Organizations building AI-native applications are increasingly prioritizing real-time, verified data as the foundation for production-ready systems. In a new integration, ZoomInfo has enabled applications built in Vercel v0 to directly access its GTM.AI layer, bringing structured go-to-market intelligence into AI-generated applications from the earliest stages of development.
Vercel v0 transforms natural-language prompts into functional, production-ready applications. With the integration, these applications can now connect to ZoomInfo’s GTM.AI layer to retrieve verified go-to-market data instead of relying on static exports or synthetic datasets.
GTM.AI exposes the ZoomInfo GTM Context Graph, which includes identity-resolved information on more than 100 million companies, 500 million contacts, and billions of signals. Through an API and Model Context Protocol (MCP) endpoint, applications built in v0 can query this structured dataset to retrieve company profiles, contact records, buying signals, and intent data in real time.
Traditionally, AI application builders have relied on fragmented or outdated datasets such as CRM exports or manually curated tables. This approach often leads to inaccurate outputs when applications are deployed in real-world environments.
With GTM.AI integrated into v0, applications are grounded in continuously refreshed and identity-resolved data. This ensures that when developers describe workflows such as account scoring, territory planning, or routing logic in natural language, the resulting application operates on verified GTM intelligence from the outset.
By accessing the GTM Context Graph directly, AI applications can reason over consistent and structured records aligned with ZoomInfo’s internal data infrastructure.
The integration unlocks multiple practical applications for sales, marketing, and RevOps teams:
These use cases reduce the dependency on manual data engineering while accelerating time-to-value for revenue-focused applications.
All authentication and governance controls remain tied to existing ZoomInfo permissions. Every request made through a v0 application inherits access control, audit logging, AI policy enforcement, and data lineage tracking.
This ensures that organizations maintain a consistent governance layer across ZoomInfo, Vercel v0, and any other connected AI platforms consuming GTM.AI.
AI application performance is highly dependent on data quality. With approximately 70% of B2B contact data decaying each year, relying on static datasets introduces significant operational risk.
By connecting Vercel v0 directly to the GTM Context Graph, ZoomInfo ensures that AI applications are built on continuously refreshed, identity-resolved intelligence. This shift enables more accurate decision-making across revenue operations, reducing errors caused by outdated or incomplete data.
The integration also positions GTM.AI as a central context layer for AI systems, extending beyond traditional CRM or data warehouse dependencies.
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.
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