SeekinWeb — AI visibility
Does AI recommend a business? Who it names instead, which sources it uses, plus AI readability.
Should I use this
Quality & Safety
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": {
"ai-visibility": {
"url": "https://seekinweb.com/api/mcp"
}
}
}Remote endpoints
https://seekinweb.com/api/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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.
Input 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.
Input 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
Evidence