GoAI Moat - Decision-Maker Lookup
Find the person to contact at a company, then get a verified work email. Searching is free (Hunter-backed, returns decision-maker, phone and LinkedIn flags); you only pay to reveal the contacts you pick. Hosted endpoint, free 3 calls per email.
Hosted MCP Server
npx add-mcp 'https://scrape.mcp.goaimoat.com/mcp'Installs into Claude Code, Codex, Cursor and more
Documentation
GoAI Moat — MCP Servers
13 Model Context Protocol (MCP) servers that give AI agents the ability to audit "AI visibility", detect competitor AI adoption, and serve cross-border e-commerce teams. All listed under com.goaimoat/* on the official MCP Registry.
Being good is no longer enough — you have to be sayable by AI. These tools make that measurable.
Why
Buyers stopped searching — they ask AI. Being "cited by AI" is replacing "ranking #1":
- 65–68% of Google searches end without a click;
- brands cited by AI earn ~35% more organic clicks and ~91% more paid clicks;
- AI-referred visitors convert at 14.2% vs 2.8% for organic (≈5×).
The 13 servers
| Server | Registry ID | What it does |
|---|---|---|
| AI Visibility Audit | com.goaimoat/ai-visibility | Score a brand's AI visibility 0-30 + 30-point checklist + fix priority |
| Competitor AI Signals | com.goaimoat/competitor-signals | 7 public signals + TSI score to detect a company's quiet AI adoption |
| Market Intel Brief | com.goaimoat/market-intel-brief | Search a weekly verified cross-border × AI intelligence library |
| Decision-Maker Lookup | com.goaimoat/decision-maker-lookup | Find B2B decision makers and verify work emails |
| AI Content Studio | com.goaimoat/content-studio | Bilingual (EN/ZH) cross-border content generation |
| Brand Intel Memory | com.goaimoat/brand-intel-memory | Persistent business-intelligence memory for agents |
| Cross-border Profit | com.goaimoat/cross-border-profit | Calculate cross-border e-commerce cost & profit |
| Export Compliance | com.goaimoat/export-compliance | Export compliance checks (HS codes, restrictions) |
| IP Brand Protection | com.goaimoat/ip-brand-protection | Brand/IP protection guidance |
| Pricing Strategy | com.goaimoat/pricing-strategy | Pricing strategy for cross-border sellers |
| Product Selection | com.goaimoat/product-selection | Cross-border product selection research |
| Review Intelligence | com.goaimoat/review-intelligence | Customer review intelligence |
| Social Media Strategy | com.goaimoat/social-media-strategy | Social media strategy for brands |
Architecture
Each server is a ~80-line FastMCP app over streamable HTTP:
from fastmcp import FastMCP
mcp = FastMCP(name="GoAI Moat — ...")
@mcp.tool()
def score_brand(brand: str, category: str) -> dict:
"""Score a brand's AI visibility 0-30 across 5 categories."""
...
mcp.run(transport="streamable-http", host="127.0.0.1", port=8000)
Open Core
The server code here is open source (MIT). The hosted endpoints and premium data are paid:
- Hosted: point any MCP client at
https://mcp.goaimoat.com/mcp(free tier = 1 audit/email). - Premium: unlimited audits + data reveal (decision-maker emails) via license — see goaimoat.com/mcp-catalog.html.
License
MIT — build on it, but the hosted service and proprietary data remain GoAI Moat's.