ZoomInfo has been recognized by Snowflake as a Data & Identity "One to Watch" in The Modern Marketing Data Stack: Governing the Agentic Enterprise report. The announcement was made at Cannes Lions 2026. This recognition highlights ZoomInfo's role in enabling revenue teams to access data and agents directly within the Snowflake AI Data Cloud.

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a shift in marketing operations from fragmented tools to AI-driven, agentic systems. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories. It emphasizes how organizations are enabling AI to move beyond assistance to decisioning and action across the marketing lifecycle.

ZoomInfo's data, audiences, skills, and agents are accessible from inside the Snowflake AI Data Cloud without the need for exports or duplicate copies. Revenue teams can build account lists, intent plays, and ABM programs using ZoomInfo data within the governance, lineage, and access controls established in Snowflake. For GTM engineers, GTM.AI exposes data and agents via MCP and APIs, allowing agents running in platforms like Claude or ChatGPT to call ZoomInfo.

Dennis Sevilla, Chief Marketing Officer of ZoomInfo, stated that revenue teams are rebuilding their stack around AI agents and need a data layer those agents can access. He noted that GTM.AI is powered by the GTM context layer for ZoomInfo, governed on Snowflake for customers who operate there.

Denise Persson, Chief Marketing Officer of Snowflake, remarked that ZoomInfo is among a small number of partners building for the agentic enterprise from the data layer up. She cited ZoomInfo's MCP availability and the GTM.ai marketplace as factors that make its data directly callable by agents, providing the governance customers expect when running against the Snowflake AI Data Cloud.

Key Insights from the Report

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.