ZoomInfo Launches GTM.AI, the Headless GTM Context Layer, to Ground Every AI Agent in Verified GTM Data

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.

agentic workflows technical

Agentic workflows are sequences of tasks where software 'agents' act on their own to move information, make routine decisions, and trigger actions across computer systems with minimal human hand-holding. For investors, they matter because they can cut labor and processing time much like replacing a row of manual cashiers with self‑serving kiosks, improving margins and speed but also introducing new operational, security and regulatory risks that can affect costs, reliability and compliance.

iso 27701 regulatory

ISO 27701 is an international standard that sets out a clear framework for how organizations should collect, store and manage personal data to protect people's privacy. Think of it as a cookbook of practical steps and records that reduce the chance of data leaks, regulatory fines and reputational damage; investors use certification against this standard as a sign the company is managing privacy risks responsibly and is less likely to face costly compliance problems.

iso 27001 regulatory

ISO 27001 is an internationally recognized standard that sets out the best practices for managing and protecting sensitive information within an organization. It acts like a security blueprint, helping companies ensure data is kept safe from theft, loss, or damage. For investors, organizations with ISO 27001 certification demonstrate a strong commitment to information security, reducing the risk of data breaches that could impact business stability and reputation.

soc 2 type ii regulatory

A SOC 2 Type II report is an independent audit that verifies a company’s operational controls for protecting customer data work effectively over a sustained period, not just at a single point in time. Think of it like a multi-month health inspection for a business’s data practices: it reassures customers and investors that systems are managed reliably, lowering the risk of breaches, service interruptions, and regulatory or liability costs.

gdpr regulatory

General Data Protection Regulation is a law that sets rules for how organizations must collect, store and use personal data about people, and gives individuals rights over that data. It matters to investors because noncompliance can lead to large fines, higher operating costs and damaged reputation, while strong compliance can be a competitive advantage—think of it as a strict safety code for handling customer information.

identity-resolved ip-to-organization pairings technical

Identity-resolved IP-to-organization pairings are verified mappings that link internet protocol (IP) addresses to the real companies or entities that control them, with extra steps taken to confirm the identity rather than relying on raw technical records alone. For investors this matters because it clarifies who is responsible for online activity—helping spot cybersecurity incidents, regulatory exposure, vendor risk or misleading claims—much like matching a phone number to a specific business to judge trust and liability.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

ZoomInfo has made GTM.AI generally available as the verified data foundation that grounds AI agents across the go-to-market ecosystem, from Claude, ChatGPT, Microsoft Copilot to Salesforce Agentforce, HubSpot Breeze, and dozens more, in continuously verified B2B intelligence.

VANCOUVER, Wash.--(BUSINESS WIRE)-- ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, has confirmed the general availability of GTM.AI, the headless GTM context layer and the API and Model Context Protocol home that makes the company's verified intelligence natively accessible to AI agents across the tools go-to-market teams already use. Through one connection, that verified intelligence now reaches dozens of surfaces including:

• Frontier AI assistants: Claude, ChatGPT, Microsoft Copilot
• Agentic CRM and orchestration platforms: Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, and IBM watsonx Orchestrate.
• Sales execution and engagement tools: Outreach AI, Nooks AI, Gong, and LeanData.
• Data and agent platforms: Google ADK, Dust, Glean, Databricks, and Google’s Agent Development Kit.

Any connected agent can ground its work in the same continuously verified data that powers the world's largest revenue organizations, without rebuilding pipelines, without scraping, and without compromising on compliance.

Go-to-market is being rebuilt in real time. The teams pulling ahead are not the ones with the most tools, they are the ones whose AI is grounded in the cleanest, most verified data, wired into every workflow they run.

The depth and breadth AI agents in GTM actually need. Frontier models are exceptional at reasoning, but they are constrained by what they can access. The ceiling on agentic go-to-market is not model intelligence. It is the quality, freshness, and structure of the data the model can call. The GTM Context Graph behind GTM.AI resolves 100 million companies, 500 million contacts, billions of buying signals, and identity-resolved IP-to-organization pairings into one connected graph, so every record resolves to every other record. When an agent asks for VP-level marketing leaders at fast-growing fintechs that moved their data warehouse to Snowflake and have a champion who just changed jobs, the system returns a verified, contactable, signal-ranked list in a single call.

One GTM context layer, available everywhere work happens. The Model Context Protocol, the open standard for connecting AI systems to external data and tools, has become the connective tissue of the agentic era. ZoomInfo's MCP implementation positions GTM.AI as the headless context layer beneath every connected agent, exposing company search, contact discovery, real-time enrichment, intent retrieval, and AI-powered recommendation, each governed by the customer's existing data entitlements and permissions. Inside Claude, an analyst can build a target account list, enrich it with verified contacts, and produce a buying-committee map in one conversation. Inside ChatGPT, a seller can prep a discovery call by pulling org structure, news, intent signals, and direct dials without leaving the chat. Inside Salesforce Agentforce or HubSpot Breeze, an autonomous agent can prospect against verified accounts instead of stale CRM records. Same verified intelligence, same GTM Context Graph, whichever surface the work happens on.

B2B data decays fast. By widely cited industry estimates, roughly 70 percent of contact data goes stale every year, and that decay is fatal to agentic workflows. An agent acting on stale data does not just produce a bad outcome. It produces bad outcomes at machine speed and scale. ZoomInfo's verification methodology, built on proprietary collection technology, machine learning, public-source signal processing, and a contributory network, is what allows agents to act with confidence. Forrester has named ZoomInfo a Leader in Intent Data Providers, citing the largest research and development investment of any provider. Enterprise compliance is built in across ISO 27701, ISO 27001, SOC 2 Type II, and TRUSTe GDPR.

For the go-to-market operator, the implication is direct. The AI tools your teams already use, whether that is Claude or ChatGPT for research, Microsoft Copilot for execution, Salesforce Agentforce or HubSpot Breeze for autonomous prospecting, or Outreach AI and Nooks AI for engagement, can now operate against the same source of truth. You do not need a new workflow. You need a better version of the one you already have. GTM.AI, ZoomInfo's headless GTM context layer, is generally available to ZoomInfo customers, with setup guides and full developer documentation for the MCP server and APIs available at gtm.ai.

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.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260601055723/en/

Media contact:
Dennis Sevilla
ZoomInfo
PR@zoominfo.com
330 W. Columbia Way, Floor 8, Vancouver, WA 98660, United States

Source: ZoomInfo