GoAI Moat - Decision-Maker Lookup

npx add-mcp 'https://scrape.mcp.goaimoat.com/mcp'

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.