The Context Layer for GTM
Make every account, contact, and signal AI readable
Marketplace
Explore the Marketplace
Pre-built audiences, data sets, and AI agents ready to deploy.
Browse allAudience
Account Executives and Account Managers at Enterprise Companies
Individual contributor AEs and AMs at companies with 1,000+ employees — the practitioners managing complex, multi-stakeholder enterprise deals and key accounts.
Audience
AI + Cloud Intent Combo
101,000+ companies showing simultaneous high-intensity research signals for both AI/ML tools and cloud infrastructure — the highest-conviction signal for modern infrastructure vendors.
Audience
AI Researchers and Applied Scientists
Research Scientists, Applied Scientists, and AI Researchers at companies building AI products and capabilities — the technical thought leaders driving AI innovation.
Audience
Angel and Seed Funded Startups
4,400+ companies that have received Angel or Seed funding within the past two years — early-stage startups at the beginning of their vendor and tooling journey.
Audience
APAC Enterprise Companies
22,800+ enterprise companies across Asia-Pacific with 1,000+ employees, verified executive contacts, and regional office data
Audience
Atlassian + Slack Stack
11,800+ companies running both Atlassian and Slack — engineering-led organizations with a modern developer workflow built on the two most widely adopted engineering and communication tools.
Audience
AWS + Snowflake Stack
16,000+ companies running both AWS and Snowflake — cloud-native data organizations that have standardized on Amazon's infrastructure with Snowflake as their analytics layer.
Audience
Azure + Snowflake Stack
10,800+ companies running both Microsoft Azure and Snowflake — enterprises that have chosen Azure as their cloud backbone while using Snowflake for analytics and data sharing.
Audience
B2B SaaS Companies Globally
330k+ B2B SaaS companies worldwide with employee count, revenue estimates, funding data, tech stack, and decision-maker contacts
Guides
Read the Guides
Step-by-step how-to content for connecting, building, and deploying GTM AI workflows.
Browse allHow 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.
Read guideGreat GTM AI Starts With the Right Data Foundation
The teams pulling ahead share a common foundation: verified data, unified identity, and a connected context graph. This is the complete playbook for building yours.
Explore the FrameworkDocumentation
Explore the Docs
Deep technical reference for the GTM AI platform: data foundations, the context graph, MCP, and APIs.
Full documentationMCP
Getting Started
What you need before connecting ZoomInfo to your AI tool.
Clients
MCP Clients
Setup guides for connecting ZoomInfo MCP to Claude, ChatGPT, and custom-built AI tools.
Tools
MCP Tools
All twelve ZoomInfo MCP tools: what they do, when they're used, and what credits they consume.
Security
Security & Data
How authentication, entitlement enforcement, and data handling work in the ZoomInfo MCP server.
Credits
Credits & Billing
How MCP consumes bulk data credits and AI action credits, and how admins set limits.
Usage
Billing & Credits
Understand how GTM AI usage is metered and how credits work.