AI-Powered Inbound Lead Qualification & Prioritization
This AI prompt analyzes inbound leads, ranks them based on intent signals, and generates personalized follow-up recommendations. It segments leads into High, Medium, and Low priority buckets, using firmographics, behavioral data, and AI-generated likelihood scores.
๐ Best Tools to Use:
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ChatGPT (GPT-4), Claude, Deepseek, O3 โ AI for lead scoring & predictive insights.
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Clay, Perplexity, DeepResearch โ Data enrichment, ICP matching, and intent signals.
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Google Notebook, Gemini 1.5 โ AI-generated priority segmentation & engagement strategies.
{
"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."
}
]
}
}