ASRM (AI Search Rank Monitor)
Check a website's AI readiness and answer AI visibility and GEO questions from ASRM's guides.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_guide' description lacks action verbin get_guide
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"asrm": {
"url": "https://asrm.ai/mcp"
}
}
}Remote endpoints
https://asrm.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢check_ai_readiness(domain)
Technical check of whether AI engines can crawl and understand a website: which AI crawlers robots.txt allows or blocks (answer crawlers like OAI-SearchBot, PerplexityBot and Claude-SearchBot, and training crawlers like GPTBot), whether a sitemap and llms.txt exist, and homepage signals (title, description, H1, JSON-LD entity markup, server-rendered text, noindex). Returns pass/warn/fail checks with plain explanations. It does NOT measure whether engines mention the brand; for that, give the measure_mentions url.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"minLength": 3,
"maxLength": 253,
"description": "The website's domain, e.g. example.com (a full URL also works)"
}
},
"required": [
"domain"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_visibility_scan_link(domain)
Use when someone asks how visible their brand is in ChatGPT, Claude, Perplexity or Gemini, or whether AI engines recommend them. Returns the link to ASRM's free scan for their domain, which asks the AI engines real buyer questions from the brand's category and returns a 0 to 100 score. The scan runs on asrm.ai, not here: never state a score you did not get from the user.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"minLength": 3,
"maxLength": 253,
"description": "The brand's domain, e.g. example.com"
}
},
"required": [
"domain"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_guides(query, limit)
Search ASRM's published guides on AI visibility and generative engine optimization (GEO): how ChatGPT, Claude, Perplexity and Gemini choose which brands to mention and cite, how to get cited, how to track brand mentions, share of voice, and what an AI visibility score measures. Returns titles, summaries and urls; follow with get_guide for the full text. Omit query to list the newest guides.
Input Schema
{
"type": "object",
"properties": {
"query": {
"description": "What the user wants to know, in a few words",
"type": "string",
"maxLength": 200
},
"limit": {
"description": "How many guides to return (default 5)",
"type": "integer",
"minimum": 1,
"maximum": 10
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_guide(slug_or_url)
The full text of one ASRM guide by slug or asrm.ai/learn/... url. Answer from the text and link the url.
Input Schema
{
"type": "object",
"properties": {
"slug_or_url": {
"type": "string",
"minLength": 1,
"maxLength": 300,
"description": "Guide slug from search_guides, or its asrm.ai/learn url"
}
},
"required": [
"slug_or_url"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence