Practical guides for building GTM AI
In-depth technical guides for connecting tools, building audiences, and deploying AI-powered workflows.
How to Connect ZoomInfo to Codex Using MCP
Set up the ZoomInfo MCP server inside OpenAI Codex by adding a Custom MCP entry pointing at https://mcp.zoominfo.com/mcp.
Read guideHow to Connect ZoomInfo to Claude Code Using MCP
Set up the ZoomInfo MCP server inside Claude Code using a developer app, the claude mcp add command, and an OAuth handshake on localhost.
Read guideThe GTM Laws of Physics
A hierarchy that determines why some AI-powered GTM teams produce extraordinary results while others generate expensive noise. Context > Timing > Targeting > Content.
Read guideHow to Build Audiences and Lists Inside Claude with ZoomInfo MCP
The complete guide to audience and list building using ZoomInfo's MCP integration inside Claude. Covers basic searches, intent signals, and multi-step research workflows.
Read guideHow to Connect ZoomInfo to Claude Using MCP
Step-by-step setup guide for connecting ZoomInfo's MCP integration to Claude. Covers authentication, verification, and troubleshooting.
Read guideModel Choice for GTM AI: What Actually Matters
A research-backed guide to AI model selection for go-to-market teams. Covers the latest frontier models, benchmark data, the commoditization thesis, and a practical framework for choosing the right model for each GTM workflow.
Read guideTokens and Context: The GTM AI Mental Model
How to think about token usage, context windows, and context quality for go-to-market AI. Includes research-backed guidance on context rot, cost economics, and how to architect AI workflows that actually work in production.
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