Connect Google Sheets and Google Vertex AI (Gemini) integrations

Transform your Google Sheets data into powerful AI-driven insights by automatically triggering Google Vertex AI (Gemini) whenever your spreadsheets change. Make connects these platforms to instantly analyze, enrich, and generate intelligent responses from your data—no manual work required, just automation that turns spreadsheet updates into advanced machine learning actions.

Trigger
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Google Sheets

Receives data from the MAKE_FUNCTION or INTEGROMAT functions used in a sheet. Please note, the Sheets Add-On is required.

Google Sheets

Triggers when a cell is updated. Watches only changes made in Google Sheet app. Sheets Add-On required.

Google Sheets

Triggers when a new row is added.

Google Sheets
Google Vertex AI (Gemini)
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Action
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Google Vertex AI (Gemini)

Analyzes images and/or videos from the input parameters based on instructions specified in the prompt.

Google Vertex AI (Gemini)

Creates a chat prompt to a Gemini model based on the input parameters.

Google Vertex AI (Gemini)

Generates an answer for an image using Imagen.

Google Vertex AI (Gemini)

Creates high quality images using Imagen with text prompts to guide the generation.

Google Vertex AI (Gemini)

Generates a caption from an image you provide using Imagen.

Google Vertex AI (Gemini)

Generates a video from a text prompt.

Google Vertex AI (Gemini)

Performs an arbitrary authorized API call.

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Build your Google Sheets and Google Vertex AI (Gemini) integrations.

Connect Google Vertex AI (Gemini) and Google Sheets through Make's automation platform to build workflows where changes in your Google Vertex AI (Gemini) spreadsheets trigger Google Sheets's advanced machine learning capabilities. When specific events occur in Google Vertex AI (Gemini)—such as new rows being added or data being updated—Make automatically activates Google Sheets to analyze, generate, and process that data. This integration enables you to trigger AI operations based on spreadsheet changes, automatically enriching your data with AI-generated insights, performing sentiment analysis on customer feedback, or generating intelligent responses based on your existing spreadsheet information. Make's visual workflow builder allows you to design these trigger-action integrations where Google Vertex AI (Gemini) initiates the workflow and Google Sheets executes the AI-powered actions, eliminating manual tasks and transforming how your business handles data and artificial intelligence.

Google Sheets
Add a Conditional Format Rule

Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.

Action
Google Sheets
Add a Row

Appends a new row to the bottom of the table.

Action
Google Sheets
Add a Sheet

Adds a new sheet.

Action
Google Vertex AI (Gemini)
Analyze Image/Video (Gemini) (Legacy)

Analyzes images and/or videos from the input parameters based on instructions specified in the prompt.

Action
Google Sheets
Bulk Add Rows (Advanced)

Appends multiple rows to the bottom of the table.

Action
Google Sheets
Bulk Update Rows (Advanced)

Updates multiple rows.

Action
Google Sheets
Clear Values from a Range

Clears a specified range of values from a spreadsheet.

Action
Google Sheets
Clear a Cell

Clears a specific cell.

Action
Google Sheets
Clear a Row

Clears values from a specific row.

Action

Popular Google Sheets and Google Vertex AI (Gemini) workflows.

Looking to get more out of Google Sheets and Google Vertex AI (Gemini)? With Make you can visually integrate Google Sheets and Google Vertex AI (Gemini) into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.

How to setup Google Sheets and Google Vertex AI (Gemini) in 5 easy steps

  • 1

    Add your app module to your Make scenario

    Log in to your Make account and open the scenario where you want to work. Find the app you need—like Google Sheets or Google Vertex AI—and add its module to your scenario. You'll see a button to create a new connection, which you should click to start connecting your app.

  • 2

    Give your connection a descriptive name

    When the connection window opens, you can choose to name your connection something memorable. While optional, using a clear name like 'My Google Sheets Data' helps you recognize this connection later, especially when you have multiple connections to manage.

  • 3

    Sign in with your Google account credentials

    Click the 'Sign in with Google' button to begin authentication. A new window will open asking for your Google login information. Make sure to use the Google account that has access to the specific data or services you want Make to work with.

  • 4

    Review and grant the requested permissions

    After signing in, Google will display a list of permissions that Make needs to access your information. Read through these permissions carefully to understand what Make will be able to do, then click to approve them so Make can interact with your Google app.

  • 5

    Complete the connection and start automating

    After granting permissions, confirm your selections to finish setting up the connection. You should see a success message showing that Make can now communicate with your Google app. Your connection is ready to use, and you can now build automations between your connected applications.

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    Automate AI-powered workflows with Google Sheets and Google Vertex AI (Gemini)

    Connect Google Sheets with Google Vertex AI (Gemini) to automate data analysis, generate AI-powered content, enrich customer insights, and create intelligent reports without manual work.

    Automate AI-powered data analysis

    Automatically send spreadsheet data to Gemini for intelligent analysis, insights, and predictions without manual intervention.

    Generate content directly into spreadsheets

    Use Vertex AI's generative capabilities to create text, summaries, or translations and populate them directly into Google Sheets cells.

    Enrich customer data with AI insights

    Automatically analyze customer information stored in Google Sheets using Gemini to generate sentiment analysis, categorizations, or personalized recommendations.

    Scale document processing workflows

    Process large volumes of data from Google Sheets through Vertex AI models for tasks like text classification, entity extraction, or data validation at scale.

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