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Google Sheets
Gemini Enterprise Agent Platform

Connect Google Sheets and Google Vertex AI (Gemini) integrations

Explore ready-made Google Sheets and Gemini Enterprise Agent Platform templates and start automating in minutes.

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Create a custom workflow

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.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Google Sheets
Trigger: Perform a Function
Gemini Enterprise Agent Platform
Action: Select an action
1. Select a trigger

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

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

  • Triggers when a new row is added.

2. Select an action

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

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

  • Generates an answer to a question about an image you provide using a Gemini model.

  • Creates high quality images using Gemini image generation models with text prompts to guide the generation.

  • Generates a caption from an image you provide using a Gemini model.

  • Generates up to 4 videos from a text prompt or image using Google Veo. Supports up to 1080p resolution and 4-8 second clips.

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

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.

Add a Conditional Format Rule
Creates a new conditional format rule at the given index. All subsequent rules' indexes are incremented.
Action
Add a Row
Appends a new row to the bottom of the table.
Action
Add a Sheet
Adds a new sheet.
Action
Analyze Image/Video (Gemini) (Legacy)
Analyzes images and/or videos from the input parameters based on instructions specified in the prompt.
Action
Bulk Add Rows (Advanced)
Appends multiple rows to the bottom of the table.
Action
Bulk Update Rows (Advanced)
Updates multiple rows.
Action
Clear a Cell
Clears a specific cell.
Action
Clear a Row
Clears values from a specific row.
Action
Clear Values from a Range
Clears a specified range of values from a spreadsheet.
Action
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How to set up Google Sheets and Gemini Enterprise Agent Platform in 5 easy steps

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Step 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.

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Step 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.

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Step 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.

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Step 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.

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Step 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.

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.

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Automate AI-powered data analysis

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

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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.

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Enrich customer data with AI insights

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

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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.

Support

FAQs

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Integrating Google Sheets with Google Vertex AI (Gemini) through Make enables you to automatically process and analyze spreadsheet data using advanced AI capabilities. You can automatically generate insights from your data, create summaries, classify information, generate content based on spreadsheet inputs, or even process images and speech data stored in your sheets. This integration eliminates manual data transfer and allows you to leverage Google's powerful generative AI models directly within your existing spreadsheet workflows, saving time and opening new analytical possibilities.

You can create powerful automation scenarios such as: automatically generating product descriptions from spreadsheet data for e-commerce, analyzing customer feedback stored in sheets and categorizing sentiment, creating personalized email content based on customer information, generating code snippets from specifications listed in sheets, processing and analyzing images or speech data referenced in your spreadsheets, or automatically translating and summarizing large datasets. Make's visual interface allows you to build these workflows without coding, connecting triggers from Google Sheets to AI processing actions in Vertex AI.

No coding knowledge is required to integrate Google Sheets with Google Vertex AI through Make. Make provides a visual, drag-and-drop interface that allows you to build sophisticated automation workflows through point-and-click operations. You can set up triggers that monitor your Google Sheets for changes, define the AI tasks you want Vertex AI to perform, and specify how results should be handled—all without writing a single line of code. Make handles all the complex API connections and data formatting in the background, making advanced AI integration accessible to everyone.

Make provides enterprise-grade reliability for your integrations with built-in error handling, automatic retries, and execution logging. Unlike manual processes where data might be lost, forgotten, or incorrectly transferred, Make ensures every spreadsheet update or scheduled trigger is processed consistently. You can monitor all your automation executions, receive notifications if issues occur, and maintain a complete audit trail. Additionally, Make processes data in real-time or on your preferred schedule, ensuring your AI-powered insights are always current and eliminating the delays and human errors associated with manual data transfer between applications.