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ZoomInfo Launches Superhuman Go Connector, Bringing GTM Context Graph Data Into Customer Workflows

Existing ZoomInfo and Superhuman permissions govern the connection, with audit logging and data lineage applying to it.

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VANCOUVER, Wash.--(BUSINESS WIRE)-- ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, has launched a connector for Superhuman Go, the AI assistant from Superhuman that works wherever people work. The integration allows mutual customers to bring ZoomInfo's verified GTM intelligence data into Superhuman Go, so the context users need comes to them in the apps they’re already working in.

The connector reads directly from GTM.AI, ZoomInfo's headless GTM context layer, through the same API and Model Context Protocol (MCP) interface that already powers integrations across ZoomInfo's GTM Context Graph, which spans 100 million companies, 500 million contacts, and billions of buying signals. With the connector, users can search for target accounts by industry size or tech stack and pull verified contacts by title and seniority directly into where they’re working. They can also surface intent signals and generate a full account or contact brief before sales meetings.

“Superhuman Go is built to bring the right intelligence and assistance to people wherever work happens,” said Jessica Gates, Director of ISV Partnerships. “With ZoomInfo’s GTM Context Graph available through a native connector, our customers can bring verified company, contact, and buying-signal context into the workflows they already use. This gives revenue teams more relevant context at the moment they need it, helping them prepare faster, personalize engagement, and focus on moving opportunities forward.”

Superhuman Go joins a growing list of GTM.AI integrations, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, Gong, LeanData, Claude, ChatGPT, and Google Workspace, all reading from the same verified data graph.

Authentication and governance stay tied to each customer's existing ZoomInfo and Superhuman permissions. Access control, data lineage, and audit logging apply to the Superhuman Go connection the same way they apply across every other GTM.AI integration.

The ZoomInfo connector is available to add now for Superhuman Go customers with a ZoomInfo subscription. Connect today at: https://superhuman.com/store/connectors/zoominfo-55877

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, and dozens more.

Learn more at zoominfo.com and gtm.ai.

Media contact: Public Relations Team, ZoomInfo: PR@zoominfo.com

Source: ZoomInfo

Key Terms

api technical
An API, or Application Programming Interface, is a set of rules that allows different software programs to communicate and work together smoothly, much like a waiter translating your order into the kitchen and then bringing your meal back. For investors, APIs are important because they enable real-time access to financial data, trading systems, and other digital services, making it easier to make informed decisions quickly and efficiently.
model context protocol technical
A model context protocol is a set of rules or guidelines that determine how a financial model interprets and applies information within a specific situation. It helps ensure consistent and accurate analysis by clarifying what data or assumptions are relevant in a given scenario. For investors, it provides clarity on how predictions or assessments are made, increasing confidence in decision-making.

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