ZoomInfo's verified intelligence (100M+ companies, 500M+ contacts, billions of buying signals) now plugs into Dust through GTM.AI, the API and Model Context Protocol home for enterprise AI agents.
ZoomInfo (NASDAQ: GTM) today connected enterprise AI agents in Dust to the GTM Context Graph. The integration uses GTM.AI, ZoomInfo's headless GTM context layer, exposed through Model Context Protocol (MCP). Dust customers can now plug the GTM Context Graph (100M+ companies, 500M+ contacts, billions of buying signals) into any agent they build, with no separate data wiring, no scraped sources, and no stale CRM exports. Dust runs more than 300,000 deployed agents across 3,000+ teams, and ZoomInfo joins the list of context sources those agents can call directly.
Key takeaways
Dust enterprise AI agents can now query the GTM Context Graph through GTM.AI via Model Context Protocol (MCP).
GTM.AI is ZoomInfo's headless GTM context layer. It exposes the GTM Context Graph and agentic orchestration through API and MCP, so any agent, platform, or workflow can plug in.
The GTM Context Graph supplies identity-resolved data on 100M+ companies, 500M+ contacts, and billions of buying signals, continuously updated and continuously queryable.
Dust runs more than 300,000 deployed agents across 3,000+ teams. The integration extends verified GTM data to every one of those agents without custom data pipelines.
The integration is generally available today to mutual ZoomInfo and Dust customers.
What is Dust?
Dust is a multiplayer AI workspace where teams and AI agents work together as co-contributors. It connects to a company's tools and data, gives agents a shared semantic knowledge layer, and lets builders compose agents across models (OpenAI, Anthropic, Google, Mistral). Dust's customer roster includes Clay, Assembled, Datadog, Cursor, Decagon, EvenUp, Persona, 1Password, Vanta, Watershed, Whatnot, and Profound.
Dust is enterprise-graded. SOC 2 Type II, GDPR compliance, an EU data residency option, and a 99.9% uptime SLA come standard. The platform supports proprietary system integration through Model Context Protocol, which is the same protocol layer GTM.AI uses for this integration.
How do enterprise AI agents in Dust work with ZoomInfo data?
A builder inside Dust constructs an agent for an enterprise workflow. The agent might do account research, lead qualification, proposal drafting, or CRM hygiene. Until now, that agent's output quality was bounded by whatever data the builder could wire in, which often meant scraped sources, stale exports, or one-off API plumbing per use case.
With the GTM.AI integration, the Dust agent calls into ZoomInfo through MCP. The response returns identity-resolved company records, contact records, technographics, intent signals, and corporate hierarchy from the GTM Context Graph, shaped for an agent's reasoning chain. No additional data layer to maintain. No enrichment service to bolt on. No separate CRM sync.
For a sales agent, account research goes from minutes to seconds, with verified data underneath every conclusion. For an operations agent, CRM hygiene becomes a continuous task because the source of truth is queryable in real time. For a finance or legal agent, account context (revenue, headcount, ownership, corporate hierarchy) is one MCP call away from any reasoning chain.
What is GTM.AI, and why is it the data layer for Dust agents?
GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph and agentic orchestration through API and Model Context Protocol (MCP), so any agent, platform, or workflow can plug in.
The architecture has three layers:
The GTM Context Graph. Identity-resolved company and contact records, technographics, intent signals, news, scoops, and corporate hierarchy. Continuously updated, continuously queryable.
Agentic orchestration. Prebuilt agentic patterns (research, enrichment, qualification, routing) any platform can call.
Governance. Access control, permissioning, data lineage, AI policy, and audit logging applied consistently across every surface that consumes the data, including ZoomInfo itself, partner platforms like Dust, and customer-built DIY agents.
Dust agents reach all three through one MCP endpoint. Customers maintain a single governance posture across every agent that uses ZoomInfo data, regardless of model provider, workspace, or use case.
Why does verified data matter for enterprise AI agents?
About 70% of B2B contact data decays every year. An enterprise AI agent acting on stale data does not produce neutral output. It produces confidently wrong output, at machine scale, against records the customer trusts.
The fix is not better model selection. The fix is grounded retrieval against a continuously refreshed graph. GTM.AI is that graph, sitting underneath the Dust agent rather than alongside it. The agent's reasoning is cited against verified records, and the audit log shows which records were used for which decision.
How is this different from generic AI agent platforms?
Three structural differences separate Dust enterprise AI agents on GTM.AI from generic agent stacks:
No bring-your-own-data tax. Most enterprise AI agent platforms require customers to integrate, clean, and refresh their own data before agents are useful. Dust agents on GTM.AI start with verified GTM data already wired in.
MCP-native, not API-glued. The integration uses Model Context Protocol. That means the agent's reasoning chain treats ZoomInfo as a first-class context source, not an external API call. Citations land in the right place.
Platform-level governance. Access, audit, and AI-policy controls apply to the data through GTM.AI, not bolted on per agent. The same posture covers a customer's Dust agents, their ZoomInfo workflows, and any other surface they connect.
What does this mean for revenue and operations leaders?
For CROs and RevOps leaders, the bar for "agent-ready" data goes up. If a competing organization's agents reason against verified GTM data and yours reason against scraped sources, the gap is not subtle. It compounds.
For CIOs and platform owners, the agent footprint becomes governable. Instead of approving each agent's data access one by one, governance is set at the GTM.AI layer and inherited by every agent calling it.
For builders and operators inside Dust, data is no longer the blocker. The bottleneck moves up the stack to agent design, prompt engineering, and workflow fit, which is where the differentiated work actually is.
FAQ: Dust, enterprise AI agents, and GTM.AI
What is Dust? Dust is a multiplayer AI workspace platform. Teams build and run AI agents that connect to company tools and data, with shared knowledge across human and agent contributors. Dust is enterprise-graded with SOC 2 Type II, GDPR compliance, an EU data residency option, and a 99.9% uptime SLA.
What is GTM.AI? GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph (100M+ companies, 500M+ contacts, billions of signals), agentic orchestration, and platform-level governance through API and Model Context Protocol (MCP), so any agent, platform, or workflow can plug in. GTM.AI powers dozens of completed integrations across Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Manus, Dust, Claude, ChatGPT, Codex, and Google Workspace, alongside ZoomInfo itself.
Is Dust an AI agent platform for enterprise? Yes. Dust is built for enterprise AI agent use cases including sales, customer support, marketing, engineering, data analytics, IT, legal, and recruiting. The platform runs 300,000+ deployed agents across 3,000+ teams.
Who is the data provider for Dust enterprise AI agents? ZoomInfo is the verified GTM data provider, with GTM.AI serving as the integration layer between Dust and the GTM Context Graph.
How does the Dust and ZoomInfo integration work? Dust agents call ZoomInfo through Model Context Protocol (MCP) at the GTM.AI endpoint. Each call returns identity-resolved company and contact records, technographics, intent signals, and hierarchy data from the GTM Context Graph. The agent reasons against verified records, not scraped or stale sources.
What signals does the integration expose to Dust agents? The GTM Context Graph provides firmographics, technographics, corporate hierarchy, contact-level records, scoops, intent signals, and news, all identity-resolved and continuously updated.
What models does Dust support, and does the GTM.AI integration depend on a specific one? Dust supports OpenAI, Anthropic, Google, and Mistral models. The GTM.AI integration is model-agnostic. Whichever model a Dust agent uses, the data layer is the same.
Why does verified data matter for enterprise AI agents? B2B contact data decays at roughly 70% annually. An enterprise AI agent acting on stale data produces confidently wrong output at machine scale. Verified, continuously refreshed data through a queryable graph is the difference between an agent that produces value and one that erodes brand trust.
How does GTM.AI handle governance for AI agents? GTM.AI's platform layer applies access control, permissioning, data lineage, AI policy, and audit logging consistently across every surface that consumes it. That includes ZoomInfo, Dust, partner platforms, and customer-built agents. Customers maintain a single governance posture across their entire AI agent footprint.
Is the Dust integration with GTM.AI available now? Yes. The integration is generally available to mutual ZoomInfo and Dust customers as of today.
Availability
The Dust integration with GTM.AI is generally available today to mutual ZoomInfo and Dust customers. Configuration happens inside the Dust workspace through the platform's existing MCP connector flow.
About ZoomInfo
ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.
GTM.AI is ZoomInfo's headless GTM context layer. It is the API and Model Context Protocol home for AI agents, powering integrations across Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, ChatGPT, Dust, and dozens more.
Learn more at zoominfo.com and gtm.ai.
Media contact: Public Relations Team ZoomInfo PR@zoominfo.com
