OpenAI has made ZoomInfo's verified intelligence (100M companies, 500M contacts, billions of buying signals) natively available inside OpenAI Codex for Work as a set of go-to-market skills, powered by GTM.AI, ZoomInfo's headless GTM context layer.
OpenAI today announced the native availability of ZoomInfo inside OpenAI Codex for Work, bringing verified B2B data and go-to-market intelligence to Codex users as a B2B data and go-to-market intelligence app. OpenAI selected ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, to bring verified go-to-market data into Codex, where teams can add ZoomInfo and run a set of named skills in natural language, including Account Research, Buying Committee, Enrich Company, Enrich Contact, Meeting Prep, Recommended Contacts, Score Accounts, Score Leads, TAM Sizer, Tech Stack Snapshot, and Competitor Analysis. The app is powered by GTM.AI, ZoomInfo's headless GTM context layer, which exposes ZoomInfo's GTM Context Graph and agentic orchestration through API and Model Context Protocol (MCP). This is built for go-to-market operators, not just developers. A seller or RevOps user can ask Codex to find target accounts with buying signals, build a contact list of decision makers, or research a company and surface outreach hooks, all grounded in verified data on 100M companies, 500M contacts, and billions of buying signals.
Key takeaways
OpenAI has made ZoomInfo natively available in OpenAI Codex for Work as a B2B data and go-to-market intelligence app, powered by GTM.AI as the GTM Context Layer.
Go-to-market teams run ZoomInfo skills in Codex with natural language: Account Research, Buying Committee, Enrich Company, Enrich Contact, Meeting Prep, Recommended Contacts, Score Accounts, Score Leads, TAM Sizer, Tech Stack Snapshot, and Competitor Analysis.
The integration is built for GTM operators (sellers, SDRs, AEs, RevOps, and marketing), not only engineers. The work happens inside Codex, grounded in verified data.
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.
What is OpenAI Codex for Work?
OpenAI Codex for Work is the enterprise offering of OpenAI Codex, OpenAI's agentic platform for getting work done. Teams add apps and run skills inside Codex, then drive them with natural language instead of menus and exports. Codex for Work brings that model to organizations with the admin and access controls an enterprise expects.
By making ZoomInfo natively available, OpenAI extends Codex beyond engineering tasks to the go-to-market motion. Once a team adds ZoomInfo, any user can run ZoomInfo's skills the same way they would ask a colleague: describe the account, the contact, or the territory, and get a verified answer back. The quality of that answer is bounded by the data behind it, which is where GTM.AI comes in.
What is the ZoomInfo app for OpenAI Codex for Work?
The ZoomInfo app for OpenAI Codex for Work is a B2B data and go-to-market intelligence app that runs ZoomInfo skills inside Codex. It brings verified company intelligence, contacts, and go-to-market signals into the place where Codex users already work. The app ships with a set of named skills a go-to-market operator can run on demand:
Account Research. Produce a full intelligence brief on an account.
Buying Committee. Map the buying committee at a target account.
Competitor Analysis. Produce a fact-led competitive intelligence summary.
Enrich Company. Look up a company's full profile and firmographics.
Enrich Contact. Look up a person's full professional profile.
Meeting Prep. Prepare for an upcoming meeting with an account or contact.
Recommended Contacts. Get AI-powered contact recommendations for an account.
Score Accounts. Score and rank a list of accounts.
Score Leads. Score and prioritize leads or cold contacts.
TAM Sizer. Size the total addressable market for a segment.
Tech Stack Snapshot. Produce a technology-stack snapshot for a company.
Each skill runs on ZoomInfo's verified data rather than on a model's best guess about a company or a contact.
How does the ZoomInfo and OpenAI Codex for Work integration work?
A go-to-market team adds the ZoomInfo app to Codex and authenticates with their ZoomInfo entitlement. From that point, any Codex user can run ZoomInfo skills in natural language. The app is powered by GTM.AI, which exposes ZoomInfo's GTM Context Graph and agentic orchestration through API and Model Context Protocol (MCP), so the data a Codex user reads is the same data a ZoomInfo user sees in the platform: continuously refreshed, identity-resolved, and queryable in real time.
The work reads like a request to a teammate. A user can ask Codex to "find target accounts in this industry and region with buying signals, then rank the best prospects," to "build a contact list for decision makers at these accounts with titles and company context," or to "research a company in ZoomInfo and identify likely outreach hooks." Codex runs the matching ZoomInfo skill and returns a verified answer, with no separate export, no list upload, and no switching tools.
What is GTM.AI, and why is it the GTM Context Layer for the ZoomInfo app in Codex?
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, so any agent, platform, or workflow can plug in. The ZoomInfo app in Codex is one of dozens of completed integrations on GTM.AI, alongside Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Claude, ChatGPT, and Google Agent Developer Kit.
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 a skill read from the graph, act on it, and return a structured answer. 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. The ZoomInfo skills in Codex inherit the same governance posture as ZoomInfo itself.
Why does the data layer matter for go-to-market teams?
About 70% of B2B contact data decays every year. A go-to-market operator who runs an AI prospecting task on stale data does not get one wrong record. They build the wrong account list, prep for the wrong meeting, and score the wrong leads, then act on all of it at speed. Verified, continuously refreshed data through the GTM Context Graph is the difference between a Codex skill that produces pipeline and one that produces confident noise.
That is the real constraint on agentic go-to-market work. The model is good at drafting a list or a brief. Whether the list is correct depends on the data underneath it. GTM.AI removes that constraint by making ZoomInfo's verified intelligence the data every ZoomInfo skill in Codex runs on, with provenance and freshness attached to every record it returns.
How is the ZoomInfo app for Codex different from generic AI prospecting?
Three dimensions of difference matter:
Verified data, not model guesses. Every ZoomInfo skill runs on the GTM Context Graph, which is identity-resolved and continuously refreshed. A generic AI assistant answers a prospecting question from whatever it can infer, which is how wrong contacts and dead accounts enter a pipeline.
Operator skills, not just chat. The ZoomInfo app ships named skills for the real go-to-market motion: research, buying committees, enrichment, meeting prep, scoring, TAM sizing, and tech stack snapshots. A seller runs the skill, not a prompt-engineering project.
Platform governance through GTM.AI. Access control, permissioning, data lineage, AI policy, and audit logging apply across every surface that consumes GTM.AI. A team maintains one governance posture across ZoomInfo, Codex, and the rest of its GTM stack.
What does this mean for sellers, RevOps, and marketing teams?
Prospecting and research where the work already happens. Sellers and SDRs find target accounts, build decision-maker contact lists, and surface outreach hooks inside Codex, on verified data.
Scoring and prioritization on demand. RevOps runs Score Accounts and Score Leads against verified firmographics and buying signals, rather than against a stale CRM field.
Planning grounded in real numbers. Marketing and RevOps size a TAM and pull a tech-stack snapshot from the GTM Context Graph, not from a spreadsheet that is months out of date.
One context layer across the AI stack. Teams running the ZoomInfo app in Codex alongside Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, or ChatGPT get the same verified GTM context everywhere, through GTM.AI.
FAQ: ZoomInfo in OpenAI Codex for Work, go-to-market skills, and GTM.AI
What did OpenAI announce? OpenAI announced the native availability of ZoomInfo inside OpenAI Codex for Work. Go-to-market teams can add the ZoomInfo app and run ZoomInfo skills in natural language, powered by GTM.AI.
What is OpenAI Codex for Work? OpenAI Codex for Work is the enterprise offering of OpenAI Codex, OpenAI's agentic platform for work. Teams add apps and run skills inside Codex using natural language, with enterprise admin and access controls.
What is the ZoomInfo app for OpenAI Codex for Work? The ZoomInfo app is a B2B data and go-to-market intelligence app that runs ZoomInfo skills inside Codex. It brings verified company intelligence, contacts, and go-to-market signals into Codex, powered by GTM.AI.
What ZoomInfo skills are available in Codex? Account Research, Buying Committee, Competitor Analysis, Enrich Company, Enrich Contact, Meeting Prep, Recommended Contacts, Score Accounts, Score Leads, TAM Sizer, and Tech Stack Snapshot. Each runs on ZoomInfo's verified data through GTM.AI.
What can a go-to-market operator do with ZoomInfo in Codex? Find target accounts in an industry and region with buying signals and rank the best prospects, build a contact list of decision makers with titles and company context, research a company and identify likely outreach hooks, map a buying committee, prep for a meeting, score accounts and leads, size a TAM, and pull a tech-stack snapshot.
How do I add ZoomInfo to OpenAI Codex for Work? Add the ZoomInfo app to Codex and authenticate with your ZoomInfo entitlement. Once connected, any Codex user can run the ZoomInfo skills in natural language.
What is GTM.AI? GTM.AI is ZoomInfo's headless GTM context layer. It exposes ZoomInfo's verified data graph (100M companies, 500M contacts, and 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, Gong, LeanData, Glean, Claude, ChatGPT, and Google Workspace.
Who is the data provider for the ZoomInfo skills in Codex? ZoomInfo is the data provider, with GTM.AI serving as the GTM Context Layer behind the ZoomInfo app in Codex.
Does the ZoomInfo app for Codex use MCP? Yes. GTM.AI exposes ZoomInfo's data and orchestration through Model Context Protocol in addition to a standard API, which is how the ZoomInfo skills in Codex reach the GTM Context Graph.
Where does the data come from? ZoomInfo's GTM Context Graph. The same identity-resolved data, intent signals, and company and contact records used inside ZoomInfo. Continuously refreshed, continuously queryable.
How does GTM.AI handle governance for the ZoomInfo app in Codex? GTM.AI's platform layer applies access control, permissioning, data lineage, AI policy, and audit logging consistently across every surface that consumes it. That includes ZoomInfo itself, partner platforms, custom MCP connectors, and the ZoomInfo app in Codex. Customers maintain a single governance posture across their entire GTM stack.
Why does verified data matter for go-to-market work in Codex? B2B contact data decays at roughly 70% annually. A go-to-market operator who runs a skill on stale data builds the wrong list and scores the wrong accounts at speed. Verified, continuously refreshed data through the GTM Context Graph is the difference between a skill that produces pipeline and one that erodes trust.
Is ZoomInfo part of OpenAI? No. ZoomInfo is an independent B2B data and AI GTM platform. ZoomInfo and OpenAI are integration partners, with ZoomInfo available as an app inside OpenAI Codex for Work.
Is the ZoomInfo app for OpenAI Codex for Work available now? Yes. ZoomInfo is available as an app to mutual ZoomInfo and OpenAI Codex for Work customers.
Availability
ZoomInfo is available as an app inside OpenAI Codex for Work to mutual ZoomInfo and OpenAI customers. A team adds the ZoomInfo app to Codex and authenticates with its existing ZoomInfo entitlement, then runs the ZoomInfo skills in natural language.
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.
Media contact: Public Relations Team ZoomInfo PR@zoominfo.com