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AI-Powered Bank Prospecting Engine - Multi-Signal News Monitor

AUTOMATED PROSPECTING ENGINE FOR ENTERPRISE SALES This 9-step workflow monitors 36+ target accounts daily for buying signals from news sources, then uses GPT-5 to analyze relevance and generate sales-ready outreach intelligence. WHAT IT DOES: - Pulls target account list from Google Sheets - Loops through each account individually - Fetches latest news via RSS feeds - AI analysis (GPT-5) evaluates for 7 buying signal types - Smart filtering blocks noise (only ~47% pass quality bar) - Outputs actionable signals with pain scores + outreach angles TECHNICAL STACK: ✓ Looping by Zapier (Premium) ✓ Webhooks for dynamic RSS construction ✓ GPT-5 API with custom prompt engineering ✓ Code by Zapier (Python) for JSON parsing ✓ Multi-layer filtering for signal quality RESULTS: 17 high-quality signals generated from 36 accounts, with consultative outreach angles pre-built. Saves 10+ hours/week of manual research. --- Built as proof-of-concept for interview process. Would love feedback on: 1. What additional data sources would increase signal quality? 2. How would you enhance the filtering logic? 3. What output format would be most useful for AEs? Open to suggestions for v2.0 improvements! Thanks again for the call Jon. Best, Charlie Timberlake

Charles Timberlakecreated by Charles Timberlake
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