Connect Facebook Messenger and Google Gemini AI integrations
Transform your Facebook Messenger conversations with intelligent automation by connecting incoming messages directly to Google Gemini AI, which instantly analyzes and generates personalized, contextually relevant responses to customer inquiries. Optimize your messaging workflow and deliver real-time AI-powered interactions that keep your customers engaged while you focus on growing your business.
Triggers when a new message is received.
Creates a new file search store.
Deletes a file from a selected files search store.
Deletes a file search store.
Extracts structured data from text or files.
Generates an image.
Generates a response for the provided input.
Generates a video.
Returns detailed information about a file in a file search store.
Retrieves details about a file search store.
Performs an arbitrary authorized API call.
Generates a response based on a simple text prompt.
Uploads a file so it can be used in the completions or in file search stores.
Returns a list of file search stores.
Returns a list of files from a selected file search store.
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Build your Facebook Messenger and Google Gemini AI integrations.
Google Gemini AI functions as a trigger that initiates your automation workflow when specific events occur, such as receiving a new message or customer inquiry. When Google Gemini AI detects these trigger events, it activates Facebook Messenger as an action to generate intelligent, contextually relevant responses using advanced language capabilities. This integration enables automated workflows where incoming Google Gemini AI messages trigger Facebook Messenger to analyze the content and craft appropriate replies, allowing you to respond to customer inquiries with AI-generated responses in real-time. By using Google Gemini AI as the trigger and Facebook Messenger as the action, you can automate messaging tasks and deliver personalized interactions directly within Google Gemini AI conversations.
Creates a new file search store.
Deletes a file from a selected files search store.
Deletes a file search store.
Extracts structured data from text or files.
Generates a response for the provided input.
Generates a video.
Generates an image.
Retrieves the details of a sender by its PSID. Must first be approved for the Business Asset User Profile Access feature.
Returns detailed information about a file in a file search store.
Popular Facebook Messenger and Google Gemini AI workflows.
Looking to get more out of Facebook Messenger and Google Gemini AI? With Make you can visually integrate Facebook Messenger 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 Facebook Messenger and Google Gemini AI in 5 easy steps
Set up your Facebook app
Begin by creating a new app in the Facebook Developer Portal. Choose 'Other' as your use case, name your app, and add Messenger as a product. This app acts as the bridge that allows Make to communicate with Facebook Messenger on behalf of your Facebook page.
Create your automation scenario in Make
Open Make and create a new scenario, which is your automation blueprint. Add the 'Facebook Messenger > Watch Messages' module as your first step and create a webhook with a name and verify token. Make will generate a unique URL that you'll use to connect Facebook to your automation.
Link Facebook to Make with webhooks
Return to Facebook Developer Portal and paste the webhook URL from Make into the Callback URL field. Enter the same verify token you created in Make and click 'Verify and Save'. This connection allows Facebook to notify Make whenever someone sends a message to your page, triggering your automation in real-time.
Authorize your Facebook page
In the Facebook Developer Portal, connect the specific Facebook pages you want to use with your automation. Generate an access token for your chosen page and copy it. This token is what allows Make to send messages through your Facebook page on your behalf.
Complete the connection in Make
Back in your Make scenario, add a 'Send a Message' module and create a connection by pasting the access token from Facebook. Configure the module to map the sender information and specify your automated response message. Your automation is now ready to receive and respond to Facebook Messenger conversations.
AI-powered automation: Facebook Messenger meets Google Gemini AI
Integrate Facebook Messenger with Google Gemini AI to automate customer support, enable multilingual conversations, generate personalized content, and extract valuable insights from your messaging data.
Automatically respond to Facebook Messenger inquiries with intelligent, context-aware answers generated by Google Gemini AI, providing instant 24/7 customer support.
Enable real-time multilingual communication by automatically translating Facebook Messenger conversations using Gemini AI's advanced language capabilities.
Generate customized messages, product recommendations, or creative content through Messenger based on user interactions, powered by Gemini AI's natural language processing.
Automatically analyze and categorize incoming Messenger conversations using Gemini AI to route inquiries to the appropriate team or trigger specific workflows.
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