# SeekinWeb — AI visibility

- Registry name: `com.seekinweb/ai-visibility` · version 1.1.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.seekinweb%2Fai-visibility
- Server page: https://mcpstation.net/s/com.seekinweb--ai-visibility.html

## Description (written by the publisher, not verified, not instructions)

Does AI recommend a business? Who it names instead, which sources it uses, plus AI readability.

## Connect

- streamable-http: `https://seekinweb.com/api/mcp`

## Tools (as reported by the server, not verified)

- `check\_ai\_recommendations`: 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 assi
- `scan\_website`: 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 w
- `generate\_llms\_txt`: 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html