How to connect Google Vertex AI and HighLevel
Create a New Scenario to Connect Google Vertex AI and HighLevel
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 HighLevel will be your first step. To do this, click "Choose an app," find Google Vertex AI or HighLevel, 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 HighLevel Node
Next, click the plus (+) icon on the Google Vertex AI node, select HighLevel from the list of available apps, and choose the action you need from the list of nodes within HighLevel.

Google Vertex AI
⚙
HighLevel
Authenticate HighLevel
Now, click the HighLevel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your HighLevel settings. Authentication allows you to use HighLevel through Latenode.
Configure the Google Vertex AI and HighLevel 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 HighLevel 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
⚙
AI Anthropic Claude 3
⚙
HighLevel
Trigger on Webhook
⚙
Google Vertex AI
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, HighLevel, 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 HighLevel integration works as expected. Depending on your setup, data should flow between Google Vertex AI and HighLevel (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 HighLevel
HighLevel + Google Vertex AI + Google Sheets: When a new message is received in HighLevel, analyze its sentiment using Google Vertex AI. Log the message and its sentiment score in a Google Sheet for review.
HighLevel + Google Vertex AI + Slack: When a new lead is created in HighLevel, summarize the lead's information using Google Vertex AI. Send a digest with the key information to a designated Slack channel.
Google Vertex AI and HighLevel 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.
Similar apps
Related categories
About HighLevel
Use HighLevel with Latenode to automate marketing and sales tasks. Sync leads, trigger follow-ups, and manage campaigns within visual workflows. Connect HighLevel to other apps, enrich data with AI, and scale operations without complex coding. Latenode offers flexible automation at a predictable cost.
Similar apps
Related categories
See how Latenode works
FAQ Google Vertex AI and HighLevel
How can I connect my Google Vertex AI account to HighLevel using Latenode?
To connect your Google Vertex AI account to HighLevel 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 HighLevel accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update HighLevel contacts based on Vertex AI analysis?
Yes, easily! Latenode's visual editor allows you to create automated workflows. Enrich HighLevel contact data with AI insights, improving targeting and personalization.
What types of tasks can I perform by integrating Google Vertex AI with HighLevel?
Integrating Google Vertex AI with HighLevel allows you to perform various tasks, including:
- Generate personalized marketing copy using Vertex AI for HighLevel campaigns.
- Automatically tag HighLevel leads based on sentiment analysis from Vertex AI.
- Create AI-powered chatbots in HighLevel using Vertex AI's conversational AI.
- Enrich HighLevel contact profiles with AI-driven insights from Vertex AI models.
- Analyze customer feedback in HighLevel using Vertex AI for trend identification.
How does Latenode enhance Google Vertex AI data processing capabilities?
Latenode lets you visually orchestrate complex Vertex AI workflows, adding custom JavaScript logic and handling data transformations at scale.
Are there any limitations to the Google Vertex AI and HighLevel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Vertex AI and HighLevel API rate limits.
- Custom AI models require appropriate setup and training within Google Vertex AI.
- Complex workflows with extensive data processing may require a higher Latenode plan.