How to connect Google AI and Ontraport
Create a New Scenario to Connect Google AI and Ontraport
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 Google AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or Ontraport will be your first step. To do this, click "Choose an app," find Google AI or Ontraport, and select the appropriate trigger to start the scenario.

Add the Google AI Node
Select the Google AI node from the app selection panel on the right.

Google AI
Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Ontraport Node
Next, click the plus (+) icon on the Google AI node, select Ontraport from the list of available apps, and choose the action you need from the list of nodes within Ontraport.

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Ontraport

Authenticate Ontraport
Now, click the Ontraport node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ontraport settings. Authentication allows you to use Ontraport through Latenode.
Configure the Google AI and Ontraport Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google AI and Ontraport 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.

JavaScript
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AI Anthropic Claude 3
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Ontraport
Trigger on Webhook
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Google AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google AI, Ontraport, 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 Google AI and Ontraport integration works as expected. Depending on your setup, data should flow between Google AI and Ontraport (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google AI and Ontraport
Ontraport + Google AI + Slack: When a new form submission is received in Ontraport, the text is sent to Google AI's Gemini model for sentiment analysis. If the sentiment is negative, a message is sent to a Slack channel to alert the team.
Ontraport + Google AI + Google Sheets: When a new contact is created in Ontraport, their information is sent to Google AI's Gemini model for categorization. The categorization insights are then logged into a Google Sheets spreadsheet.
Google AI and Ontraport integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About Ontraport
Use Ontraport with Latenode to automate marketing and sales tasks. Sync contacts, trigger campaigns, and update customer data based on actions in other apps. Build complex workflows visually, adding custom logic with JavaScript or AI for personalized experiences. Scale marketing automation affordably, paying only for execution time.
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See how Latenode works
FAQ Google AI and Ontraport
How can I connect my Google AI account to Ontraport using Latenode?
To connect your Google AI account to Ontraport on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and Ontraport accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize Ontraport emails with AI-generated content?
Yes, using Latenode! Generate personalized email copy with Google AI and automatically update contact properties in Ontraport, saving time and improving engagement through intelligent automation.
What types of tasks can I perform by integrating Google AI with Ontraport?
Integrating Google AI with Ontraport allows you to perform various tasks, including:
- Automatically tag contacts based on sentiment analysis of their support requests.
- Generate personalized follow-up messages for new leads using AI content creation.
- Enrich contact profiles with data extracted from Google AI-powered data analysis.
- Update deal stages in Ontraport based on AI predictions of customer purchase probability.
- Create targeted segments using AI-driven insights from customer interaction data.
How secure is my Google AI data on Latenode?
Latenode employs robust security measures, including encryption and access controls, to protect your Google AI and Ontraport data during integration and workflow execution.
Are there any limitations to the Google AI and Ontraport integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google AI and Ontraport may affect workflow execution speed.
- Complex AI models might require more processing time, impacting real-time automation.
- Custom JavaScript code might be needed for advanced data transformations.