visibility

See whether ChatGPT, Claude and Gemini recommend a startup's product, and who they name instead.

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
42%
Qualität der Benennung
90%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

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

Kontextkosten

~797Tokens (Tool-Definitionen)
~253 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.62% 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": {
    "visibility": {
      "url": "https://frontstat.com/api/mcp"
    }
  }
}

Remote-Endpunkte

https://frontstat.com/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

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🟢check_public_launch(domain)

Look up a product launch that FrontStat already tracks: its name, its rank on this week's or this month's launch board, its visibility score (0 to 100), and whether ChatGPT, Claude and Gemini recommend it for its buyer question, with the products they name instead. Returns a link to its public FrontStat page. If FrontStat does not track the domain yet, says so and links to the free report. No token needed.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "The product's domain or URL, for example example.com.",
      "maxLength": 300
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false
}
🟢get_visibility

Your latest FrontStat Pro report: date, visibility score, whether each AI search engine recommends your product for your main buyer question and who it names instead, and for your buyer questions how many answers recommend you (X of Y) per assistant. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your subscription.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢list_buyer_questions

Each buyer question FrontStat asks the AI search engines about your market, with yes or no per engine: does the answer recommend your product. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your subscription.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢who_wins_instead

The products the AI search engines name instead of yours, and the sites they cite, each with how many answers it appears in, from your latest Pro report. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your subscription.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢cited_sites

The sites the AI search engines cite most when they answer your buyer questions, with how many answers cite each one, your own domain left out. These are the pages to get mentioned on. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your subscription.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢visibility_history

One point per day for the last 30 days: your visibility score and how many answers recommend your product. Use it to see whether your changes moved AI search engines. Needs FrontStat Pro: send your dashboard token as a Bearer token. Covers the domain on your subscription.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

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