Integrations

Supercharge ZoomInfo with Relevance AI

ZoomInfo is a leading go-to-market intelligence platform providing comprehensive data on businesses and professionals.

Enhance your sales and marketing efforts with AI agents that leverage accurate contact data, intent signals, and real-time insights.

Give your AI Agents ZoomInfo Superpowers

ZoomInfo provides rich B2B data and intent signals for targeted outreach. Relevance AI transforms this intelligence into AI agents that can automatically qualify leads, personalize engagement, and drive sales outcomes.

Intelligent Lead Prioritization

The agent can assess and rank leads based on real-time data insights.

Dynamic Campaign Personalization

The agent tailors marketing messages to specific audience segments for better engagement.

Proactive Market Insights

The agent provides timely alerts on market changes and buyer intent signals.

Tools

Equip AI Agents with the ZoomInfo Tools they need

Relevance AI gives you access to ZoomInfo's comprehensive business intelligence tools within your AI agent workflows.

Security & Reliability

The integration leverages secure API authentication to safely access ZoomInfo's enterprise data. Relevance AI manages all API operations seamlessly in the background—handling authentication tokens, request formatting, and rate limits automatically.

Built-in data validation and response parsing ensure consistent results when searching companies, contacts, and enriching records.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the ZoomInfo + Relevance AI integration without writing code:
  • Use precise search criteria: Define specific parameters when searching for company and contact data.
  • Implement rate limiting: Space out API requests to stay within ZoomInfo's usage limits.
  • Validate data formats: Ensure input data matches ZoomInfo's required field formats.
  • Handle responses properly: Account for pagination when retrieving large datasets.
  • Monitor usage: Track API credits and implement error handling for failed requests.