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Perplexity AI
Inoreader

Connect Perplexity AI and Inoreader integrations

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

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Create a custom workflow

Transform Perplexity AI's intelligent insights into organized, actionable content by automatically routing AI-generated summaries and analysis directly into your Inoreader feeds through Make's automation platform. Optimize your content workflow by letting AI-powered intelligence curate your RSS streams without manual intervention

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.

Inoreader
Trigger: Watch Articles
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when a specified type of article is published.

  • Triggers when a new subscription is added.

  • Triggers when a "Trigger Webhook" rule is processed. Only available with Inoreader Pro Plan.

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

Connect Inoreader and Perplexity AI through Make's automation platform to create powerful workflows where Inoreader serves as the trigger and Perplexity AI functions as the action. When Inoreader generates new insights, summaries, or analysis results, these outputs can automatically trigger actions in Perplexity AI, such as adding enriched content to specific feeds, organizing AI-processed information into curated collections, or updating your RSS streams with improved articles. This integration enables you to automatically route Inoreader's intelligent content processing directly into your Perplexity AI feed management system, creating automated processes that transform AI-generated insights into organized, actionable content within your RSS workflow

Add a Subscription
Adds a subscription to an RSS feed by its URL.
Action
Assign a Tag
Assigns a tag to one or several articles.
Action
Create a chat completion
Creates a chat completions with the chosen model.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Generate contextualized embeddings (advanced)
Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.
Action
Generate embeddings
Generate vector representations (embeddings) for the text you provide.
Action
List Articles
Returns a list of articles.
Search
List search results
Returns the ranked search results from Perplexity's continously refreshed index.
Search
List Subscriptions
Returns a list of all subscriptions.
Search
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How to set up Perplexity AI and Inoreader in 5 easy steps

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Step 1

Open the Inoreader module and start the connection

Begin by opening your Make workspace and finding the Inoreader module in your automation scenario. Click on the module to access its settings, where you'll see an option to create a new connection. This connection will allow Make to communicate with your Inoreader account and access your reading feeds.

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Step 2

Connect your Inoreader account

When the connection window appears, enter your Inoreader username and password. After filling in your login details, click the Authorize button to let Make access your Inoreader data. You'll see a confirmation message once the connection is successfully established, meaning Make can now work with your Inoreader articles and subscriptions.

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Step 3

Get your Perplexity AI access key

To connect Perplexity AI, you'll need a special access key from your Perplexity AI account. Log into Perplexity AI and click the Settings icon next to your username, then navigate to the API section. Create a new API key by clicking the Create Key button, then copy this key and save it somewhere secure for the next step.

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Step 4

Connect Perplexity AI to Make

Add a Perplexity AI module to your Make scenario and click on it to open the settings. Click the Create a connection button, and you'll see a field where you can paste your API key. Insert the key you copied from Perplexity AI into this field, making sure there are no extra spaces, then click Save to establish the connection.

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Step 5

Start building your automation

With both Inoreader and Perplexity AI now connected to Make, you're ready to create automated workflows between these applications. Make can now retrieve articles from Inoreader and process them using Perplexity AI's capabilities. Your connected apps will work together automatically according to the automation scenarios you design.

Transform your content workflow with Perplexity AI and Inoreader integration

Combine Perplexity AI's intelligent analysis with Inoreader's RSS feed management to automatically enrich articles, generate insights, and optimize your research workflow with powerful AI automation.

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Automatic knowledge enrichment of RSS content

Automatically enrich articles from Inoreader feeds with deeper context and insights from Perplexity AI's knowledge base.

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Intelligent content discovery and curation

Use Perplexity AI to analyze and summarize Inoreader articles, enabling smarter content filtering and prioritization.

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Research workflow automation

Trigger Perplexity AI queries based on specific Inoreader content topics to automatically gather additional research and background information.

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Better content sharing with AI insights

Automatically generate AI-powered summaries and key insights from Inoreader articles before sharing them with your team or audience.

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FAQs

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By connecting Perplexity AI with Inoreader on Make, you can automatically send interesting articles from your Inoreader feeds to Perplexity AI for deeper analysis and summarization. This integration allows you to quickly extract key insights from multiple sources without manually processing each article. Make's automation ensures that as new content appears in your Inoreader feeds, Perplexity AI can instantly provide concise summaries and answer specific questions about the content, helping you stay informed without spending hours reading.

Make enables you to create powerful automated workflows between these applications. For example, you can set up a scenario where high-priority articles tagged in Inoreader are automatically sent to Perplexity AI for analysis, with the AI-generated summaries then stored in your preferred note-taking app or shared with your team via email or Slack. You can also create workflows that use Perplexity AI to generate follow-up research questions based on trending topics in your Inoreader feeds, or automatically fact-check claims from articles before you share them. These automations save time and improve your content curation process.

No programming skills are required. Make provides a visual, drag-and-drop interface that makes it easier to connect Perplexity AI and Inoreader without writing code. You select triggers (like when a new article appears in Inoreader) and actions (like sending that article to Perplexity AI for analysis), then configure the data flow between them using Make's intuitive scenario builder. Make offers pre-built modules for both applications, and you can test your integrations step-by-step to ensure everything works correctly before activating the automation.

Manual switching between Perplexity AI and Inoreader is time-consuming and prone to missed opportunities. With Make's integration, you eliminate repetitive tasks and ensure consistency in your workflow. Instead of copying article URLs from Inoreader, pasting them into Perplexity AI, and waiting for responses, Make automates this entire process in seconds. The platform runs 24/7, processing new content even when you're offline, so you always have analyzed, actionable information ready when you need it. This automation can save hours each week while improving the quality and depth of your content research and knowledge management.