Connect Confluence and Google Gemini AI integrations
Transform your Confluence documentation into intelligent, AI-powered knowledge with automated workflows that connect Confluence and Google Gemini AI through Make. Automatically generate content summaries, enrich your pages with AI insights, and automate information processing the moment pages are created or updated—eliminating manual work while delivering enhanced documentation exactly when your team needs it.
Triggers when a blog post is created or updated.
Triggers when a page is created or updated.
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.
Generate vector representations (embeddings) for the text or file you provide.
Generate high-quality, stereo audio from text prompts or from images.
Generates an audio file based on text input and settings.
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 text responses from prompts without requiring an account or connection.
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 Confluence and Google Gemini AI integrations.
Connect Google Gemini AI and Confluence through Make's automation platform to create dynamic workflows where Google Gemini AI acts as the trigger and Confluence performs the actions. When specific events occur in Google Gemini AI—such as new pages being created or existing pages being updated—these triggers automatically activate Confluence to perform actions like generating content summaries from your Google Gemini AI pages, enriching your documentation with AI-powered insights, or creating structured responses based on the content from your Google Gemini AI queries. This integration eliminates manual data transfer and ensures your team has access to AI-enhanced information exactly when they need it, enabling you to automate content creation, improve knowledge management, and simplify information processing.
Creates a new blog post in the space specified by the space ID.
Creates a page in the space.
Creates a new file search store.
Removes a blog post by its ID.
Deletes a page by ID.
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.
Popular Confluence and Google Gemini AI workflows.
Looking to get more out of Confluence and Google Gemini AI? With Make you can visually integrate Confluence 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 Confluence and Google Gemini AI in 5 easy steps
Understand why you're creating a connection
A connection between your apps and Make is like building a secure bridge that lets them communicate automatically. Think of it as giving Make permission to access your Confluence or Google Gemini AI account so it can perform tasks on your behalf. Once this bridge is built, Make can send information back and forth between these apps without you having to manually copy and paste data. This is what makes automation possible and saves you time on repetitive tasks.
Get your Confluence authorization set up
Start by visiting the Atlassian Developer Console where you'll manage how Make connects to your Confluence account. You can either use an existing app or create a new one specifically for Make—this app acts as the doorway between the two platforms. In the Authorization section, you'll need to enter a callback URI, which is simply the web address that tells Confluence where to send confirmation once you've approved the connection. Make will provide this address during the setup process.
Copy your Confluence connection credentials
In your Confluence app settings, you'll find two important pieces of information: a Client ID and a Client Secret. Think of these like a username and password that Make will use to securely access your Confluence account. Copy both of these values carefully and keep them handy—you'll need to paste them into Make in just a moment. These credentials ensure that only Make (and not just anyone) can access your Confluence data.
Set up Google Gemini AI access
For Google Gemini AI, you'll need to create a project in Google Cloud Platform and then visit Google AI Studio. This is the control center where you'll generate an API key—a special password that allows Make to use Gemini AI's features. Click 'Get API key' and then 'Create API key' in your project. Once generated, copy this key immediately and store it safely. This key is what Make will use to authenticate and access Gemini AI on your behalf.
Connect everything in Make
Log in to Make and add a module for either Confluence or Google Gemini AI to your workflow. Click 'Create a connection' and give it a descriptive name like 'Confluence Work Account' so you can easily identify it later. Paste the credentials you copied earlier—the Client ID and Client Secret for Confluence, or the API Key for Gemini AI—into the corresponding fields. Click Save, confirm any permissions if asked, and your connection is ready to use in your automated workflows.
Automate documentation with Confluence and Google Gemini AI integration
Connect Confluence and Google Gemini AI to automate content creation, improve knowledge bases, and simplify documentation workflows with intelligent AI-powered summaries and multilingual support.
Automatically generate, summarize, and populate Confluence pages with AI-powered content using Gemini's language capabilities, reducing manual documentation time.
Leverage Gemini AI to analyze existing Confluence content and automatically create summaries, translations, or reformatted versions for different audiences.
Automatically update Confluence documentation by using Gemini to refine, expand, or modernize outdated content based on new information or triggers.
Transform meeting transcripts or notes into structured, well-formatted Confluence pages with summaries, action items, and key takeaways generated by Gemini.
FAQ
By connecting Confluence and Google Gemini AI through Make, you can automate content creation and enhancement for your team workspace. For example, you can use Gemini AI to automatically generate documentation summaries, translate Confluence pages into multiple languages for global teams, create structured content from meeting notes, or even draft technical documentation from code snippets. This integration saves countless hours of manual writing while maintaining consistency across your knowledge base, allowing your team to focus on strategic work rather than repetitive documentation tasks.
Make enables powerful automation scenarios between Confluence and Google Gemini AI without coding. You can create workflows that automatically generate meeting summaries from Confluence page content, translate documentation into multiple languages for international teams, create FAQ sections by having Gemini AI analyze existing pages, generate code examples or explanations for technical documentation, or even create structured templates by processing unformatted notes. Make's visual workflow builder lets you set up triggers, add conditions, and connect multiple steps to create sophisticated automations tailored to your team's specific needs.
Not at all! Make is designed for users without programming knowledge. The platform provides a visual, drag-and-drop interface where you can connect Confluence and Google Gemini AI in minutes. Simply select Confluence as your trigger (for example, when a new page is created), add Google Gemini AI as an action (to process or enhance that content), and configure what you want to happen. Make offers pre-built modules for both applications with clear field descriptions, and you can test each step as you build. Plus, Make provides templates and documentation to help you get started immediately, making automation accessible to everyone on your team.
Building a custom integration would require significant development resources, ongoing maintenance, API expertise for both Confluence and Google Gemini AI, server infrastructure, and weeks or months of development time. With Make, you can create the same integration in minutes without writing a single line of code. Make handles all API connections, authentication, error handling, and updates automatically. You also get additional benefits like workflow scheduling, error notifications, execution history, and the ability to easily modify or expand your automations. Make's free tier lets you start immediately and test your use cases before committing, making it the most cost-effective and time-efficient solution for connecting these powerful tools.
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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