ZoomInfo integrates GTM.AI with Vercel v0 for AI app building

1 min read     Updated on 30 Jun 2026, 10:38 PM
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Reviewed by
Radhika SScanX News Team
AI Summary

ZoomInfo has integrated its GTM.AI platform with Vercel v0, allowing applications built with the AI tool to access verified go-to-market data. The integration connects ZoomInfo's Context Graph, containing data on 100M companies and 500M contacts, directly into the development process. This ensures AI applications reason over current, identity-resolved data rather than static exports.

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ZoomInfo (NASDAQ: GTM) has integrated its GTM.AI platform with Vercel v0, enabling applications built using the AI tool to access verified go-to-market data directly from the development stage. The integration connects ZoomInfo's verified company data, buying signals, and intent into applications built in Vercel v0 through GTM.AI, which serves as ZoomInfo's headless GTM context layer. This connection allows developers to ground their applications in live data rather than static exports, addressing a common failure point in production environments where AI tools act on outdated or incorrect information.

GTM.AI exposes ZoomInfo's GTM Context Graph via an API and a Model Context Protocol (MCP) endpoint. This graph holds identity-resolved data on 100M companies, 500M contacts, and billions of signals. An application built in v0 calls this endpoint to read verified company data, contact data, buying signals, and intent. Because the data is identity-resolved and current, the application reasons over the same records that power ZoomInfo itself, ensuring accuracy and reliability.

Verified Data Integration

The integration allows teams to bypass traditional data pipeline hurdles. A RevOps team can describe an account-scoring view, a territory dashboard, or a routing workflow in plain English and receive a working application that reasons over verified data. Sales and marketing teams can build internal tools to search companies, enrich contacts, and read buying signals without needing to establish a separate data infrastructure first.

Governance and Security

Authentication and governance remain tied to existing ZoomInfo permissions. Every call a v0 application makes through GTM.AI inherits access control, data lineage, AI policy, and audit logging. This structure ensures organizations maintain a single governance posture across ZoomInfo, v0, and any other platform consuming GTM.AI data.

Ecosystem Expansion

Vercel v0 joins dozens of completed integrations on GTM.AI. The platform now connects with Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Claude, ChatGPT, and Google Workspace. GTM.AI exposes the same verified data graph and agentic orchestration to any connecting platform, agent, or workflow. The integration leverages the GTM Context Graph, which is continuously refreshed at the company and contact level to combat the approximately 70% annual decay rate of B2B contact data.

Data Metric Volume
Companies 100M
Contacts 500M
Signals Billions

How will this integration impact the adoption rate of Vercel v0 among enterprise sales and RevOps teams?

What are the potential latency or performance trade-offs when querying live ZoomInfo data during the application development stage?

Will ZoomInfo introduce usage-based pricing specifically for the high-volume API calls generated by AI agents in Vercel v0?

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ZoomInfo named One to Watch in Snowflake marketing report

1 min read     Updated on 30 Jun 2026, 01:29 AM
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Reviewed by
Suketu GScanX News Team
AI Summary

ZoomInfo was named a 'One to Watch' in Snowflake's Modern Marketing Data Stack report for its Data & Identity solutions. The report, based on insights from over 11,500 customers, highlights the shift to AI-driven systems. ZoomInfo's GTM.AI allows revenue teams to access data directly within Snowflake's AI Data Cloud.

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ZoomInfo has been recognized by Snowflake as a Data & Identity "One to Watch" in The Modern Marketing Data Stack: Governing the Agentic Enterprise report. The announcement was made at Cannes Lions 2026. This recognition highlights ZoomInfo's role in enabling revenue teams to access data and agents directly within the Snowflake AI Data Cloud.

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a shift in marketing operations from fragmented tools to AI-driven, agentic systems. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories. It emphasizes how organizations are enabling AI to move beyond assistance to decisioning and action across the marketing lifecycle.

ZoomInfo's data, audiences, skills, and agents are accessible from inside the Snowflake AI Data Cloud without the need for exports or duplicate copies. Revenue teams can build account lists, intent plays, and ABM programs using ZoomInfo data within the governance, lineage, and access controls established in Snowflake. For GTM engineers, GTM.AI exposes data and agents via MCP and APIs, allowing agents running in platforms like Claude or ChatGPT to call ZoomInfo.

Dennis Sevilla, Chief Marketing Officer of ZoomInfo, stated that revenue teams are rebuilding their stack around AI agents and need a data layer those agents can access. He noted that GTM.AI is powered by the GTM context layer for ZoomInfo, governed on Snowflake for customers who operate there.

Denise Persson, Chief Marketing Officer of Snowflake, remarked that ZoomInfo is among a small number of partners building for the agentic enterprise from the data layer up. She cited ZoomInfo's MCP availability and the GTM.ai marketplace as factors that make its data directly callable by agents, providing the governance customers expect when running against the Snowflake AI Data Cloud.

Key Insights from the Report

Aspect Detail
Report Name The Modern Marketing Data Stack: Governing the Agentic Enterprise
Recognition Category Data & Identity "One to Watch"
Insights Source 11,500+ Snowflake customers and partners
Categories Covered 13

How will the integration of ZoomInfo's agents with platforms like Claude and ChatGPT via MCP impact the adoption rate of AI tools among revenue teams?

What specific competitive advantages does being recognized as 'One to Watch' provide ZoomInfo against other data providers in the Snowflake ecosystem?

How might Snowflake's governance and access controls influence the development of future AI agents that rely on ZoomInfo's data layer?

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