# Introduction to GTM AI

> Give your agents the full account story. Connect customer history and external changes with Context Agents, through the tools you already use.

**Date:** 2025-01-15  
**Source:** https://gtm.ai/blog/introduction-to-gtm-ai

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The CRM says proposal. The last call contains an unresolved security objection, and a new security leader has joined the account. Your next step changes when you connect those facts.

GTM AI gives your agents the account story. It connects ZoomInfo company and contact data, buying signals, and your connected CRM and conversations. Context Agents use that information to research accounts and answer questions about your relationships.

## What the graph connects

Unified company profiles, corporate hierarchy, and current employment give the records a common reference. CRM stage and status are normalized and mapped from Conversation Intelligence. Buying signals add external changes. CRM history and conversations explain what your team has discussed with the account, including requirements and agreed next steps.

For the proposal example, the useful connection is between the account, the security objection, and the new reviewer. A review with that person takes priority over a signature check.

> **Connected sources**
>
> CRM and conversation context require sources connected to your ZoomInfo tenant. Results respect your access permissions. See [Account Research](/docs/mcp/tools/account-research) for details.

## Build with Context Agents

Use [Account Research](/docs/mcp/tools/account-research) for a briefing that combines company data with available CRM and conversation history. For a question about what a buyer said or agreed to, use [Conversation Intelligence](/docs/mcp/tools/conversation-intelligence). Follow its citations to the source.

[Contact Research](/docs/mcp/tools/contact-research) focuses on a person and the relationship history available for them. [Update GTM Context](/docs/mcp/tools/update-gtm-context) saves details about your offering and target customer so future research can use that information.

## Choose your starting point

- Connect an AI client through [MCP](/docs/mcp) to use Context Agents and data tools.
- Use the [CLI](/docs/cli) to query data from your terminal and pipe results into scripts.
- Build an application with the [ZoomInfo API](https://docs.zoominfo.com/reference/api-overview).
- Install a [skill](/marketplace?category=Skill) for a repeatable job, then adapt the instructions to your workflow.

Each interface has its own documented operations and setup requirements. [Start Building](/start-building) helps you choose the connection for your tools.