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.
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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.
Creates a new file search store.
Creates a new scenario.
Creates a new scenario folder.
Creates a new team.
Creates or updates a connection in a custom app.
Creates or updates a custom IML function in a custom app.
Creates a custom app.
Creates or updates a module in a custom app.
Creates or updates a webhook in a custom app.
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
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.
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.
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.
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.
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.
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.
Automatically generate high-quality text content, translations, or code across multiple workflows without manual intervention.
Transform raw data from any connected app into structured insights, summaries, or reports using Gemini's natural language understanding.
Instantly translate and localize content across different platforms and channels in real-time as data flows through your scenarios.
Generate personalized responses, emails, or support messages automatically based on customer data from your connected applications.
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Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.






