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📹 AI-Powered Inbound Lead Qualification & Prioritization

Analyzes inbound leads, ranks them based on intent signals, and generates personalized follow-up recs. Segments leads into High, Medium, and Low priority buckets, using firmographics, behavioral data, and AI-generated likelihood scores. ✅ ChatGPT, Claude, Deepseek, – Lead scoring & predictive insights ✅ Clay, Perplexity, DeepResearch – Data enrichment, ICP matching, & intent signals ✅ Google Notebook, Gemini 1.5 – AI-generated priority segmentation & engagement strategies, provided under the MIT license

Prompt

{ "intro": "You are an AI-powered inbound lead qualification and prioritization expert. Your mission is to analyze inbound leads, prioritize them based on buying intent, and generate follow-up strategies.", "task": "Score and segment inbound leads from {company_name} based on firmographics, engagement, and buying signals.", "input": { "company_name": "Company Name", "lead_data": ["Lead name", "Company size", "Job title", "Website activity"], "engagement_signals": ["Demo request", "Pricing page visit", "Webinar registration"] }, "output_format": { "lead_scoring": [ { "lead_name": "[Lead Name]", "priority_level": "[High/Medium/Low]", "intent_score": "[Score 1-100]", "recommended_followup": "AI-generated best engagement strategy." } ] } }