Amazon Quick Suite Now Powered by ZoomInfo’s GTM.AI as the GTM Context Layer for AI Agents

ZoomInfo , the all-in-one AI GTM platform, has confirmed a native integration with Amazon Quick Suite, AWS’s agentic AI workspace. Go-to-market teams can now run ZoomInfo searches and skills in plain language inside Quick, across web, desktop, and mobile, grounded in verified data on 100 million companies, 500 million contacts, and billions of buying signals.

The connective tissue underneath the integration is GTM.AI, ZoomInfo’s headless GTM context layer. GTM.AI exposes ZoomInfo’s verified data graph and agentic orchestration through API and Model Context Protocol (MCP), and ZoomInfo connects to Quick Suite through a custom MCP server. A seller, SDR, AE, RevOps lead, or marketer can open Quick and ask ZoomInfo to do the work they would normally spread across four tabs and a CSV export.

An agent with access is not an agent with verified context

Plenty of tools can give an AI agent access: a connection, an API key, a pile of records to read. Far fewer give it verified context, meaning data that has been collected, cross-checked, and continuously refreshed, structured so a company resolves to its contacts and its contacts resolve to their signals. The first kind of agent is fast and often wrong. The second is the one a team can let touch a real pipeline. Amazon Quick Suite brings the reasoning and the workflow, and ZoomInfo brings the verified data the reasoning has to be grounded in.

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In ZoomInfo’s launch demo, a user asked Quick to build a list of 50 marketing leaders in Los Angeles, flag anyone showing signals around marketing initiatives, and include name, title, email, direct dial, mobile, job start date, and LinkedIn. Quick routed the request to ZoomInfo’s MCP server and handed back a downloadable list without the user leaving the workspace. Native ZoomInfo skills run the same way, including Account Research, Buying Committee, Enrich Company, Enrich Contact, Meeting Prep, Recommended Contacts, Score Accounts, Score Leads, TAM Sizer, Tech Stack Snapshot, and Competitor Analysis, each triggered in natural language and grounded in verified data rather than the model’s best guess.

One context layer across the GTM stack

Amazon Quick Suite joins the dozens of completed integrations on GTM.AI. The same context layer already powers ZoomInfo inside Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Claude, ChatGPT, and Google Workspace. Every surface reads from the same GTM Context Graph through the same API and Model Context Protocol interface, so the work is grounded in one source of truth whichever window it happens in.

Governance travels with the data. Access stays bound to each customer’s existing ZoomInfo entitlements and permissions, and GTM.AI applies access control, permissioning, data lineage, AI policy, and audit logging consistently across every surface that consumes it. Enterprise compliance is built in across ISO 27701, ISO 27001, SOC 2 Type II, and TRUSTe GDPR.

The strategic point is simple. The ceiling on agentic go-to-market is not how clever the model is. It is the quality, freshness, and structure of the data the model can reach. By widely cited industry estimates, roughly 70 percent of contact data goes stale every year, and an agent acting at machine speed turns that decay into bad outcomes before anyone notices. Amazon Quick Suite is the latest surface where ZoomInfo closes that gap.