AI-optimized content posting to X, Discord & LinkedIn with OpenRouter

2401 views

2/3/2026

Email Automation OpenAI Data Extraction Notion Attachment Processing

Amplify your social media presence with BuzzBlast, an n8n workflow designed to make your content go viral across X, Discord, and LinkedIn. By sending a single chat message, BuzzBlast leverages OpenRouter's AI to optimize your input for each platform’s unique audience—crafting punchy tweets for X, engaging messages for Discord, and professional posts for LinkedIn. With smart language detection, it ensures the output matches your input’s language for authentic engagement.

Key Features

🚀 Multi-Platform Posting: Shares optimized content to X, Discord, and LinkedIn simultaneously.
🧠 AI Optimization: Uses OpenRouter’s AI to tailor content for virality on each platform.
🌐 Language Detection: Matches output to your input language for seamless engagement.
🔄 Smart Routing: Automatically directs content to the right platform using a switch node.
📱 Chat Trigger: Initiates posts via a simple chat message.
⚡ Zero Hassle: No manual reformatting—BuzzBlast handles it all.

Ideal For

Social media managers looking to streamline cross-platform posting.
Content creators aiming to boost engagement with minimal effort.
Businesses seeking to maximize reach across diverse audiences.

Pre-Requirements

n8n instance: A running n8n instance (cloud or self-hosted).
Credentials:
- X account with OAuth2 API access.
- Discord Webhook API setup for your server.
- LinkedIn account with OAuth2 API access.
- OpenRouter account for AI language model access.
Chat Trigger Setup: A configured chat platform (e.g., Slack, Telegram) to send input messages to the workflow.

Setup Instructions

Import the Workflow:
- Copy the provided workflow JSON and import it into your n8n instance via the "Import Workflow" option in the n8n editor.
Configure Credentials:
- In the Post to X node, set up OAuth2 credentials for your X account.
- In the Post to Discord node, configure a Discord Webhook for your server.
- In the Post to LinkedIn node, add OAuth2 credentials for your LinkedIn account.
- In the OpenRouter AI Model node, provide API credentials for your OpenRouter account.
Set Up Chat Trigger:
- In the Chat Input Trigger node, configure your preferred chat platform (e.g., Slack, Telegram) to send trigger messages.
- Ensure the webhook is active and correctly linked to your chat platform.
Test the Workflow:
- Send a test message via your chat platform (e.g., "Announcing our new product launch!").
- Verify that the AI optimizes the content and posts it to X, Discord, and LinkedIn as expected.
Activate the Workflow:
- Once tested, toggle the workflow to "Active" in n8n to enable automatic execution when chat messages are received.

Customization Guidance

Changes Chat Trigger: Adjust the chat trigger using your preference platform like telegram, discord, etc.
Modify AI Prompt: Adjust the prompt in the AI Content Optimizer node to change the tone or style (e.g., more professional for LinkedIn or conversational for Discord).
Add New Platforms: Extend the Route to Platforms node by adding conditions for additional platforms (e.g., Instagram or Facebook) and corresponding posting nodes.
Change AI Model: In the OpenRouter AI Model node, select a different OpenRouter model to optimize content quality or manage costs.
Enhance Output Format: Update the JSON schema in the Parse AI Output node to include additional fields like hashtags, emojis, or links for specific platforms.
Add Error Handling: Include an error-handling node after the Route to Platforms node to log failed posts or retry them automatically.

Why Choose BuzzBlast?

BuzzBlast saves time, maximizes reach, and lets AI craft platform-perfect posts that resonate with your audience. Whether you're an influencer, marketer, or business, this workflow makes cross-platform posting effortless. Ready to make waves online? Grab BuzzBlast and start buzzing!

made by: khmuhtadin Need a custom? contact me on LinkedIn or Web

# AI-Optimized Content Posting to X, Discord, and LinkedIn with OpenRouter

This n8n workflow automates the process of generating and distributing AI-optimized content across multiple social media platforms, including X (formerly Twitter), Discord, and LinkedIn. It leverages the power of OpenRouter for advanced language model capabilities and provides a flexible way to manage content distribution based on the generated output.

## What it does

This workflow streamlines your content strategy by:

1.  **Receiving a Chat Message**: Initiates the workflow upon receiving a chat message, likely containing a prompt or topic for content generation.
2.  **Generating AI Content**: Uses an OpenRouter Chat Model to generate content based on the input chat message.
3.  **Structuring AI Output**: Parses the AI-generated content into a structured format, ensuring consistency and extractability of key information.
4.  **Splitting Content for Platforms**: Divides the structured content into individual items, potentially preparing different versions or parts for each social media platform.
5.  **Routing Content by Platform**: Uses a Switch node to intelligently route the content to the appropriate social media platform (X, Discord, or LinkedIn) based on a condition in the AI-generated output.
6.  **Posting to X**: Publishes the optimized content to X (formerly Twitter).
7.  **Posting to Discord**: Sends the optimized content to a specified Discord channel.
8.  **Posting to LinkedIn**: Shares the optimized content on LinkedIn.

## Prerequisites/Requirements

To use this workflow, you will need:

*   **n8n Instance**: A running instance of n8n.
*   **OpenRouter API Key**: For the "OpenRouter Chat Model" node to interact with OpenRouter's language models.
*   **X (formerly Twitter) Account & Credentials**: To post content to X.
*   **Discord Account & Webhook/Bot Credentials**: To post messages to Discord.
*   **LinkedIn Account & Credentials**: To share content on LinkedIn.

## Setup/Usage

1.  **Import the Workflow**: Download the JSON file and import it into your n8n instance.
2.  **Configure Credentials**:
    *   Set up your OpenRouter API key credential.
    *   Configure your X (formerly Twitter) API credentials.
    *   Set up your Discord webhook or bot credentials.
    *   Configure your LinkedIn API credentials.
3.  **Customize the Chat Trigger**: Adjust the "When chat message received" node to listen for messages from your preferred source or chat application.
4.  **Refine AI Prompts**: Modify the "Basic LLM Chain" and "OpenRouter Chat Model" nodes to include specific prompts and instructions for generating the desired content format and tone.
5.  **Adjust Output Parser Schema**: If the AI output structure changes, update the "Structured Output Parser" node to match the new schema.
6.  **Configure the Switch Node**: Ensure the "Switch" node accurately routes content based on conditions derived from the AI-generated output (e.g., a field indicating `target_platform: "X"`).
7.  **Customize Social Media Posts**:
    *   In the "X" node, configure the message content and any other posting options.
    *   In the "Discord" node, specify the channel ID and message format.
    *   In the "LinkedIn" node, define the post content and visibility.
8.  **Activate the Workflow**: Once configured, activate the workflow to start automating your content posting.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

By Ranjan Dailata

161

AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp

This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The “virtual executive team,” is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier 🎯 Core Features 🧑‍💼 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. 📊 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. 🕵️‍♀️ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. ⏰ 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline — key traits for early-stage success. 🗓️ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. 💬 WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. ⚙️ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. 🧩 Integrations Required Gemini API – for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API – for business and competitor analysis SerpAPI – for market research and opportunity scouting Google OAuth – to connect Sheets, Calendar, and Gmail WhatsApp Business API – for message triggers and responses 🚀 Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. 🧰 Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startup’s needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you 💡 Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business

By Shadrack

331

🎓 How to transform unstructured email data into structured format with AI agent

This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From – sender’s email address To – recipient’s email address Subject – email subject line Summary – short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits ✅ Full Automation: Eliminates manual reading and data entry from incoming emails. ✅ Multi-Source Integration: Handles data from different email providers seamlessly. ✅ AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. ✅ Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. ✅ Time Efficiency: Processes emails in real time, improving productivity and response speed. *✅ Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.

By Davide

1616