Apollo and AI Agent Integration

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AI agent that builds your workflows for you

Hundreds of apps to connect

Automate lead enrichment: Use AI Agent to analyze Apollo contact data, identify key insights, and update profiles, all visually orchestrated in Latenode. Benefit from no-code flexibility and affordable execution-based pricing to scale lead intelligence.

Swap Apps

Apollo

AI Agent

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Apollo and AI Agent

Create a New Scenario to Connect Apollo and AI Agent

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Apollo, triggered by another scenario, or executed manually (for testing purposes). In most cases, Apollo or AI Agent will be your first step. To do this, click "Choose an app," find Apollo or AI Agent, and select the appropriate trigger to start the scenario.

Add the Apollo Node

Select the Apollo node from the app selection panel on the right.

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Apollo

Configure the Apollo

Click on the Apollo node to configure it. You can modify the Apollo URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Apollo

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Run node once

Add the AI Agent Node

Next, click the plus (+) icon on the Apollo node, select AI Agent from the list of available apps, and choose the action you need from the list of nodes within AI Agent.

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Authenticate AI Agent

Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.

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Sign In

Run node once

Configure the Apollo and AI Agent Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Apollo and AI Agent Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Apollo, AI Agent, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Apollo and AI Agent integration works as expected. Depending on your setup, data should flow between Apollo and AI Agent (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Apollo and AI Agent

Apollo + AI Agent + Salesforce: When a new contact is created in Apollo, AI Agent analyzes the contact's information. Based on the AI analysis, the lead is created or updated in Salesforce, ensuring data accuracy and completeness.

Apollo + AI Agent + Gmail: When a contact is updated in Apollo, AI Agent summarizes a sales call and then sends the highlights and next steps to the client via Gmail.

Apollo and AI Agent integration alternatives

About Apollo

Need precise location data? Integrate Apollo into Latenode workflows to automatically geocode addresses or enrich customer profiles with location insights. Automate data validation and routing based on geographic parameters. Use Latenode's visual editor to build scalable location-aware processes without complex coding.

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

See how Latenode works

FAQ Apollo and AI Agent

How can I connect my Apollo account to AI Agent using Latenode?

To connect your Apollo account to AI Agent on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Apollo and click on "Connect".
  • Authenticate your Apollo and AI Agent accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically enrich Apollo leads with AI insights?

Yes, you can! Latenode lets you use AI Agent to analyze Apollo contact data, adding enriched profiles automatically. Improve targeting with AI-driven lead scoring.

What types of tasks can I perform by integrating Apollo with AI Agent?

Integrating Apollo with AI Agent allows you to perform various tasks, including:

  • Automatically summarize Apollo contact details using AI for quick reviews.
  • Generate personalized outreach messages based on Apollo lead data.
  • Qualify leads in Apollo using AI-driven scoring models.
  • Analyze Apollo data to identify high-potential prospects with AI.
  • Create reports in Apollo based on sentiment analysis from AI Agent.

How does Latenode help manage Apollo API request limits?

Latenode offers advanced throttling and queue management to prevent exceeding Apollo API limits. Optimize your automation workflows effectively.

Are there any limitations to the Apollo and AI Agent integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data processing might impact workflow execution time.
  • AI Agent's capabilities depend on the available data quality in Apollo.
  • Complex AI models might require advanced Latenode plan features.

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