LiveChat and Google AI Integration

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Automatically analyze LiveChat conversations using Google AI for sentiment and intent, then trigger actions—all visually designed in Latenode, scaling affordably as your chat volume grows.

Swap Apps

LiveChat

Google AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect LiveChat and Google AI

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

Add the LiveChat Node

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

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Configure the LiveChat

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

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Run node once

Add the Google AI Node

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

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Authenticate Google AI

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

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

Most powerful ways to connect LiveChat and Google AI

LiveChat + Google AI + Slack: When a chat is deactivated in LiveChat, the conversation is summarized using Google AI's Gemini model. The summary is then sent to a designated Slack channel for quick review by support staff.

LiveChat + Google AI + Zendesk: When a new chat is initiated in LiveChat, the conversation is analyzed using Google AI's Gemini model to determine its category. Based on the category, a new ticket is automatically created in Zendesk.

LiveChat and Google AI integration alternatives

About LiveChat

Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context – all visually, and without code.

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.

See how Latenode works

FAQ LiveChat and Google AI

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

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

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

Can I automatically summarize LiveChat conversations using Google AI?

Yes, you can! Latenode allows you to trigger Google AI summarization after each chat. This saves time and provides instant insights, all with custom logic and zero code.

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

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

  • Automatically detect customer sentiment in LiveChat conversations.
  • Generate automated responses to common customer questions.
  • Tag and categorize conversations based on topic using AI.
  • Translate LiveChat messages into different languages in real time.
  • Create summaries of long conversations for reporting purposes.

How do I handle LiveChat data formatting within Latenode workflows?

Latenode’s data transformation tools let you easily reformat LiveChat data for use in Google AI, ensuring smooth processing and accurate results.

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

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

  • Google AI's processing limits are dependent on your Google AI subscription.
  • Very large LiveChat transcripts may exceed Google AI's input token limits.
  • Real-time translation accuracy depends on the language pair and AI model.

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