Go-to-market is being rebuilt in real time. The sprawling stack of disconnected tools — data providers, sequencing platforms, enrichment vendors, CRMs — is collapsing into a smaller number of AI-native systems where reasoning, retrieval, and execution happen in one place.
It's a marked shift from how GTM ran before: the teams pulling ahead are no longer ones with the most tools, but the ones whose AI is grounded in the cleanest, most verified data, wired into every workflow they run.
Today, ZoomInfo is making that possible at scale. We're announcing the general availability of GTM.AI: the API and MCP home that brings ZoomInfo's verified B2B intelligence natively to AI agents inside Claude, ChatGPT, and Microsoft Copilot.
With a single connection, any AI agent can now ground its work in the same continuously verified intelligence that powers the world's largest revenue organizations.
The ceiling on agentic GTM is data quality, not reasoning intelligence
Frontier models are exceptional at reasoning. They're constrained by what they can access. That's the real bottleneck in agentic go-to-market: not whether your AI can think, but whether it has something accurate and current to think about.
B2B data decays fast; by widely cited industry estimates, roughly 70% of contact data goes stale every year. An agent acting on stale data doesn't produce only a single bad outcome. It produces bad outcomes at machine speed and scale. ZoomInfo has spent more than fifteen years building for exactly that constraint.
The data foundation now powering every GTM.AI integration includes:
500M+ professional profiles across the Americas (200M+), Asia (80M+), Europe (70M+), and Africa (20M+)
250M+ company records with firmographics, technographics, corporate hierarchy, and international coverage
500M+ contact records with current role and contact info, employment history, education, mobile phone numbers, and board memberships
Billions of buying signals: intent activity, Scoops & news, champion movement, earnings, call transcripts, and funding events
200M+ IP-to-organization pairings powering deterministic identity resolution at the visit, account, and buying-group level
Custom data layers including target persona density, technology install footprint, employer alumni networks, custom flags, predictive models and scores, and the AI Insights Cube
This is a connected graph, not just a list of tables. Every record resolves to every other record, so when an agent asks "find VP-level marketing leaders at fast-growing fintechs in the Northeast that recently switched 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.
Independent competitive evaluations have consistently ranked ZoomInfo's data coverage and accuracy at the top of the category, and Forrester has named ZoomInfo a Leader in Intent Data Providers, citing the largest R&D investment of any provider.
One intelligence layer, available wherever work happens
The Model Context Protocol (MCP), 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 gives every connected agent access to a purpose-built set of tools spanning company search, contact discovery, real-time enrichment, intent retrieval, and AI-powered recommendation, each governed by the customer's existing data entitlements and permissions.
In practice, that means:
Inside Claude, an analyst can build a target account list, enrich it with verified contacts, and produce a buying-committee map, all in one conversation.
Inside ChatGPT, a seller can prep a discovery call by pulling org structure, recent news, intent signals, and direct dials without leaving the chat.
Inside HubSpot Prospecting Agent, an Account Manager can discover members of buying committees and enrich them with verified contacts.
Same verified intelligence. Same context graph. Whichever surface the work happens on.
Built for compliance, not just capability
Verified data is a performance advantage, but it's also a compliance requirement. ZoomInfo's verification methodology combines proprietary collection technology, machine learning, public-source signal processing, and a contributory network to keep data current and accurate.
Enterprise compliance is built in across ISO 27701, ISO 27001, SOC 2 Type II, and TRUSTe GDPR, so the agents your teams are deploying are both smarter and defensible.
You don't need a new workflow. You need a better version of the one you already have.
The AI tools your teams already use— like Claude for research, ChatGPT for synthesis, Copilot for execution — can now operate against the same source of truth as your CRM. GTM.AI doesn't ask you to change how you work. The real difference is in how it makes the work you're already doing dramatically more accurate, more complete, and more actionable.
"The companies winning in the agentic era are the ones whose AI is grounded in verified, structured, real-time data. Reasoning without that foundation is fluent guesswork. We have spent 15+ years building the foundation, and GTM.AI brings it natively to every AI surface where revenue teams are already working."
- Henry Schuck, ZoomInfo Founder and CEO
Get started today
GTM.AI is generally available now to ZoomInfo customers. Setup guides for connecting ZoomInfo to Claude, ChatGPT, and Microsoft Copilot — along with full developer documentation for the MCP server and APIs — are available at gtm.ai .
