Connect Google Gemini AI and Make integrations

Transform Google Gemini AI insights into instant action across your entire workflow by connecting it with Make as your automation powerhouse. When Google Gemini AI detects patterns, generates responses, or processes data, Make automatically executes tasks across all your connected apps—optimizing content creation, data processing, and communications without manual intervention.

Action
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Google Gemini AI

Creates a new file search store.

Google Gemini AI

Deletes a file from a selected files search store.

Google Gemini AI

Deletes a file search store.

Google Gemini AI

Extracts structured data from text or files.

Google Gemini AI

Generates an image.

Google Gemini AI

Generates a response for the provided input.

Google Gemini AI

Generates a video.

Google Gemini AI

Returns detailed information about a file in a file search store.

Google Gemini AI

Retrieves details about a file search store.

Google Gemini AI

Performs an arbitrary authorized API call.

Google Gemini AI

Generates a response based on a simple text prompt.

Google Gemini AI

Uploads a file so it can be used in the completions or in file search stores.

Google Gemini AI
Make
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Action
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Make

Creates a new scenario.

Make

Creates a new scenario folder.

Make

Creates a new team.

Make

Creates or updates a connection in a custom app.

Make

Creates a custom app.

Make

Creates or updates a custom IML function in a custom app.

Make

Creates or updates a module in a custom app.

Make

Creates or updates an RPC in a custom app.

Make

Creates or updates a webhook in a custom app.

Make

Deletes a scenario.

Make

Deletes a scenario folder.

Make

Deletes a team.

Make

Deletes incomplete executions in a scenario.

Make

Retrieves a connection in a custom app.

Make

Retrieves a custom IML function in a custom app.

Make

Retrieves a module in a custom app.

Make

Retrieves an RPC in a custom app.

Make

Gets a specified scenario.

Make

Gets a specified scenario blueprint.

Make

Retrieves properties of a hook included in a specified scenario.

Make

Gets a specified team.

Make

Retrieves a webhook in a custom app.

Make

Retrieves incomplete execution detail.

Make

Invites a user to a specified organization.

Make

Performs an arbitrary authorized API call.

Make

Removes a user from a specified organization.

Make

Removes a user from a specified team.

Make

Retries incomplete executions in a scenario.

Make

Executes a scenario. The scenario can contain scenario inputs.

Make

Turns a scenario's scheduling on or off.

Make

Updates a base.

Make

Updates a custom variable in a team or in an organization.

Make

Updates an existing scenario.

Make

Updates an existing scenario folder.

Make

Updates a user's organization role.

Make

Updates a user's team role.

Make

Retrieve usage of an organization, a team, or a scenario, for up to the last 30 days.

Make

Lists custom app's groups.

Make

Lists connections in a custom app.

Make

Retrieves connections in a team.

Make

Lists custom IML functions in a custom app.

Make

Lists modules in a custom app.

Make

Lists RPCs in a custom app.

Make

Retrieves a list of scenario folders.

Make

Retrieves scenario incomplete executions.

Make

Retrieves a list of scenario logs.

Make

Retrieves a list of scenarios in a specified team/organization.

Make

Retrieves a list of teams in a specified organization.

Make

List webhooks in a custom app.

Make

Retrieves scenarios upon set conditions.

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Build your Google Gemini AI and Make integrations.

Connect Make as a trigger and Google Gemini AI as an action to automate workflows when specific events occur. When Make triggers based on processing information, generating responses, or analyzing data patterns, Google Gemini AI executes actions across your connected applications. You can create scenarios where Make's trigger events automatically initiate Google Gemini AI's actions to handle tasks such as processing datasets, generating content, or managing communications. Google Gemini AI's visual builder allows you to design automations where Make serves as the trigger point that activates Google Gemini AI to perform subsequent actions across your tools and systems.

Google Gemini AI
Create a file search store

Creates a new file search store.

Action
Make
Create a scenario

Creates a new scenario.

Action
Make
Create a scenario folder

Creates a new scenario folder.

Action
Make
Create a team

Creates a new team.

Action
Make
Create or update a connection

Creates or updates a connection in a custom app.

Action
Make
Create or update a custom IML function

Creates or updates a custom IML function in a custom app.

Action
Make
Create or update a custom app

Creates a custom app.

Action
Make
Create or update a module

Creates or updates a module in a custom app.

Action
Make
Create or update a webhook

Creates or updates a webhook in a custom app.

Action

Popular Google Gemini AI and Make workflows.

Looking to get more out of Google Gemini AI and Make? With Make you can visually integrate Google Gemini AI and Make 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 Gemini AI and Make in 5 easy steps

  • 1

    Set up your Google Cloud project

    To connect Google Gemini AI to Make, start by creating a project in Google Cloud Platform. Log in with your Google account, click 'Create or select a project,' then 'New project.' Give it a name, choose a location, and click 'Create' to finish setting up your workspace.

  • 2

    Get your API key from Google AI Studio

    Once your project is ready, visit Google AI Studio to get your connection key. Click 'Get API key,' then 'Create API key,' and select your Google Cloud project from the list. Copy the generated key and save it in a safe place, as you'll need it to complete the connection in Make.

  • 3

    Connect Google Gemini AI in Make

    Log in to Make and add a Google Gemini AI module to your automation. Click 'Create a connection' when prompted, then paste the API key you copied from Google AI Studio into the 'API Key' field. You can also give your connection a memorable name to help identify it later, then click 'Save' to complete the setup.

  • 4

    Choose your Make connection method

    When connecting Make to itself, you can choose between two methods: OAuth2 or API key. OAuth2 is more straightforward and handles authorization automatically, while the API key method gives you more direct control. Select the option that works best for your automation needs.

  • 5

    Complete your Make connection

    Add a Make module to your scenario and click 'Create a connection.' Enter your Make environment URL (like 'https://eu1.make.com') to specify which server to connect to. If using an API key, paste it in the designated field. Click 'Save' to finalize your connection, and if using OAuth2, confirm access when prompted.

  • Get started free

    Activate AI-powered automation with Google Gemini AI and Make

    Integrate Google Gemini AI with Make to automate content generation, intelligent data processing, and multi-language communication across your workflows, eliminating manual tasks while improving productivity.

    Automated content generation at scale

    Automatically generate high-quality text content, translations, or code across multiple workflows without manual intervention.

    Intelligent data processing and analysis

    Transform raw data from any connected app into structured insights, summaries, or reports using Gemini's natural language understanding.

    Dynamic multi-language communication

    Instantly translate and localize content across different platforms and channels in real-time as data flows through your scenarios.

    Improved customer interactions

    Generate personalized responses, emails, or support messages automatically based on customer data from your connected applications.

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    How it works

    Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.

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