ASRM (AI Search Rank Monitor)

Check a website's AI readiness and answer AI visibility and GEO questions from ASRM's guides.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
97%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'get_guide' description lacks action verbin get_guide

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~746Tokens (Tool-Definitionen)
~746 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.58% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "asrm": {
      "url": "https://asrm.ai/mcp"
    }
  }
}

Remote-Endpunkte

https://asrm.ai/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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#"
}

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