

Step 3: Analyze Each Dimension

Interpret results across all 7 citability dimensions:

  1. Factual Density — Does the content contain verifiable facts, numbers, and data?

    • Fix: Add a statistic or data point every 200 words. Use specific numbers over vague claims.
    • Example: Change "many users prefer X" to "73% of users prefer X (Source, 2025)."
  2. Answer Frontloading — Are key answers in the first 1-2 sentences of each section?

    • Fix: Start each section with a direct answer before elaborating. AI engines extract the first sentence.
    • Example: "What is X? X is [definition]." not "In order to understand X, we must first consider..."
  3. Source Authority — Does content cite authoritative, verifiable sources?

    • Fix: Link to primary sources (research papers, official docs, gov data). Name the source inline.
    • Example: "According to Google's Search Central documentation..." not "According to experts..."
  4. Passage Completeness — Are passages self-contained and quotable (134-167 words)?

    • Fix: Write paragraphs that make sense without surrounding context. Each passage = one complete idea.
  5. Structural Clarity — Are headings questions? Are definitions formatted as "X is Y"?

    • Fix: Rewrite H2s as questions users actually ask. Use "What is", "How does", "Why should" format.

Read the full file on GitHub · 94 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. 9d ago First seen · 94 lines · 29 tokens per session scan A 0b13286dedcd

Subscribe to this mod's changes

citability-auditor is an agent published in the GitHub repository Houseofmvps/claude-rank (143 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 952 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

geo-content

Content quality specialist evaluating E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), content depth, readability, AI content detection, and topical authority.

asale-ai/seo-geo-skill · 37 tokens

geo-schema

Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.

asale-ai/seo-geo-skill · 44 tokens

geo-technical

Technical SEO specialist analyzing crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals (INP replaces FID), server-side rendering, and JavaScript dependency.

asale-ai/seo-geo-skill · 42 tokens

geo-platform-analysis

Platform optimization specialist analyzing readiness for Google AI Overviews, ChatGPT web search, Perplexity AI, Google Gemini, and Bing Copilot.

asale-ai/seo-geo-skill · 33 tokens

geo-ai-visibility

GEO specialist analyzing AI search visibility: citability scoring, AI crawler access, llms.txt compliance, and brand mention presence across AI-cited platforms. Delegates to geo-citability, geo-crawlers, geo-llmstxt, and geo-brand-mentions skills.

asale-ai/seo-geo-skill · 62 tokens

seo-backlinks

Backlink profile analyst using free and paid sources. Fetches data from Moz API, Bing Webmaster Tools, Common Crawl web graphs, and verification crawler. Merges multi-source data with confidence-weighted scoring.

asale-ai/seo-geo-skill · 45 tokens