I built an AI system that monitors 6 competitors and generates 15 client-ready posts every morning while I sleep.
I built an AI system that monitors 6 competitors and generates 15 client-ready posts every morning while I sleep. The problem: Agencies spend 17 hours per week manually tracking competitors, extracting patterns, and adapting content. Most insights arrive too late to matter. The solution: An automated pipeline that watches rivals 24/7 and repurposes winning content into brand-aligned assets. Here's the exact architecture: Step 1: Competitor Intelligence Layer (Continuous) - Scrapes Newsletter, Reddit, LinkedIn, TikTok, Instagram, X - Pulls engagement metrics (likes, views, shares, comments) - Flags viral content above threshold (2x avg engagement) - Stores in Airtable with full context Step 2: Pattern Extraction Engine (Every 6 hours) - AI analyzes viral posts for hook structure, body format, CTA type - Extracts psychological triggers and emotion vectors - Maps patterns to platform and funnel stage - Ranks by viral indicator score Step 3: Transformation Cascade (Every morning at 6 AM) - Loads client brand voice, ICP, content DNA - Applies pattern to client positioning - Generates 15-20 variations across platforms - Outputs: LinkedIn thought leadership, X threads, IG Reels scripts, blog outlines Step 4: Claude Command Center (On-demand) - Query: "Show me top 3 competitor trends this week" - Edit: "Rewrite this for MOFU stage" - Research: "Find 10 SEO-friendly angles on [keyword]" - Publish: Auto-posts or queues for review Current metrics from live client: - 6 competitors tracked across 5 platforms - 234 content pieces analyzed in 30 days - 18 viral patterns extracted - 127 repurposed assets created - 5 hours per week freed for strategy The system runs on n8n workflows + Claude + Airtable. I'm testing this with 3 more social media agencies or marketing agencies in October. Drop a comment if you are interested in.