GoAI Moat - Decision-Maker Lookup
Tìm người cần liên hệ tại một công ty, sau đó lấy email công việc đã xác minh. Tìm kiếm miễn phí (hỗ trợ bởi Hunter, trả về người ra quyết định, cờ điện thoại và LinkedIn); bạn chỉ trả phí để tiết lộ các liên hệ bạn chọn. Điểm cuối được lưu trữ, miễn phí 3 cuộc gọi mỗi email.
Máy chủ MCP được lưu trữ
npx add-mcp 'https://scrape.mcp.goaimoat.com/mcp'Cài vào Claude Code, Codex, Cursor và nhiều công cụ khác
Tài liệu
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.