ZoomInfo's verified intelligence (100M companies, 500M contacts, billions of buying signals) now powers the Salesforce Agentforce Prospecting Agent through GTM.AI, the API and Model Context Protocol home for agentic GTM.
ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, today announced that the Salesforce Agentforce Prospecting Agent is now generally available, powered by GTM.AI as the GTM Context Layer underneath every account and contact recommendation it makes. Mutual customers get verified contact, company, intent, and Scoops data inside Agentforce by default, with no separate enrichment pass, no CSV import, and no broker layer. The Prospecting Agent builds a daily prioritized queue of accounts and contacts, explains the "why now" rationale on each row, and drafts personalized outreach against verified data. GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph and agentic orchestration through API and Model Context Protocol (MCP), so any platform, agent, or workflow can plug in. With this integration, Salesforce customers running Agentforce inherit the same data foundation that already powers HubSpot Breeze, Microsoft Copilot Studio, IBM watsonx Orchestrate, Outreach AI, Claude, and ChatGPT.
Key takeaways
The Salesforce Agentforce Prospecting Agent is generally available and runs on ZoomInfo's GTM.AI as the GTM Context Layer for account and contact recommendations.
Each queue row includes a "Why this account" and "Why this prospect" explanation grounded in concrete signals (BDR team size, YoY growth, technology footprint, CRM activity, funding events, executive moves, and active intent), with every signal cited to source.
GTM.AI is the headless GTM context layer. It powers dozens of completed integrations across CRMs, AI assistants, MCP-native agents, and sales engagement platforms, with the same governance applied everywhere.
The GTM Context Graph behind GTM.AI maintains identity-resolved data on 100M companies, 500M contacts, and billions of signals, continuously updated and continuously queryable.
Early adopter Perk reports that the Prospecting Agent generated 60% of its outbound pipeline in the first two weeks of use.
What is the Salesforce Agentforce Prospecting Agent?
The Salesforce Agentforce Prospecting Agent is an autonomous AI sales agent that runs inside Salesforce and builds a prioritized prospecting queue for every rep. It identifies target accounts, surfaces the right contacts, explains the timing rationale, and drafts personalized outreach before a rep starts the day. The agent automates the highest-volume, lowest-judgment portions of a traditional SDR or BDR workflow. Reps keep ownership of the conversation, the relationship, and the close.
The Prospecting Agent operates as one of the sales-focused agents on the Agentforce platform. Reps see two contextual columns on every queue row. The first, "Why this account," explains in plain language why the account is on the list, grounded in concrete signals like BDR team size, YoY growth, technology footprint, CRM activity, funding events, executive moves, and active intent. Each signal cites its source. The second, "Why this prospect," explains why the named contact is the right person to reach, combining Salesforce engagement history with GTM.AI signals like job changes, new champions, and intent surges.
What is Agentforce?
Agentforce is Salesforce's platform for autonomous AI agents. Agentforce agents run across sales, service, marketing, and commerce, inside the Salesforce environment a rep already uses every day. The Prospecting Agent is the sales-focused agent surface, where outbound pipeline development happens. Other Agentforce agents handle service tickets, marketing journeys, and commerce workflows. All of them sit on the same platform, and all of them can be wired to GTM.AI for verified GTM data.
How does the Salesforce Agentforce and ZoomInfo integration work?
The Prospecting Agent reads ZoomInfo data through GTM.AI as a first-class data source. A mutual customer connects their ZoomInfo entitlement to Agentforce, and from that moment every queue the Prospecting Agent builds is grounded in the GTM Context Graph.
Account selection. The agent reaches GTM.AI for firmographic, technographic, intent, Scoops, and hierarchy signals, and combines them with Salesforce CRM data to rank accounts by "why now." A rep opening the agent in the morning sees accounts in priority order, with the signal mix that drove the ranking surfaced row by row.
Contact selection. Once an account is on the queue, the agent uses GTM.AI to identify the right contacts inside it: verified email, verified mobile, current title, current employer, recent job changes, and intent activity. CRM engagement history layers in on top. A rep sees the named contact, the role, the reason that contact is the right entry point, and a draft outreach message keyed to the surfaced signals.
Outreach drafting. The agent generates the first-pass message using the cited signals as the personalization payload. The rep reviews, edits, and sends. The drafting step does not invent facts. It uses what the GTM Context Graph and Salesforce together know about the account and the contact.
What is GTM.AI, and why is it the GTM Context Layer for Agentforce?
GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph and agentic orchestration through API and Model Context Protocol (MCP), so any tool, agent, or platform can plug in. Salesforce Agentforce is one of dozens of completed integrations on GTM.AI, alongside HubSpot Breeze, Microsoft Copilot Studio, IBM watsonx Orchestrate, Outreach AI, Gong, LeanData, Glean, Alysio, Manus, Dust, Claude, ChatGPT, Codex, and Google Workspace.
GTM.AI has two layers and one governance plane. The bottom layer is the GTM Context Graph, which holds identity-resolved data on 100M companies, 500M contacts, and billions of signals. The middle layer is agentic orchestration, which lets agents read from the graph, act on it, and write back. The governance plane sits above both, applying access control, permissioning, data lineage, AI policy, and audit logging consistently across every surface that consumes GTM.AI. Agentforce, the Prospecting Agent, and any future agent the customer builds inherit the same governance posture.
Why does the data layer matter for an AI sales agent?
About 70% of B2B contact data decays every year. A manual SDR running off a stale list pays for the mistake one bad call at a time. An autonomous AI sales agent running off the same stale data produces thousands of incorrect outreaches a day, erodes brand trust at machine scale, and trains reps to ignore the agent's output. The agent does not get the benefit of human judgment correcting the list as it goes.
Verified, continuously refreshed data through the GTM Context Graph is the structural fix. Every "why now" the Prospecting Agent surfaces is grounded in real-time GTM intelligence, and every cited signal traces back to a source the rep can pressure-test. The data layer is what separates an AI sales agent that produces pipeline from one that produces noise.
How is Agentforce + GTM.AI different from a generic AI SDR tool?
Three dimensions of difference matter:
Native CRM placement. The Prospecting Agent runs inside Salesforce against live records, with no separate tool license, no parallel login, and no integration maintenance. A rep does not leave Salesforce to use the agent.
Verified data layer through GTM.AI. Most AI SDR tools answer against whatever data the customer brings. With GTM.AI as the GTM Context Layer, the agent reads from the GTM Context Graph by default: verified contact, company, intent, Scoops, and technographic data, continuously refreshed and identity-resolved.
Cited reasoning with platform-level governance. The agent surfaces the signals that drove each recommendation, and GTM.AI's platform applies access control, permissioning, data lineage, AI policy, and audit logging consistently across every agent surface. Reps see why. Buyers see compliance.
What does this mean for sales leaders?
The research-to-outreach gap collapses. Reps stop list-building and message-drafting from scratch. They start the day reviewing half-completed agent work.
Pipeline ownership becomes co-production. The agent owns prioritization and drafting. The rep owns conversation, relationship, and close.
The data layer becomes the competitive moat. Every CRM is shipping an agent platform. The differentiation derives from access to the freshest, most connected, most verified picture of the market, and from a single governance posture across every agent in the stack.
What results are early customers seeing?
Perk reports that the Salesforce Agentforce Prospecting Agent generated 60% of its outbound pipeline in the first two weeks of use. The metric measures pipeline, not activity, meetings booked, or clicks. The number is a working signal that an AI sales agent grounded in verified data produces real revenue, not vanity output.
FAQ: Salesforce Agentforce Prospecting Agent, the ZoomInfo integration, and GTM.AI
What is the Salesforce Agentforce Prospecting Agent? The Salesforce Agentforce Prospecting Agent is an autonomous AI sales agent inside Salesforce that identifies target accounts, surfaces the right contacts, explains the timing, and drafts personalized outreach before a rep starts the day. It runs as one of the sales-focused agents on the Agentforce platform.
What is Agentforce? Agentforce is Salesforce's platform for autonomous AI agents, operating inside Salesforce across sales, service, marketing, and commerce. The Prospecting Agent is the outbound-pipeline-focused agent surface on the platform.
Is the Prospecting Agent part of Agentforce? Yes. The Prospecting Agent is built on the Agentforce platform and runs inside the rep's existing Salesforce environment, with no separate tool or login required.
How does the ZoomInfo and Salesforce Agentforce integration work? ZoomInfo data reaches Agentforce through GTM.AI as the GTM Context Layer. Mutual customers connect their ZoomInfo entitlement to Agentforce, and from that moment the Prospecting Agent reads verified contact, company, intent, Scoops, and technographic data from ZoomInfo's GTM Context Graph as a first-class data source.
What is GTM.AI? GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph (100M companies, 500M contacts, billions of signals), agentic orchestration, and platform-level governance through API and Model Context Protocol (MCP), so any agent, platform, or workflow can plug in. GTM.AI powers dozens of completed integrations including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot Studio, IBM watsonx Orchestrate, Outreach AI, Gong, LeanData, Glean, Alysio, Claude, ChatGPT, and Google Workspace.
Does the Prospecting Agent use MCP? GTM.AI exposes its capabilities through Model Context Protocol in addition to a standard REST API. Agentforce agents reach GTM.AI through the surface that fits their workflow.
Who is the data provider for the Prospecting Agent? ZoomInfo is the data provider. GTM.AI is the integration surface, the API and MCP layer that exposes ZoomInfo's verified intelligence to Agentforce.
Where does the Prospecting Agent run? Inside the rep's existing Salesforce environment, as part of Agentforce. No separate tool. No parallel login.
What signals does the Prospecting Agent use? A mix of GTM.AI Context Graph signals (verified contacts, companies, intent, Scoops, technographics, hierarchy, executive moves, funding events) and Salesforce CRM signals (opportunity history, engagement, objections), with each signal cited to source on the queue row.
How is the Salesforce Prospecting Agent different from a generic AI SDR tool? Native placement inside Salesforce, a verified data layer through GTM.AI, cited reasoning on every recommendation, and consistent governance across every agent surface. Most AI SDR tools run on whatever data the customer brings. The Prospecting Agent ships with verified ZoomInfo data underneath.
What results have early customers reported? Perk reports that the Prospecting Agent generated 60% of its outbound pipeline in the first two weeks of use.
How does GTM.AI handle governance for the Agentforce integration? GTM.AI's platform layer applies access control, permissioning, data lineage, AI policy, and audit logging consistently across every surface that consumes it. Agentforce, the Prospecting Agent, every other GTM.AI integration, and any future agent the customer builds inherit the same governance posture.
Why does verified data matter for an AI sales agent? B2B contact data decays at roughly 70% per year. An AI sales agent running on stale data produces thousands of incorrect outreaches a day, erodes brand trust at machine scale, and trains reps to ignore the agent's output. Verified, continuously refreshed data through the GTM Context Graph is the difference between an agent that produces pipeline and one that produces noise.
Is the Salesforce Agentforce Prospecting Agent available now? Yes. The Prospecting Agent is generally available to Salesforce customers running Agentforce, with GTM.AI wired in as the GTM Context Layer by default.
Availability
The Salesforce Agentforce Prospecting Agent is generally available today to Salesforce customers running Agentforce, with ZoomInfo's GTM.AI wired in as the GTM Context Layer.
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 Studio, IBM watsonx Orchestrate, Outreach AI, Claude, ChatGPT, and dozens more.
Learn more at zoominfo.com and gtm.ai.
Media contact: Public Relations Team ZoomInfo PR@zoominfo.com