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

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

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

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Authenticate LinkedIn Personal Account
Now, click the LinkedIn Personal Account node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LinkedIn Personal Account settings. Authentication allows you to use LinkedIn Personal Account through Latenode.
Configure the Google AI and LinkedIn Personal Account 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 AI and LinkedIn Personal Account 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 Google AI, LinkedIn Personal Account, 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 AI and LinkedIn Personal Account integration works as expected. Depending on your setup, data should flow between Google AI and LinkedIn Personal Account (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google AI and LinkedIn Personal Account
LinkedIn Personal Account + Google AI + Slack: Whenever a new message is posted anywhere on LinkedIn, Google AI summarizes the message content using the Gemini model and then posts the summary to a specified Slack channel.
LinkedIn Personal Account + Google AI + Gmail: When a new message arrives on LinkedIn, use Google AI to draft a personalized connection request via Gemini based on the message content and the sender's profile and then send it via Gmail.
Google AI and LinkedIn Personal Account integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About LinkedIn Personal Account
Automate LinkedIn tasks in Latenode to streamline lead generation or job searching. Extract profile data, send connection requests, or post updates without manual effort. Combine it with other apps to enrich leads or trigger follow-ups. Visually design custom workflows; scale tasks without code or per-step fees.
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See how Latenode works
FAQ Google AI and LinkedIn Personal Account
How can I connect my Google AI account to LinkedIn Personal Account using Latenode?
To connect your Google AI account to LinkedIn Personal Account on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and LinkedIn Personal Account accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate personalized LinkedIn posts with AI?
Yes, you can! Use Google AI to create tailored content for LinkedIn, automating your personal branding via Latenode's visual editor. Save time and boost engagement effortlessly.
What types of tasks can I perform by integrating Google AI with LinkedIn Personal Account?
Integrating Google AI with LinkedIn Personal Account allows you to perform various tasks, including:
- Automatically generating personalized connection requests.
- Creating AI-driven summaries of articles for sharing.
- Scheduling posts with AI-optimized content.
- Analyzing LinkedIn engagement using AI sentiment analysis.
- Building lead generation workflows from profile data.
How easily can I scale my Google AI Latenode automations?
Latenode’s architecture allows you to scale your Google AI automations to handle large volumes of data without code, ensuring reliable performance.
Are there any limitations to the Google AI and LinkedIn Personal Account integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn Personal Account may affect workflow speed.
- Google AI's content generation quality depends on the prompt design.
- Advanced AI models require higher compute which may impact workflow execution time.