Connect Airtable and Google Gemini AI integrations

Transform your Airtable database updates into intelligent AI-powered actions with Google Gemini AI. Automatically trigger advanced content generation, smart analysis, and intelligent categorization the moment your records change—turning your data into actionable insights without manual effort.

Trigger
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Airtable

Returns all newly created or updated records in a view (requires "Created Time" or "Last Modified Time" fields).

Airtable

Triggers when a new response is submitted.

Airtable
Google Gemini AI
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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

Returns a list of file search stores.

Google Gemini AI

Returns a list of files from a selected file search store.

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Build your Airtable and Google Gemini AI integrations.

Google Gemini AI functions as a trigger by monitoring your databases for specific events such as new records, updated fields, or changes in your bases, automatically initiating workflows when these conditions are met. When Google Gemini AI detects these trigger events, Airtable acts as the action component, processing the data from your Google Gemini AI records through its advanced language models to generate AI content, analyze information, perform smart categorization, or create intelligent responses based on the database updates that triggered the workflow.

Airtable
Bulk Create Records (advanced)

Сreates multiple records.

Search
Airtable
Bulk Delete Records (advanced)

Deletes multiple records.

Action
Airtable
Bulk Update Records (advanced)

Updates multiple existing records.

Search
Airtable
Bulk Upsert Records (advanced)

Upserts multiple records.

Search
Airtable
Create a Record

Creates a new record in Airtable.

Action
Google Gemini AI
Create a file search store

Creates a new file search store.

Action
Airtable
Delete a Record

Deletes a record by its ID.

Action
Google Gemini AI
Delete a file in a file search store

Deletes a file from a selected files search store.

Action
Google Gemini AI
Delete a file search store

Deletes a file search store.

Action

Popular Airtable and Google Gemini AI workflows.

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

How to setup Airtable and Google Gemini AI in 5 easy steps

  • 1

    Add your apps to Make and start the connection

    Open your Make account and add the app module you want to connect to your automation scenario. Look for the connection field and click the 'Add' or 'Create a connection' button to begin. This tells Make that you're ready to link your external app so it can work within your automation workflow.

  • 2

    Choose how you want to connect Airtable

    Make offers two ways to connect Airtable: OAuth or Personal Access Token. OAuth lets you grant access directly through Airtable with just a few clicks, while Personal Access Token uses a special code you create in your Airtable account. Pick the option that feels most comfortable for you, as both work equally well.

  • 3

    Set up your Airtable connection

    If using OAuth, select it as your connection type, name your connection, and click through to grant access to your Airtable base. If using a token, go to your Airtable account, find the Developer hub in your profile menu, create a personal access token, and copy it. Back in Make, paste this token into the connection field and save to complete the link.

  • 4

    Get your Google Gemini AI access key

    To connect Google Gemini AI, you'll need an API key from Google AI Studio. Log in with your Google account, click 'Get API key', and create one linked to your Google Cloud project. Copy this key immediately and keep it safe, as you'll need to paste it into Make to establish the connection between the platforms.

  • 5

    Complete your Gemini AI connection in Make

    In Make, add the Google Gemini AI module and click to create a connection. Give your connection a descriptive name so you can recognize it later, then paste the API key you copied from Google AI Studio into the designated field. Click 'Save' to finalize the connection, and your Gemini AI integration is ready to use in your automations.

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    AI-powered automation: Airtable + Google Gemini AI integration benefits

    Discover how connecting Airtable and Google Gemini AI transforms your workflow with automated data enrichment, intelligent content generation, smart analysis, instant translation, and dynamic operations.

    Automated AI-powered data enrichment

    Automatically enrich your Airtable records with AI-generated content, summaries, or insights from Google Gemini without manual copying and pasting.

    Intelligent content generation at scale

    Generate customized text, descriptions, or creative content for multiple Airtable records simultaneously using Gemini's language capabilities.

    Smart data analysis and categorization

    Use Gemini AI to automatically analyze, categorize, and tag Airtable entries based on their content, improving organization and searchability.

    Instant translation and localization

    Translate Airtable content across multiple languages using Gemini AI, enabling global collaboration without leaving your workspace.

    FAQ

    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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