SeekinWeb — AI visibility
Does AI recommend a business? Who it names instead, which sources it uses, plus AI readability.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"ai-visibility": {
"url": "https://seekinweb.com/api/mcp"
}
}
}Remote-Endpunkte
https://seekinweb.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (3)
🟢check_ai_recommendations(url, lang)
Checks whether an AI assistant with live web search recommends a business when a customer asks for what it offers, without naming it. Returns how many answers named the business, which brands were named instead, which websites the assistant relied on (the sources to be present on), and what the assistant says about the business. Runs in the background on first use (about a minute): if it reports that the test is running, call it again shortly. Free, no account.
Eingabe-Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Domain or URL of the site, e.g. \"example.com\" or \"https://example.com\". Use your own site or one you are authorized to review."
},
"lang": {
"type": "string",
"enum": [
"en",
"es"
],
"description": "Output language: \"en\" (default) or \"es\"."
}
},
"required": [
"url"
]
}🟢scan_website(url, lang)
Scans a website and returns its AI Visibility Score (0-100): whether AI crawlers and agents can find, read and cite it. Eight weighted signals (content readable without JavaScript, AI crawler access in robots.txt, structured data, semantic structure, metadata, performance, llms.txt, sitemap), each with a concrete fix when it fails. Free, no account.
Eingabe-Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Domain or URL of the site, e.g. \"example.com\" or \"https://example.com\". Use your own site or one you are authorized to review."
},
"lang": {
"type": "string",
"enum": [
"en",
"es"
],
"description": "Output language: \"en\" (default) or \"es\"."
}
},
"required": [
"url"
]
}🟢generate_llms_txt(url, lang)
Drafts an llms.txt file (llmstxt.org convention) for the root of a domain: a structured summary of the site for language models and agents, derived from the page's real content. Returns the file text. Note: llms.txt is an emerging convention with unproven impact.
Eingabe-Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Domain or URL of the site, e.g. \"example.com\" or \"https://example.com\". Use your own site or one you are authorized to review."
},
"lang": {
"type": "string",
"enum": [
"en",
"es"
],
"description": "Output language: \"en\" (default) or \"es\"."
}
},
"required": [
"url"
]
}Community
Nachweis