The thing that decides whether an AI agent helps your sales team or quietly wastes their week isn't the model. It's the data the model is allowed to call. A frontier model reasoning over a stale contact list will write you a beautifully worded email to someone who left the company eight months ago, and it will do it in seconds, at scale, with total confidence.
That's the problem we set out to fix, and today it gets one more answer: ZoomInfo is now available natively inside Amazon Quick Suite. Your go-to-market teams can run ZoomInfo's verified B2B intelligence (100 million companies, 500 million contacts, billions of buying signals) directly inside Quick, in plain language, across web, desktop, and mobile.
What's actually launching
Amazon Quick Suite is AWS's agentic AI workspace: a place where people ask for work in natural language and the system goes and does it, whether that's research, analysis, or multi-step automation, across the apps a company already runs. ZoomInfo now sits inside it as a connected go-to-market app.
In practice, that means a seller, SDR, AE, RevOps lead, or marketer can open Quick and ask ZoomInfo to do the thing they'd normally do across four tabs and a CSV export. In our launch demo, I asked Quick to "use ZoomInfo and build me a list of 50 marketing leaders based in LA, flag anyone showing signals around marketing initiatives, and include name, title, email, direct dial, mobile, job start date, and LinkedIn." Quick talked to ZoomInfo's MCP server, ran the search, and handed back a downloadable list, names, numbers, recent job moves and all, without me leaving the workspace.
The list isn't the point. The point is the question. You describe the buyer you want in the words you'd use to a colleague, and the work happens against verified data.
"An agent with access" vs "an agent with verified context"
This is the distinction that matters, and it's the one most teams skip when they wire AI into go-to-market.
Plenty of tools can give an agent access: a connection, an API key, a pile of records to read. Far fewer give it verified context, meaning data that's been collected, cross-checked, and refreshed, structured so that a company resolves to its contacts, its contacts resolve to their signals, and a job change last week actually shows up. The first kind of agent is fast and often wrong. The second kind is the one that you can let touch a real pipeline.
Amazon Quick Suite is the surface, the place where the work happens. ZoomInfo is the verified context underneath it. Quick brings the reasoning and the workflow; ZoomInfo brings the data that the reasoning has to be grounded in. You need both, and until today, you couldn't get them in the same window.
Why stale data is worse in an agentic workflow
Here's the part that should keep go-to-market leaders up at night. By widely cited industry estimates, roughly 70 percent of contact data goes stale every year: people change jobs, companies fold, numbers get reassigned. That decay was always a tax on productivity. In an agentic workflow, it's something worse.
When a human works off a bad list, they catch the obvious errors: the contact who clearly isn't there anymore, the title that doesn't make sense. An agent doesn't pause. It acts on what it's given, and it acts at machine speed and machine scale. Bad data in, bad outcomes out, ten thousand times before anyone notices. The faster your AI, the more expensive your data quality problem becomes.
That's why we built ZoomInfo's verification on proprietary collection technology, machine learning, public signal processing, and a contributory network, and it's why Forrester named ZoomInfo a Leader in intent data providers, citing the largest R&D investment of any provider. Enterprise compliance is built in across ISO 27701, ISO 27001, SOC 2 Type II, and TRUSTe GDPR, because grounding an agent in good data shouldn't mean loosening your grip on governance.
The real shift: the ceiling on agentic GTM is data, not the model
Most of the conversation about AI in sales is about the model: which assistant is smartest, which one writes the best email. I think that's the wrong thing to argue about. Frontier models are already excellent at reasoning. The ceiling on agentic go-to-market isn't how clever the model is. It's the quality, freshness, and structure of the data that the model can reach.
This is why ZoomInfo built GTM AI, our headless GTM context layer, the API and Model Context Protocol home that lets any connected agent ground its work in the same verified intelligence. It's already live inside Claude, ChatGPT, Microsoft Copilot, Salesforce Agentforce, and HubSpot Breeze. Amazon Quick Suite is the latest surface to plug into the same source of truth. Same data, same GTM Context Graph, whichever window the work happens in.
How to put ZoomInfo to work in Amazon Quick
Setup is deliberately short. It's built for go-to-market operators, not just engineers.
1. Add the ZoomInfo app in Amazon Quick Suite
Connect ZoomInfo through the Amazon Quick Suite custom MCP server and authenticate with your existing ZoomInfo credentials. No new pipeline to build, no data to migrate.
2. Ask for the work in plain language
Describe the buyer, the account, or the task the way you'd brief a teammate. "Build me a buying committee for this account." "Prep me for this discovery call." "Score these leads." Quick routes it to ZoomInfo.
3. Run the GTM skills that fit the job
ZoomInfo's skills are available natively: Account Research, Buying Committee, Enrich Company, Enrich Contact, Meeting Prep, Recommended Contacts, Score Accounts, Score Leads, TAM Sizer, Tech Stack Snapshot, and Competitor Analysis. Each one runs against verified data, not the model's best guess.
4. Move the output where it needs to go
The result comes back ready to use, whether that's a list you can download as a CSV, an enriched record, or a committee map, so it flows straight into the campaign, sequence, or CRM you were already working in.
Where ZoomInfo fits
ZoomInfo is the verified data foundation under your go-to-market AI, wherever that AI runs. Inside Amazon Quick Suite, that means your teams stop stitching together exports and start asking direct questions of real data.
If your stack already runs on AWS, this sits alongside the rest of ZoomInfo's AWS integrations: the same verified intelligence, now inside the agentic workspace your teams are moving into. Developers who want to build their own skills against the data can find the full MCP and API documentation at docs.zoominfo.com.
The shift worth making
The teams pulling ahead in this next phase of go-to-market aren't the ones with the most AI tools. They're the ones whose AI is grounded in the cleanest, most verified data, wired into the workflows they already run. You don't need a new process. You need a better-grounded version of the one you have.
ZoomInfo inside Amazon Quick Suite is one more place to get that. Customer or not, you can connect ZoomInfo in Amazon Quick Suite and start building today, or book a demo to see it run against your own market.
FAQs
What is the ZoomInfo Amazon Quick Suite integration?
It makes ZoomInfo's verified B2B intelligence (100 million companies, 500 million contacts, and billions of buying signals) available natively inside Amazon Quick Suite, AWS's agentic AI workspace. Go-to-market teams can run ZoomInfo searches and skills in plain language without leaving Quick.
How do I connect ZoomInfo to Amazon Quick Suite?
Add the ZoomInfo app in Amazon Quick Suite through its custom MCP server connector and authenticate with your ZoomInfo username and password. Once connected, any user can run ZoomInfo searches and skills directly in Quick.
What can ZoomInfo do inside Amazon Quick?
You can run go-to-market skills 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, each grounded in verified ZoomInfo data and triggered in natural language.
Do I need to be a ZoomInfo customer to use it?
You authenticate with ZoomInfo credentials, and the data your team can access is governed by your existing ZoomInfo entitlements and permissions. Teams that aren't yet customers can sign up and connect to start building.
What powers the integration?
It runs on GTM.AI, ZoomInfo's headless GTM context layer, the API and Model Context Protocol home that grounds AI agents in verified data. The same layer powers ZoomInfo inside Claude, ChatGPT, Microsoft Copilot, Salesforce Agentforce, and HubSpot Breeze.
