ZoomInfo, Gong and Apollo each announced AI agent capabilities between September 30 and October 1, and ZoomInfo said its version needs no new SKU or contract. When agents arrive inside a plan the customer already holds, the buying question shifts from which vendor has the better agent to whose data the agent reads. Drimble, which builds its company data on official registers, has an answer ready: its site says every field ships with its register and its capture date.
What Each Vendor Announced, and What Is Live
Parts of each launch are live today and parts are on the way. The table separates the two and adds Drimble, whose connection to Claude and ChatGPT is live now.
| Vendor | Agent move | Live now | Staged |
| ZoomInfo | Sept. 30: announced the DoubleO.ai acquisition, terms undisclosed. Oct. 1: Agent Teams. | Agent Teams in GTM Studio, with no new SKU or contract required. | None stated. |
| Gong | Sept. 30: Mission Callisto, at its Celebrate ’26 event. | Gong Enrich and Deep Mode, generally available. | Automatically triggered Custom Agents and other Assistant enhancements, rolling out through 2026. |
| Apollo | Sept. 30: AI GTM system, at its ApolloNEXT event. | Intelligence Layer, including Intelligence Profile and GTM Harness. | Builder Studio and Messaging OS, “available soon.” |
| Drimble | MCP server that connects Claude, ChatGPT and any MCP client to Drimble’s company data. | MCP server, API, CSV export, CRM connectors for HubSpot, Pipedrive, Salesforce, Exact and AFAS, and an AI agent for account research. | Drimble Radar, which Drimble says goes live at the end of January 2027: users add companies to monitor and receive signals when something changes, such as an address, website, director, news item or job post. |
ZoomInfo’s Agent Teams, Apollo’s Intelligence Layer and Drimble’s MCP server are available now. Apollo lists Builder Studio and Messaging OS as available soon, and Gong’s automatically triggered agents roll out through 2026. Drimble says Radar, its company-monitoring feature, goes live at the end of January 2027.
Orchestration Moves Inside the Existing Contract
ZoomInfo announced its purchase of DoubleO.ai on September 30 without disclosing the price, then launched Agent Teams the next morning, “available now in GTM Studio, with no new SKU or contract required.” DoubleO.ai’s CEO, Derek Osgood, described the problem his company set out to solve in the acquisition release: agents “don’t run the same way twice,” so a person has to babysit every step. ZoomInfo bought that reliability work and shipped it inside an existing platform.
Usage is still metered, in different ways. ZoomInfo’s Agent Teams page says the product uses “consumption-based AI Credits, billed against your existing ZoomInfo contract,” and shows an estimate of the credits a play will use before a customer activates it. Apollo’s MCP documentation says “There’s no additional cost to connect to Apollo MCP,” but the customer’s plan, permissions and credits still apply. Gong says automatically triggered Custom Agents draw on Gong Credits, while manually triggered ones come with Gong Foundation. Drimble’s MCP page says access runs through the customer’s own key and Drimble plan, and its site lists a Business plan at €39 per month and API access from €149 per month, excluding VAT.
The implication is that orchestration is becoming a feature that rides on the data subscription instead of a product with its own price. ZoomInfo and Apollo also run MCP servers that connect their databases to Claude, ChatGPT and other assistants, so a customer can already point a general-purpose assistant at that data without a vendor-built agent in between. Drimble offers the same route to its register data.
The Meter Runs on Credits
Gong’s launch release says Enrich first uses the providers and credits a customer already holds, then fills the gaps with Gong Credits. The help center says Gong consumes a credit when a partner returns an email address or phone number and none when a partner finds nothing, though it still charges for an email that fails validation, because the partner did return data. The release names ten Enrich partners, including Apollo and ZoomInfo, and the customer’s admin sets the order for each data type. If the orchestrator can reorder suppliers that way, providers compete on hit rate and on how often their records survive validation, which works in the buyer’s favor.
ZoomInfo had already positioned itself for the supplier role. In early June it launched GTM.AI, which it calls a headless GTM context layer that exposes its data through MCP to dozens of surfaces, including Claude, ChatGPT, Salesforce Agentforce, HubSpot Breeze and Gong. Apollo’s own figures show where the usage lands: it reports that daily credit consumption rose nearly 10x from March to August 2026.
How the Four Vendors Compare on Data
The table sets the four vendors side by side on what the agent reads, how it connects and how use is billed.
| Vendor | What the agent reads | How it connects | How use is billed |
| ZoomInfo | GTM Context Graph, with a confidence score and lineage on every record, per ZoomInfo. | GTM.AI over MCP and API; Agent Teams in GTM Studio. | AI Credits against the existing ZoomInfo contract. |
| Gong | Ten partner data providers through Enrich, in an order the admin sets. | Custom Agents, Deep Mode and Enrich inside Gong. | Gong Credits; manually triggered Custom Agents come with Gong Foundation. |
| Apollo | Intelligence Layer, including Intelligence Profile and GTM Harness. | MCP server for Claude, ChatGPT and Perplexity. | Existing plan, permissions and credits; no extra cost to connect. |
| Drimble | Official company registers, with the register and capture date on every field. | MCP server for Claude, ChatGPT and any MCP client; API; CSV export; CRM connectors. | Drimble plan and its limits, with the customer’s own key. |
The rows differ most in what the agent reads. ZoomInfo says every record GTM.AI returns carries a confidence score and its lineage. Drimble’s source is a public register, so a team can check a field against the register itself, using the company number on the Business Profile. Drimble’s own FAQ describes the difference in those terms: it starts with official company registers and shows the named source and capture date. My take is that ZoomInfo gives an agent lineage to cite, and Drimble gives it a citation that points to a record anyone can open.
Where Traceable Data Pays Off
The plays these vendors describe start from a trigger. In ZoomInfo’s example, a champion changes companies, and agents check whether the new company is already a customer or fits the ideal customer profile, map the buying committee and reach out based on the champion’s history. The US Bureau of Labor Statistics reported that wage and salary workers in the United States had a median of 4.1 years with their current employer in January 2026, so half had been in their job 4.1 years or less. The figure covers all workers, not only buyers, but each job move is a trigger an agent can act on.
The play works best when the trigger carries a source and a date the team can check. Drimble covers the register-level version of this trigger: its homepage lists new registrations, director changes, relocations and hiring increases as company events it turns into a dated prospect list, and Radar, due at the end of January 2027, will let users add companies and monitor them for changes. Its signals guide calls appointments the strongest reason to restart a stalled deal.
The executives behind the DoubleO.ai deal frame the data as the asset. ZoomInfo CEO Henry Schuck said the company “has spent years building the GTM Context Graph that agents need,” and DoubleO.ai CTO Karthik Suresh said agents “can’t operate without deep, trusted context about every account, contact, and signal.” Trust becomes testable when each record shows where it came from and how old it is. None of the three launch releases publishes a data-accuracy figure, and ZoomInfo’s GTM Bench, in which it reports that GTM.AI led every pillar, is a vendor-run reference point. The test falls to the buyer, and it is a cheap one: run each vendor, Drimble included, on accounts the team already knows well and compare field-level accuracy, signal freshness and cost per run.
Where the European Union’s General Data Protection Regulation applies, accuracy is also a legal principle. Article 5 requires personal data to be “accurate and, where necessary, kept up to date,” and it makes the controller responsible for being able to demonstrate compliance. Drimble’s site says it publishes information that official registers already make public and does not scrape personal contact details such as private email addresses or mobile numbers. This suggests that a source and a date on each record give a team material to work with when it has to show how it kept data accurate.
How Drimble Brings Traceable Data to an Agent
Drimble’s homepage lets users search 340 million companies and 600 million contact persons. The company data comes from named official registers such as Companies House in the United Kingdom, SIRENE and INPI/RNE in France and CVR in Denmark, and each Business Profile shows the legal entity, its registered address, its officers and its group links.
Drimble says it covers 31 countries and counts legal entities and registered businesses that hold an identifier in a public register it ingests or queries, including sole traders and dormant entities, as last recounted in March 2026. Refresh follows each source register: daily for most, weekly for Ireland, Canada and Australia, and monthly for the Belgian extract. Company search and public Business Profiles are free without an account, and the full platform has a free trial that needs no credit card.
Drimble’s MCP server lets Claude, ChatGPT and any MCP client query that data directly instead of guessing. The page lists three uses: account research briefed with sourced company facts, list building that exports a target segment to a CRM, and data review that checks whether CRM records still match the register source. Each record links to a company identifier, a source and a capture date, so the assistant has something concrete to cite. The same fields also reach teams through an API, CSV export, CRM connectors, a Chrome extension and Ad Audiences, which push lists to Google, Meta, LinkedIn and ChatGPT Ads.
Drimble also publishes the operating rules for agents that use this data. Its guide to connecting company data to AI agents recommends several narrow tools instead of an open query interface, resolving each company’s identity before any enrichment, and returning the register, identifier and last-updated date with every response so the agent can cite them. It keeps CRM writes and outreach behind human confirmation until the agent has a track record. Guides on using Claude with company data and governance add a source column in every table, one scoped key per agent, cost ceilings with alerts and an audit log of every tool call. In my view these habits suit any vendor’s data, and Drimble gives teams a worked example to widen as an agent earns trust.
If orchestration keeps folding into existing contracts, signals suggest vendors will compete on what agents read and on what each run costs. Drimble’s approach, a named register and a capture date on every field, fits that shift, and buyers can start asking every vendor in this comparison for the same fields now.
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