Realgeeks and Google Vertex AI Integration

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Enrich Realgeeks leads with AI insights using Google Vertex AI for smarter property recommendations. Latenode's visual editor and affordable execution pricing make AI-powered real estate automation accessible and scalable.

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Realgeeks

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Realgeeks and Google Vertex AI

Create a New Scenario to Connect Realgeeks and Google Vertex AI

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

Add the Realgeeks Node

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

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Configure the Realgeeks

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

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Add the Google Vertex AI Node

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

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Authenticate Google Vertex AI

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

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Configure the Realgeeks and Google Vertex AI 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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Run node once

Set Up the Realgeeks and Google Vertex AI 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 Realgeeks, Google Vertex AI, 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 Realgeeks and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Realgeeks and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Realgeeks and Google Vertex AI

Realgeeks + Google Vertex AI + Slack: When a new lead is created in Realgeeks, their property preferences are analyzed using Google Vertex AI. Based on the analysis, a Slack message is sent to the appropriate agent, notifying them of a promising lead match.

Realgeeks + Google Vertex AI + Google Sheets: When a lead is created in Realgeeks, their information is sent to Google Vertex AI to generate a description. The generated description and lead details are then added as a new row in a Google Sheet for tracking and analysis.

Realgeeks and Google Vertex AI integration alternatives

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.

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.

See how Latenode works

FAQ Realgeeks and Google Vertex AI

How can I connect my Realgeeks account to Google Vertex AI using Latenode?

To connect your Realgeeks account to Google Vertex AI on Latenode, follow these steps:

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

Can I analyze Realgeeks lead data using Google Vertex AI?

Yes, you can! Latenode allows you to send Realgeeks data to Google Vertex AI for analysis, generating insights and improving lead qualification with AI-powered workflows.

What types of tasks can I perform by integrating Realgeeks with Google Vertex AI?

Integrating Realgeeks with Google Vertex AI allows you to perform various tasks, including:

  • Automatically enrich lead data from Realgeeks with AI insights.
  • Generate personalized follow-up messages using lead details.
  • Score leads based on their likelihood to convert.
  • Identify high-potential properties for specific clients.
  • Summarize lengthy property descriptions for quick analysis.

How do I trigger workflows based on new Realgeeks leads?

You can use Realgeeks' webhooks in Latenode to instantly trigger workflows when a new lead is added, enabling real-time AI processing.

Are there any limitations to the Realgeeks and Google Vertex AI integration on Latenode?

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

  • Large data transfers to Google Vertex AI may incur costs.
  • The complexity of AI models affects processing time.
  • Rate limits apply to both Realgeeks and Google Vertex AI APIs.

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