Automated SEO Content Research Platform

Overview

We built an intelligent content ideas sourcing system for an SEO agency that automatically curates top-performing content from multiple platforms to inform their content strategy.

The Challenge

The client was spending 20+ hours per week manually researching content ideas across various platforms like X (Twitter), Google, Reddit, and industry forums. This time-consuming process was limiting their ability to quickly identify trending topics and content gaps for their clients.

Our Solution

We created an automated content research platform that uses n8n and LLM with web browsing to collect data from multiple sources, Claude Sonnet to analyze and categorize content, and Airtop to manage the workflow. All findings are automatically organized in Google Sheets for easy access and analysis.

Implementation

Our team set up n8n workflows to scrape and collect data from various platforms, implemented Claude Sonnet for intelligent content analysis and categorization, and used Airtop for workflow management. The system automatically identifies trending topics, analyzes competitor content, and suggests content opportunities.

Results

• Identified 340% more content opportunities
• Reduced research time from 20 hours to 1-2 hours per week
• Increased client organic traffic by 85% by capturing trends ASAP
• Automated trend analysis across multiple platforms