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LinkedIn Content Engine
Projects
LinkedIn Content Engine
Complete LinkedIn Agency Workflow: From Research to Published Posts in Minutes This automation system transforms any YouTube video or blog post into three professionally crafted LinkedIn posts with custom-generated images, tailored to your company's brand and audience. The Challenge: Content creators and agencies spend hours manually researching companies, analyzing reference posts, repurposing content, and creating engaging visuals for LinkedIn campaigns. The Solution: A fully automated n8n workflow that handles the entire content creation pipeline: Phase 1: Intelligent Company Research - Automatically extracts company data from Airtable triggers - Uses AI agents with Perplexity integration for real-time company research - Generates comprehensive business overviews, value propositions, and ideal customer profiles - Scrapes and analyzes high-performing LinkedIn reference posts Phase 2: Content Processing - Automatically detects content type (YouTube video or blog post) - Transcribes YouTube videos using RapidAPI - Extracts and converts blog content to markdown - Processes raw content for optimization Phase 3: AI-Powered Content Creation - Analyzes selected reference posts to mimic successful styles and formats - Generates three distinct LinkedIn post variations: Story-Based, Insight-Focused, and Engagement-Focused - Creates custom image prompts based on post content - Generates professional visuals using OpenAI's image generation - Hosts images automatically via ImageKit Results: What once took 3-4 hours of manual work now completes in under 10 minutes, delivering publication-ready LinkedIn content with matching visuals, all stored and organized in Airtable for easy client review and scheduling. Perfect for: LinkedIn agencies, content creators, and marketing teams managing multiple client accounts who need to scale quality content production without sacrificing personalization.
Year
Aug 1, 2025
Tech Stack
n8n, Airtable
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