Built an AI-powered news monitoring and lead generation automation system using n8n that collects industry-related news from multiple sources, analyzes content using AI, removes duplicates, scores opportunities, and stores qualified leads in Notion.
The workflow continuously tracks relevant keywords and entities across news platforms, transforming raw news data into structured business intelligence.
Developed automated news collection workflows using n8n.
Integrated multiple sources: Google News RSS, PR Newswire, Global Newswire.
Built keyword-based monitoring using configurable keywords from Google Sheets/Notion.
Merged news data from multiple sources into a unified pipeline.
Implemented AI-powered duplicate detection using Claude to identify similar stories with different wording.
Built AI analysis workflows to: Score opportunities (0–100), Detect business signals, Categorize news, Identify subcategories, Recommend relevant actions.
Added validation prompts to improve AI accuracy and prevent missed duplicates.
Compared new articles against existing Notion records to avoid storing duplicate leads.
Automated structured lead storage into Notion database.
Impact
Automated the complete news-to-lead intelligence workflow.
Converted large volumes of news data into qualified business opportunities.
Reduced manual monitoring effort through AI-powered filtering and analysis.
Created a scalable system for tracking market signals, trends, and potential leads.
