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Google Gemini AI
Confluence

Connect Google Gemini AI and Confluence integrations

Explore ready-made Google Gemini AI and Confluence templates and start automating in minutes.

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Create a custom workflow

Transform AI insights into polished Confluence documentation automatically by connecting Google Gemini AI and Confluence through Make's no-code platform. Build powerful workflows that turn AI-generated content into structured knowledge base articles, eliminating repetitive documentation tasks while empowering your team to maintain consistent, accurate documentation without technical expertise.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Google Gemini AI
Trigger: Watch events
Confluence
Action: Select an action
1. Select a trigger

  • Triggers when a long running task has finished.

2. Select an action

  • Creates a new blog post in the space specified by the space ID.

  • Creates a page in the space.

  • Removes a blog post by its ID.

  • Deletes a page by ID.

  • Generates Mention Content Blocks in the ADF format.

  • Generates Table in the ADF format.

  • Returns a specific blog post.

  • Returns a specific page.

  • Injects Content Blocks into a Template based on the provided Instructions (in the ADF format).

  • Dynamically updates a specific Content Block JSON (in the ADF format) with values from the provided context.

  • Performs an arbitrary authorized API call.

  • Updates a blog post by its ID.

  • Updates a page by ID.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Transform AI insights into structured documentation by connecting Confluence and Google Gemini AI through Make's intuitive automation platform. With Make, you can integrate Confluence as a trigger with Google Gemini AI as an action, enabling you to automatically generate documentation, create knowledge base articles, and improve team collaboration. Design custom integration scenarios where Confluence initiates workflows that automatically publish AI-generated content to your Google Gemini AI spaces, transforming AI insights into structured Google Gemini AI pages. The platform's no-code interface empowers teams to build automation workflows that use Confluence triggers to create and update Google Gemini AI documentation without requiring technical expertise, saving countless hours of repetitive work while improving accuracy and consistency across your documentation processes.

Create a Blog Post
Creates a new blog post in the space specified by the space ID.
Action
Create a file search store
Creates a new file search store.
Action
Create a Page
Creates a page in the space.
Action
Delete a Blog Post
Removes a blog post by its ID.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Delete a Page
Deletes a page by ID.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
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How to set up Google Gemini AI and Confluence in 5 easy steps

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Step 1

Set up your app in the Atlassian Developer Console

Log into the Atlassian developer site and access the Developer Console from your profile menu. Select your existing Confluence app or create a new one, then navigate to the Authorization section and enter the callback URL: https://www.integromat.com/oauth/cb/confluence. This establishes the foundation for connecting Confluence to Make.

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Step 2

Collect your Confluence credentials

In your Confluence app's Settings section, locate and copy two important pieces of information: your Client ID and Client Secret. These credentials act like a username and password that allow Make to securely access your Confluence account. Store them safely as you'll need both to complete the connection.

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Step 3

Create a Google Cloud project and get your API key

For Google Gemini AI, start by creating a new project in Google Cloud Platform. Then, log into Google AI Studio, click 'Get API key,' and create an API key linked to your Google Cloud project. Copy this key and keep it secure, as it's what Make will use to communicate with Google Gemini AI.

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Step 4

Add your app module in Make

Log into your Make account and add the Confluence or Google Gemini AI module to your automation workflow. Click the 'Create a connection' button when prompted. You can give your connection a descriptive name to help you remember which account or service it's linked to, especially if you have multiple connections.

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Step 5

Complete the connection with your credentials

In the connection setup form, enter the credentials you collected earlier. For Confluence, input your Client ID and Client Secret; for Google Gemini AI, enter your API key. Click 'Save' to finalize the connection and confirm access if prompted. Your apps are now connected and ready to automate tasks together.

Automate documentation with Google Gemini AI and Confluence integration

Connect Google Gemini AI with Confluence to automate content creation, improve documentation, and manage multilingual knowledge bases efficiently using intelligent AI-powered workflows.

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Automated content creation

Automatically generate high-quality documentation, meeting summaries, and knowledge base articles using Gemini AI and publish them directly to Confluence spaces.

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Intelligent content enhancement

Improve existing Confluence pages by using Gemini AI to expand, refine, or translate content without manual copying and pasting.

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Smart documentation updates

Trigger Gemini AI to analyze and update Confluence documentation based on changes in connected systems, keeping knowledge bases current and accurate.

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AI-powered content summarization

Automatically generate executive summaries or key takeaways from lengthy Confluence pages using Gemini AI and post them for quick team reference.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

By integrating Google Gemini AI with Confluence through Make, you can automate content creation and enhancement workflows. For example, you can automatically generate documentation drafts, summaries of meeting notes, or technical specifications using Gemini AI and publish them directly to your Confluence workspace. This integration allows your team to spend less time on repetitive writing tasks and more time on strategic work, while ensuring your knowledge base stays up-to-date and comprehensive.

Make enables numerous powerful automation scenarios between Google Gemini AI and Confluence. You can automatically generate FAQ sections from existing documentation, translate Confluence pages into multiple languages for global teams, create executive summaries of lengthy documents, generate onboarding materials from company policies, or have Gemini AI analyze and suggest improvements to existing content. You can also set up workflows where new Confluence pages trigger AI-powered content enhancements, or where AI-generated content is automatically formatted and published to specific Confluence spaces based on your team's needs.

No coding skills are required to integrate Google Gemini AI with Confluence on Make. Make provides a visual, drag-and-drop interface that allows you to create sophisticated automation workflows without writing a single line of code. You simply connect your Google Gemini AI and Confluence accounts, select the triggers and actions you want, and configure the data flow between them. Make's intuitive platform makes it accessible for anyone, regardless of technical background, to build powerful integrations that improve documentation workflows and enhance team collaboration.

Make implements enterprise-grade security measures to protect your data during integrations between Google Gemini AI and Confluence. All data transfers are encrypted, and Make uses secure OAuth authentication to connect with both applications, ensuring your credentials are never exposed. Additionally, Make offers error handling, automatic retries, and detailed execution logs so you can monitor your workflows and ensure reliable operation. Your Confluence content and AI-generated materials remain secure throughout the automation process, giving you peace of mind while you scale your documentation and knowledge management efforts.