ZoomInfo Released Connector for Superhuman Go AI
The integration allows users to access GTM intelligence data directly within the AI assistant workflow.
Updated on Sept. 29, 2026 in Artificial Intelligence

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ZoomInfo has launched a new connector for Superhuman Go, enabling revenue teams to pull GTM intelligence data into their AI assistant. This integration leverages the Model Context Protocol to enhance sales meeting preparation and engagement personalization.
Why it matters
By embedding GTM data into AI workflows, the integration aims to help revenue teams personalize their outreach and streamline meeting preparation. It connects users directly to extensive firmographic and contact datasets without leaving their AI environment.
The integration utilizes the Model Context Protocol interface to bridge ZoomInfo's GTM Context Graph, which houses 100 million companies and 500 million contacts. Access control and audit logging remain tied to existing customer permissions.
The players
ZoomInfo
Headquartered in Vancouver, Washington, this software company provides GTM intelligence and data platforms for businesses.
Superhuman Go
This is an AI-powered assistant designed to support productivity and workflow management for professional users.
The details
The connector allows users to search for target accounts by specific criteria such as industry, size, or tech stack to pull necessary contact information directly into Superhuman Go. This process is designed to provide revenue teams with relevant context for more efficient engagement.
Timeline
September 29, 2026: ZoomInfo launched the Superhuman Go connector.
The Tech Race
This integration reflects a growing industry effort to unify siloed business intelligence data through standardized interfaces like the Model Context Protocol. By bridging these platforms, companies are moving away from manual data retrieval toward autonomous AI-driven workflows.
Users can now leverage ZoomInfo's extensive contact database to automate research tasks directly within their email and AI assistant workflows. This reduces the time spent switching between tabs to gather account information, potentially improving efficiency during sales outreach.
The takeaway
Businesses looking to maximize their AI investments should prioritize integrations that allow large language models to interact with verified proprietary data. Maintaining strict audit logging while enabling these connections is essential for balancing operational efficiency with data security.
Further reading
For more information on the current landscape of enterprise software automation, visit the Artificial Intelligence section.
More information
View full details and availability on the Superhuman Go ZoomInfo connector page.
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