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

Google Vertex AI
âš™
Realgeeks
Authenticate Realgeeks
Now, click the Realgeeks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Realgeeks settings. Authentication allows you to use Realgeeks through Latenode.
Configure the Google Vertex AI and Realgeeks 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 Realgeeks 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
âš™
AI Anthropic Claude 3
âš™
Realgeeks
Trigger on Webhook
âš™
Google Vertex AI
âš™
âš™
Iterator
âš™
Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, Realgeeks, 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 Realgeeks integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Realgeeks (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 Realgeeks
Realgeeks + Google Vertex AI + Google Sheets: When a new lead is created in Realgeeks, analyze the lead's information using Google Vertex AI to determine the potential value of the lead. Log the lead's details and the AI analysis results in a Google Sheet to identify top listings.
Realgeeks + Google Vertex AI + Slack: Upon receiving a new lead in Realgeeks, use Google Vertex AI to summarize the lead's information. Post this summary to a dedicated Slack channel for agents to quickly assess new opportunities.
Google Vertex AI and Realgeeks 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 Realgeeks
Automate real estate lead management with Realgeeks in Latenode. Update your CRM, trigger follow-up emails, or send SMS alerts automatically when new leads are captured. Latenode’s visual editor and flexible nodes let you filter, enrich, and route lead data based on custom criteria, creating scalable workflows without complex coding.
Similar apps
Related categories
See how Latenode works
FAQ Google Vertex AI and Realgeeks
How can I connect my Google Vertex AI account to Realgeeks using Latenode?
To connect your Google Vertex AI account to Realgeeks 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 Realgeeks accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze real estate leads with AI?
Yes, you can! Latenode allows you to analyze Realgeeks leads using Google Vertex AI's natural language processing for enhanced lead scoring and personalized follow-ups, improving conversion rates.
What types of tasks can I perform by integrating Google Vertex AI with Realgeeks?
Integrating Google Vertex AI with Realgeeks allows you to perform various tasks, including:
- Automatically generate property descriptions using AI.
- Score leads based on AI-driven sentiment analysis.
- Personalize email campaigns using AI insights.
- Analyze market trends using real estate data.
- Create AI-powered chatbots for lead engagement.
How do I use custom models in Google Vertex AI via Latenode?
Latenode lets you integrate custom Google Vertex AI models using the code block, enabling personalized AI workflows tailored to Realgeeks data.
Are there any limitations to the Google Vertex AI and Realgeeks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require custom JavaScript code.
- Large-scale data processing can be subject to Google Vertex AI API rate limits.
- Realgeeks API feature availability impacts integration capabilities.