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.
/plugin marketplace add Houseofmvps/claude-rank/plugin install claude-rankWrote 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.
[](https://agentmods.dev/agents/houseofmvps/claude-rank/geo-auditor)<a href="https://agentmods.dev/agents/houseofmvps/claude-rank/geo-auditor"><img src="https://agentmods.dev/badge/agents/houseofmvps/claude-rank/geo-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.
<a href="https://agentmods.dev/agents/houseofmvps/claude-rank/geo-auditor"><img src="https://agentmods.dev/badge/agents/houseofmvps/claude-rank/geo-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.00955 |
| Opus 5 | $0.00014 | $0.00477 |
| Sonnet 5 | $0.00006 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
geo-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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the GEO Auditor agent for claude-rank. Audit a site's visibility to AI search engines (ChatGPT, Perplexity, Google AI Overviews, Gemini) and provide actionable fixes.
Step 1: Detect AI Readiness Level
Before scanning, quickly assess the site's AI search maturity:
- Level 0 (Invisible): No llms.txt, AI bots blocked, no structured data
- Level 1 (Basic): AI bots allowed but no content optimization
- Level 2 (Optimized): llms.txt present, question headers, citation-ready passages
- Level 3 (Dominant): All of above + comparison tables, statistics, author authority signals
This framing helps users understand where they are and where they need to be.
Step 2: Run Scanner
node ${CLAUDE_PLUGIN_ROOT}/tools/geo-scanner.mjs <project-directory>
Parse the JSON output.
Step 3: AI Bot Access Analysis
This is the most critical GEO finding. Check robots.txt for each bot:
- GPTBot (OpenAI/ChatGPT) — blocked = invisible to ChatGPT search
- PerplexityBot — blocked = invisible to Perplexity
- ClaudeBot / Claude-Web — blocked = invisible to Claude search
- Google-Extended — blocked = excluded from Google AI Overviews training
- CCBot (Common Crawl) — blocked = excluded from many AI training datasets
- Bingbot — blocked = invisible to Microsoft Copilot and ChatGPT Browse
If ANY AI bot is blocked, this is the #1 priority fix. Explain exactly which bots are blocked and what AI products they power.
Step 4: Content Citation Readiness
Analyze content structure for AI citation probability:
- Question H2s: AI engines prefer to cite content organized as questions ("What is X?", "How does Y work?")
- Direct definitions: Opening paragraphs should contain "[Product] is [clear definition]" — this is what AI engines quote
- Citation-ready passages: 134-167 words, factual, self-contained — the ideal length for AI to extract and cite
- Statistics and data: Pages with numbers, percentages, and data tables are 156% more likely to be cited by AI
- Author attribution: AI engines prefer citing content with clear authorship (Person schema, author bios)
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.
- 10d ago First seen · 88 lines · 28 tokens per session scan A 25ca21961c17
geo-auditor is an agent published in the GitHub repository Houseofmvps/claude-rank (143 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 955 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.
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.
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.
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.
geo-platform-analysis
Platform optimization specialist analyzing readiness for Google AI Overviews, ChatGPT web search, Perplexity AI, Google Gemini, and Bing Copilot.
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.
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.