ZoomInfo's verified intelligence (100M companies, 500M contacts, and billions of buying signals) is now available natively inside Gemini Enterprise through GTM.AI, the API and Model Context Protocol (MCP) home for agentic GTM.
Mutual customers can now enrich account and contact profiles, analyze buyer intent, and search ZoomInfo's news and Scoops coverage, all in natural language, directly inside Gemini Enterprise.
GTM.AI is the API and MCP home for AI agents, exposing ZoomInfo's B2B Context Graph through the same interface that already powers Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, Claude, and ChatGPT. The ZoomInfo connector is configured as a Gemini Enterprise data store, so no separate integration project sits between a customer's Gemini Enterprise agents and ZoomInfo's live data. With the new connector, every Gemini Enterprise agent reasoning over a customer's business data can reach ZoomInfo's verified GTM data as a first-class source, and a GTM team gets account, contact, and intent answers grounded in current data instead of whatever their other connected systems happen to have indexed.
What is Gemini Enterprise?
Gemini Enterprise is Google Cloud's enterprise AI platform, connecting an organization's business data, applications, and workflows to Google's Gemini models through a library of first- and third-party connectors. It is built for enterprise agentic search and workflows across a company's existing systems, not just the consumer Gemini app. The ZoomInfo connector is one of those third-party data stores, configured directly in the Gemini Enterprise console.
How does the ZoomInfo connector for Gemini Enterprise work?
The ZoomInfo connector lives inside the Gemini Enterprise console as a data store. An administrator sets it up under "Set up a ZoomInfo data store," and from that point any Gemini Enterprise agent can query data and orchestration endpoints directly.
A RevOps user can ask a natural-language question about an account, and the agent reaches for verified company and contact data rather than whatever happens to be sitting in a connected CRM. Three capabilities are exposed today: enriching account and contact profiles, analyzing buyer intent signals, and searching ZoomInfo's news and Scoops coverage. Every query runs against ZoomInfo's live GTM Context Graph, the same identity-resolved data a ZoomInfo user sees inside the platform itself.
What is GTM.AI, and why is it the context layer for Gemini Enterprise?
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 MCP, so any agent, platform, or workflow can plug in.
GTM.AI has two layers. The GTM Context Graph is the data foundation: identity-resolved company and contact records, intent and technographic signals, hierarchy and relationship graphs, refreshed continuously. The Agentic Orchestration layer turns the graph into action, letting agents read it, reason over it, and hand off to downstream systems. A governance layer sits above both: access control, permissioning, AI policy, data lineage, and audit logging.
For Gemini Enterprise, the implication is structural. An agent answering a natural-language question about an account or a buyer no longer has to depend on whatever data happens to be indexed in the customer's other connected sources. The native connector makes ZoomInfo's verified GTM data available alongside a customer's existing Gemini Enterprise data stores. Gemini Enterprise joins a growing list of integrations on the same infrastructure layer, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, Claude, and ChatGPT.
Why does the data layer matter for buyer intent research?
B2B contact data decays at roughly 70% per year. A natural-language question about buyer intent, answered against stale data, returns a fluent but wrong answer. A GTM team asking a Gemini Enterprise agent which accounts are showing active buying signals needs a real answer grounded in current data, not a confidently rendered guess built on a months-old snapshot.
Verified, continuously refreshed data through a continuously queryable graph is the difference between an answer a GTM team can act on and one that quietly wastes a rep's morning. GTM.AI was built for that requirement, and the native connector brings it directly inside the enterprise AI surface where those questions are increasingly being asked.
How is the ZoomInfo connector different from a generic data connector?
Native MCP connector, not a bolt-on integration. The connector reads GTM.AI's data and orchestration endpoints directly through MCP, configured once as a Gemini Enterprise data store.
Verified data layer through GTM.AI. Most enterprise search tools answer against whatever a customer has already indexed. With the ZoomInfo connector, the data layer is verified GTM intelligence by default, alongside the customer's other data stores.
Platform-level governance. Access control, permissioning, data lineage, AI policy, and audit logging apply consistently to every query the connector serves, the same posture GTM.AI applies across every other surface it reaches.
What does this mean for GTM and RevOps teams using Gemini Enterprise?
Account and contact research inside the AI tools teams already use. Enrichment and lookups happen in natural language, inside Gemini Enterprise, instead of a separate tab.
Buyer intent grounded in real signals, not guesswork. Intent analysis draws on ZoomInfo's continuously refreshed signal data rather than whatever a CRM happened to log.
One context layer across AI. Teams running Gemini Enterprise alongside Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, or a custom MCP agent get the same verified GTM context everywhere, through GTM.AI.
FAQ: Gemini Enterprise, the ZoomInfo MCP connector, and GTM.AI
What is Gemini Enterprise?
Gemini Enterprise is Google Cloud's enterprise AI platform. It connects an organization's business data, applications, and workflows to Google's Gemini models through first- and third-party connectors, enabling agentic search and workflows across a company's existing systems.
What can users do with the ZoomInfo connector for Gemini Enterprise?
Users can enrich account and contact profiles, analyze buyer intent, and search ZoomInfo's news and Scoops coverage, all in natural language, directly inside Gemini Enterprise.
How does the ZoomInfo connector for Gemini Enterprise work?
An administrator configures ZoomInfo as a data store inside the Gemini Enterprise console. From that point, any Gemini Enterprise agent can query GTM.AI's data and orchestration endpoints directly, in natural language.
Does the connector use MCP?
Yes. GTM.AI exposes its capabilities through Model Context Protocol in addition to a standard REST API, consistent with GTM.AI's broader agentic architecture.
What is GTM.AI?
GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph (100M companies, 500M contacts, and billions of signals) alongside agentic orchestration and platform-level governance through API and Model Context Protocol (MCP). GTM.AI powers dozens of completed integrations including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, Claude, ChatGPT, Google Workspace, and now Gemini Enterprise.
Who is the data provider for Gemini Enterprise agents through this connector?
ZoomInfo is the data provider. GTM.AI is the integration surface, the API and MCP layer that exposes ZoomInfo's verified intelligence to Gemini Enterprise agents.
Where does the data come from?
ZoomInfo's GTM Context Graph. The same identity-resolved data, intent signals, and company and contact records used inside ZoomInfo. Continuously refreshed, continuously queryable.
How does GTM.AI handle governance for the Gemini Enterprise connector?
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 itself, partner platforms, and now Gemini Enterprise.
Why does the data layer matter for buyer intent and account research?
B2B contact data decays at roughly 70% per year. A natural-language question answered against stale data returns a fluent but wrong answer. Verified, continuously refreshed data through a queryable graph is the difference between an answer a GTM team can act on and one that erodes trust in the platform.
What other platforms does GTM.AI integrate with?
Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, Claude, ChatGPT, Google Workspace, and customer-built MCP agents, alongside Gemini Enterprise.
Is the ZoomInfo connector for Gemini Enterprise available now?
It is in public preview today, available to Gemini Enterprise customers across global location options.
Where can I learn how to set it up?
Google Cloud publishes setup documentation for the connector at docs.cloud.google.com, covering how to configure ZoomInfo as a Gemini Enterprise data store.
Availability in Gemini Enterprise
The ZoomInfo connector for Gemini Enterprise is in public preview today, available to Gemini Enterprise customers across global location options. Administrators can enable it as a data store from the Gemini Enterprise console.
