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

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

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

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Authenticate LeadMagic
Now, click the LeadMagic node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LeadMagic settings. Authentication allows you to use LeadMagic through Latenode.
Configure the Google Vertex AI and LeadMagic 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 Vertex AI and LeadMagic 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, LeadMagic, 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 Vertex AI and LeadMagic integration works as expected. Depending on your setup, data should flow between Google Vertex AI and LeadMagic (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and LeadMagic
LeadMagic + Google Vertex AI + Google Sheets: When a new profile is found in LeadMagic, analyze the lead data using Vertex AI to predict conversion probability. The analysis results, including the probability score, are then logged in a Google Sheet.
LeadMagic + Google Vertex AI + Slack: When a new profile is found in LeadMagic, use Vertex AI to generate a personalized follow-up message based on the lead's profile data. Then, send a notification to a designated Slack channel to alert the sales team with the generated message and the lead profile details.
Google Vertex AI and LeadMagic integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About LeadMagic
Use LeadMagic inside Latenode to automate lead generation and outreach. Qualify leads, enrich data, and trigger personalized follow-ups based on behavior. Latenode’s visual editor makes it easy to build complex workflows, scale your outreach, and connect to other tools without code.
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See how Latenode works
FAQ Google Vertex AI and LeadMagic
How can I connect my Google Vertex AI account to LeadMagic using Latenode?
To connect your Google Vertex AI account to LeadMagic on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and LeadMagic accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically enrich new leads with AI data?
Yes, you can! Latenode lets you automate lead enrichment using Vertex AI’s analysis within LeadMagic. Seamlessly boost lead quality and scoring through AI-powered data augmentation.
What types of tasks can I perform by integrating Google Vertex AI with LeadMagic?
Integrating Google Vertex AI with LeadMagic allows you to perform various tasks, including:
- Qualifying leads based on AI-driven sentiment analysis of interactions.
- Generating personalized outreach messages using AI content generation.
- Analyzing lead data to identify high-potential customer segments.
- Predicting lead conversion probabilities using machine learning models.
- Automatically updating lead information using AI data enrichment services.
Can I use custom models from Google Vertex AI in my Latenode workflows?
Yes, Latenode allows you to use custom models from Google Vertex AI. This gives you greater flexibility and accuracy in your automated lead management workflows.
Are there any limitations to the Google Vertex AI and LeadMagic integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data volumes in Vertex AI may impact processing time.
- Complex custom models require appropriate Vertex AI resource allocation.
- Real-time LeadMagic updates depend on API rate limits of both services.