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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
Select a trigger...
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.

  • 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.

    FAQ

    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.

    A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

    Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

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