ZoomInfo has integrated its GTM.AI context layer with Amazon Quick Suite, AWS's agentic AI workspace, enabling go-to-market teams to access verified B2B intelligence directly within the platform. Users can now run ZoomInfo searches and execute native skills using plain language across web, desktop, and mobile interfaces. The integration is grounded in verified data covering 100 million companies, 500 million contacts, and billions of buying signals.

The underlying technology for this integration is GTM.AI, ZoomInfo's headless go-to-market context layer. GTM.AI exposes ZoomInfo's verified data graph and agentic orchestration capabilities through an API and the Model Context Protocol (MCP). ZoomInfo connects to the Quick Suite via a custom MCP server, allowing professionals such as sellers, SDRs, AEs, RevOps leads, and marketers to request tasks that would typically require multiple tabs and CSV exports.

Verified Context for AI Agents

While many tools provide AI agents with access to data via APIs or records, fewer offer verified context—data that is collected, cross-checked, and continuously refreshed. ZoomInfo provides this structured data, ensuring that companies resolve to their contacts and contacts resolve to their signals. Amazon Quick Suite supplies the reasoning and workflow, while ZoomInfo supplies the verified data necessary to ground that reasoning.

In a demonstration, a user asked Amazon Quick Suite to build a list of 50 marketing leaders in Los Angeles, flag those showing signals around marketing initiatives, and include specific details such as name, title, email, and direct dial. Quick routed the request to ZoomInfo's MCP server and returned a downloadable list without the user leaving the workspace.

Native ZoomInfo Skills

The integration supports a variety of native ZoomInfo skills triggered by natural language. These include:

Unified Context Across the GTM Stack

Amazon Quick Suite joins dozens of other integrations on GTM.AI, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Claude, ChatGPT, and Google Workspace. Every integration reads from the same GTM Context Graph through the same API and MCP interface, ensuring work is grounded in a single source of truth regardless of the platform used.

Governance and security travel with the data. Access remains bound to each customer's existing ZoomInfo entitlements and permissions. GTM.AI applies access control, permissioning, data lineage, AI policy, and audit logging consistently across all surfaces. The system adheres to enterprise compliance standards, including ISO 27701, ISO 27001, SOC 2 Type II, and TRUSTe GDPR.

The integration addresses the challenge of data decay in agentic go-to-market strategies. Industry estimates suggest that roughly 70 percent of contact data goes stale every year. By providing high-quality, fresh, and structured data, ZoomInfo aims to prevent AI agents from generating bad outcomes at machine speed.