How to connect RD Station and AI GPT Router
Create a New Scenario to Connect RD Station and AI GPT Router
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a RD Station, triggered by another scenario, or executed manually (for testing purposes). In most cases, RD Station or AI GPT Router will be your first step. To do this, click "Choose an app," find RD Station or AI GPT Router, and select the appropriate trigger to start the scenario.

Add the RD Station Node
Select the RD Station node from the app selection panel on the right.


RD Station

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


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Authenticate AI GPT Router
Now, click the AI GPT Router node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI GPT Router settings. Authentication allows you to use AI GPT Router through Latenode.
Configure the RD Station and AI GPT Router 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 RD Station and AI GPT Router 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 donβt 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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AI GPT Router
Trigger on Webhook
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Save and Activate the Scenario
After configuring RD Station, AI GPT Router, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the RD Station and AI GPT Router integration works as expected. Depending on your setup, data should flow between RD Station and AI GPT Router (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect RD Station and AI GPT Router
RD Station + AI GPT Router + Slack: When a new lead conversion occurs in RD Station, the lead data is sent to AI GPT Router to analyze the sentiment of the associated information. If the sentiment is positive, a message is sent to a specified Slack channel to alert the sales team for immediate follow-up.
RD Station + AI GPT Router + Google Sheets: Upon a new lead conversion in RD Station, the lead data is sent to AI GPT Router for summarization and insight extraction. The summarized data and insights are then added as a new row in Google Sheets for reporting and analysis.
RD Station and AI GPT Router integration alternatives

About RD Station
Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.
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About AI GPT Router
Use AI GPT Router in Latenode to intelligently route and process text. Automate content summarization, sentiment analysis, or language translation based on custom criteria. Chain AI tasks with no-code tools, APIs, and file parsing nodes. Scale complex AI workflows easily with prompt-driven logic and affordable, execution-based pricing.
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See how Latenode works
FAQ RD Station and AI GPT Router
How can I connect my RD Station account to AI GPT Router using Latenode?
To connect your RD Station account to AI GPT Router on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select RD Station and click on "Connect".
- Authenticate your RD Station and AI GPT Router accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically enrich RD Station leads with AI-generated insights?
Yes, you can! Latenode's visual editor makes it easy to trigger AI GPT Router from new RD Station leads, enriching data and personalizing follow-ups, boosting conversion rates.
What types of tasks can I perform by integrating RD Station with AI GPT Router?
Integrating RD Station with AI GPT Router allows you to perform various tasks, including:
- Automatically generate personalized email content for RD Station leads.
- Analyze lead interactions and classify them based on sentiment.
- Create summaries of lead data to streamline sales processes.
- Route leads to specific sales reps based on AI-powered qualification.
- Update lead information in RD Station with insights from AI models.
CanIuseAItoqualifyRDStationleadswithhighaccuracyinLatenode?
Yes! Latenode enables AI-driven lead qualification, improving sales efficiency through automated scoring and routing based on custom criteria.
Are there any limitations to the RD Station and AI GPT Router integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both RD Station and AI GPT Router APIs may affect high-volume workflows.
- Complex AI GPT Router prompts may require advanced configuration and testing.
- Real-time data processing depends on the responsiveness of both services.