Google AI and Google Ads Integration

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Generate ad copy with Google AI, then automatically launch campaigns in Google Ads. Latenode’s visual editor and affordable pay-by-execution pricing make it easier than ever to optimize ad spend with AI-powered insights.

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Google AI

Google Ads

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Google Ads

Create a New Scenario to Connect Google AI and Google Ads

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 Google Ads will be your first step. To do this, click "Choose an app," find Google AI or Google Ads, 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.

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Run node once

Add the Google Ads Node

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

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Authenticate Google Ads

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

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Configure the Google AI and Google Ads 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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Select an action *

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Run node once

Set Up the Google AI and Google Ads 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, Google Ads, 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 Google Ads integration works as expected. Depending on your setup, data should flow between Google AI and Google Ads (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 Google Ads

Google Ads + Google AI + Google Sheets: This flow analyzes Google Ads campaign performance using Google AI to identify key insights. These insights, along with campaign data, are then logged into a Google Sheet for easy reporting and tracking of ad performance improvements.

Google Ads + Google AI + Slack: When a Google Ads campaign achieves a specific success metric, a summary of the campaign's performance is generated using Google AI. This AI-generated summary is then posted to a dedicated Slack channel for the team's awareness and review.

Google AI and Google Ads 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.

About Google Ads

Use Google Ads in Latenode to automate campaign management and reporting. Pull ad performance data, adjust bids based on real-time events, or trigger alerts for budget changes. Combine with other apps to build custom marketing workflows. Latenode's flexibility avoids rigid, pre-built integrations and costly per-step pricing.

See how Latenode works

FAQ Google AI and Google Ads

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

To connect your Google AI account to Google Ads 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 Google Ads accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically create ad copy using AI?

Yes, you can! Latenode allows prompt-based ad copy generation. Benefit from automatically updated ads based on real-time data and AI-driven insights. Improve ad performance effortlessly.

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

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

  • Generate ad headlines based on trending keywords automatically.
  • Analyze customer sentiment from ad feedback and adjust campaigns.
  • Optimize ad targeting using AI-driven demographic insights.
  • Create personalized ad experiences with dynamic content.
  • Automate A/B testing of ad copy using AI-generated variations.

How can Google AI enhance Google Ads performance on Latenode?

Google AI improves ad relevance and targeting. Latenode automates this process, optimizing your campaigns with AI-powered insights for better ROI.

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

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

  • The number of API calls to Google AI and Google Ads is subject to their respective usage limits.
  • Complex AI models may require significant processing time, affecting workflow speed.
  • Real-time data analysis depends on the accuracy and availability of data sources.

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