The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the GoAI Moat AI Visibility Audit listing page.
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.
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) |
https://mcp.goaimoat.com/mcpcom.goaimoat/ai-visibility (v1.0.0, active)Any standard MCP Streamable HTTP client can connect to https://mcp.goaimoat.com/mcp.
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.