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Perplexity AI
Google Gemini AI

Connect Perplexity AI and Google Gemini AI integrations

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

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Create a custom workflow

Transform research into action by connecting Perplexity AI and Google Gemini AI in an intelligent workflow that automatically converts insights into analysis, content, and decisions. Eliminate manual data transfers and build automated workflows where Perplexity AI's research capabilities instantly fuel Google Gemini AI's conversational intelligence, creating a powerhouse of continuous, intelligent productivity.

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
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when a long running task has finished.

2. Select an action

  • Creates a chat completions with the chosen model.

  • Generate a response for the provided input with optional web search and reasoning.

  • Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.

  • Generate vector representations (embeddings) for the text you provide.

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Google Gemini AI serves as a trigger that initiates automated workflows when research insights or queries are generated, while Perplexity AI functions as the action that receives this data for content generation, analysis, or decision-making processes. When Google Gemini AI triggers the workflow with new research information, Perplexity AI automatically executes predefined actions such as processing the insights, generating responses, or performing analytical tasks based on the incoming data. This trigger-action integration eliminates manual data transfer between the two AI tools, allowing research outputs from Google Gemini AI to automatically feed into Perplexity AI's conversational intelligence capabilities for intelligent automation.

Create a chat completion
Creates a chat completions with the chosen model.
Action
Create a file search store
Creates a new file search store.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
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
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
Generate a video
Generates a video using the general purpose Gemini model family.
Action
Generate a video (Veo) (deprecated)
Generates a video using the Veo models.
Action
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How to set up Perplexity AI and Google Gemini AI in 5 easy steps

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Step 1

Understand how connections work in Make

Before automating tasks between apps on Make, you need to create connections that allow these services to communicate. Think of a connection as a secure bridge that lets Make access your accounts in other applications, like Google Gemini AI or Perplexity AI, so they can work together automatically. This is a one-time setup that involves getting special access codes called API keys from each service and entering them into Make. Once established, your apps can share information and trigger actions automatically without you manually copying data between them.

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Step 2

Set up your Google Cloud project for Gemini AI

To connect Google Gemini AI, start by creating a project in Google Cloud Platform. Log in with your Google account, click to create a new project, give it a name, and click create. This project is like a workspace where your connection will live. After creating your project, make sure it's selected in the dropdown menu at the top of the page. This serves as the foundation for obtaining your API key in the next step. Don't worry if this sounds technical—it's just a few clicks to set up.

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Step 3

Get your API keys from each service

For Google Gemini AI, go to Google AI Studio, click "Get API key," then "Create API key," and select your project. Copy the key that appears and save it somewhere secure like a password manager. For Perplexity AI, log into your account, click Settings next to your username, go to the API section, set up an API group with payment details, then navigate to "API Keys" and click "+ Create Key." These API keys are like passwords that give Make permission to use these services on your behalf. Save them immediately in a secure location because you won't be able to view them again later. You'll need these keys to complete your connections in Make.

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Step 4

Create your connections in Make

Log into Make and add a module for the app you want to connect—either Google Gemini AI or Perplexity AI. Click "Create a connection" and you'll see a form. You can optionally name your connection to help remember what it's for, then paste the API key you saved earlier into the API Key field. Click "Save" and Make will test your connection to ensure everything works properly. If successful, you'll see a confirmation message. Your connection is now ready to use and will appear in your list whenever you add a module for that app to any scenario.

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Step 5

Start building your automations

With your connections established, you can now create powerful automations between your apps. Add modules for Google Gemini AI or Perplexity AI to your scenarios, select your saved connection, and configure the actions you want to perform. The setup is complete—now you can focus on building useful workflows. Your connections are stored securely and will work across all your scenarios until you decide to change them. You only need to create each connection once, and it will remain active and ready to use whenever you need it in Make.

Powerful AI synergy: Perplexity AI meets Google Gemini AI

Integrate Perplexity AI and Google Gemini AI to automate research workflows, validate insights across multiple AI sources, and transform discoveries into polished content—all without manual intervention.

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Better knowledge discovery with multi-AI perspectives

Combine Perplexity's information discovery capabilities with Google Gemini's language understanding to cross-reference insights and validate findings from multiple AI sources automatically.

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Automated research-to-content pipeline

Use Perplexity to gather research and information, then automatically feed it to Google Gemini to generate comprehensive content, articles, or reports without manual data transfer.

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Intelligent query refinement and expansion

Leverage Google Gemini to analyze and refine search queries before sending them to Perplexity, ensuring more precise information discovery and better research outcomes.

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Multi-format content transformation

Automatically transform Perplexity's research findings into various formats using Google Gemini's versatile output capabilities, from summaries to code to creative content.

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FAQs

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By connecting Perplexity AI and Google Gemini AI on Make, you can create powerful automated workflows that combine Perplexity's information discovery capabilities with Gemini's advanced language generation. For example, you can automatically feed research findings from Perplexity into Gemini to generate comprehensive articles, reports, or summaries. This integration eliminates manual copy-pasting between platforms, saves hours of work, and ensures your content is both well-researched and professionally written. Make's visual automation builder lets you set up these workflows in minutes without any coding knowledge.

With Make, you can create numerous powerful automations combining these AI tools. For instance, automatically trigger Perplexity AI to research trending topics in your industry, then pass those insights to Google Gemini AI to generate social media posts, blog drafts, or email newsletters. You could also set up workflows that use Perplexity to fact-check information before Gemini processes it into different formats, or create a system where Perplexity gathers competitive intelligence that Gemini transforms into strategic reports. Make's platform allows you to connect these AI tools with thousands of other apps, enabling endless possibilities for your specific business needs.

No programming skills are required! Make provides an intuitive visual interface where you can build integrations between Perplexity AI and Google Gemini AI using drag-and-drop modules. You simply select the triggers and actions you want for each app, configure the data flow between them, and Make handles all the technical complexity in the background. The platform offers pre-built templates and step-by-step guidance to help you create your first automation in minutes. Whether you're a marketer, researcher, content creator, or business owner, you can leverage the power of both AI platforms without writing a single line of code.

Make maximizes your investment in both AI platforms by enabling them to work together, multiplying their individual capabilities. Instead of manually switching between applications and copying data, Make automates the entire process, allowing you to process more information and generate more content in less time. You can create sophisticated multi-step workflows that leverage the strengths of each platform—Perplexity's knowledge discovery and Gemini's versatile content generation—while integrating them with your existing tools like Google Docs, Slack, or your CRM. This integration transforms isolated AI tools into a cohesive, powerful automation ecosystem that delivers exponentially more value than using each platform separately.