ZoomInfo, a leading all-in-one AI go-to-market (GTM) platform, has announced a native integration with Amazon Quick Suite, AWS’s advanced agentic AI workspace. The partnership makes it possible for revenue operations to utilize the deep search abilities and workflows provided by ZoomInfo, through the use of natural language processing inside the Quick ecosystem. The combination enables the AI agents to get access to an authenticated data graph which comprises of 100 million organizations and 500 million professionals and includes intent signals.
Bridging the Gap Between AI Access and Verified Context
The integration is powered by GTM.AI, ZoomInfo’s headless GTM context layer. Operating via Application Programming Interfaces (APIs) and the Model Context Protocol (MCP), GTM.AI delivers ZoomInfo’s structured data framework and automation capabilities into third-party environments.
The system connects to Amazon Quick Suite through a specialized MCP server. This structural layer allows revenue operations leaders, marketers, account executives, and sales representatives to initiate complex multi-step data tasks inside the Quick interface, eliminating the need for fragmented workflows across multiple browser tabs and manual spreadsheet exports.
While many current artificial intelligence tools can establish basic data connections or access raw databases, few provide continuous data validation and contextual relationship modeling. Unstructured data often leads to operational errors when deployed via automated agents.
By contrast, the combination of Amazon Quick Suite and GTM.AI pairs AWS’s advanced logical reasoning and workspace orchestration with ZoomInfo’s continuously refreshed, cross-referenced B2B database. This ensures that autonomous agents operate with the factual accuracy necessary to manage live sales pipelines safely.
Natural Language Execution of Go-to-Market Skills
As part of a recent demonstration, an example of how this integration could be used in practice was shown: a customer asked Quick to prepare a list of 50 marketing professionals in Los Angeles who have an active interest in marketing campaigns. This task required providing a full set of information about the individuals, including names, titles, emails, phone numbers, start date at their companies, and social networks. Amazon Quick Suite sent the request to the ZoomInfo MCP server.
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The integration natively supports a wide array of ZoomInfo capability modules via natural language commands, including:
- Account Research and Competitor Analysis
- Buying Committee Identification
- Data Enrichment for Contacts and Companies
- Meeting Preparation and Recommended Contacts
- Account and Lead Scoring
- Total Addressable Market (TAM) Sizing
- Firmographic Tech Stack Snapshots
Each skill executes inside the workspace, utilizing verified real-time datasets rather than predictive algorithm guesswork.
Unified Governance and Data Integrity Across the GTM Stack
Amazon Quick Suite expands ZoomInfo’s existing footprint of GTM.AI integrations, which currently includes Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Gong, LeanData, Glean, Anthropic’s Claude, OpenAI’s ChatGPT, and Google Workspace. By anchoring these endpoints to a centralized GTM Context Graph via a standardized MCP interface, enterprise teams maintain a single source of truth across all operational applications.
ZoomInfo license access and data governance rules are still linked with the particular ZoomInfo license permissions for each enterprise. GTM.AI ensures consistent and uniform data governance, data lineage, AI utilization policy, and compliance auditing across all interconnected ecosystems. The ecosystem is in compliance with the strict corporate compliance frameworks like ISO 27701, ISO 27001, SOC 2 Type II, and GDPR frameworks certified by TRUSTe.
According to industry benchmarks, more than 68 percent of B2B contacts decay each year. This can lead to potential error amplification through high-speed automation agents if not controlled. Our integration solves this problem by providing verified live data in the environment where AI agents work.
