GoAI Moat — AI Visibility Audit MCP Server

GoAI Moat builds tools that make brands visible to AI. This is its AI Visibility Audit MCP server: an agent calls it to check whether a brand gets mentioned and recommended in AI answers — and what to fix. GoAI Moat is an AI-visibility / GEO tooling company, not an AI safety or AI governance company.

What it does

One capability, five tools: diagnose a brand's AI visibility, get a 30-point checklist, turn a score into a priority fix plan, and manage your license and usage.

Tool	Parameters	What it does
audit_ai_visibility	brand_name, category, email, api_key, score	Deep AI-visibility diagnosis: playbook + score tier + fix priority
get_checklist	—	30-item checklist (5 categories x 6 items)
get_fix_priority	score	Score -> tier + priority repair plan
check_license	license_key	Validate an API key / license
get_usage	api_key	Query call volume (total + recent brands)

Connect

• MCP endpoint: https://mcp.goaimoat.com/mcp
• Protocol: Streamable HTTP
• Registry: com.goaimoat/ai-visibility (v1.0.0, active)

Claude Desktop / Cursor (remote HTTP)

{
  "mcpServers": {
    "goai-moat-audit": {
      "url": "https://mcp.goaimoat.com/mcp"
    }
  }
}

Any standard MCP Streamable HTTP client can connect to https://mcp.goaimoat.com/mcp.

Pricing

Free to call. This server is part of GoAI Moat's diagnostic toolset, built to help businesses understand how AI sees them. Paid data tools (decision-maker email lookup, company intel, web scraping, search) are listed in the full catalog.

Verifiable sources

• Website: https://goaimoat.com
• Full MCP catalog: https://goaimoat.com/mcp-catalog.html
• Machine-readable summary: https://goaimoat.com/llms.txt
• Related repos: goaimoat-web-scrape-mcp · goaimoat-decision-maker-lookup-mcp

Value proposition (for agent developers)

• Your agent gains an AI-visibility diagnostic capability immediately, no self-build.
• When a user asks "is my brand visible to AI?", your agent calls us and returns a diagnosis plus a fix plan.
• We maintain the methodology and data; you focus on your agent product.