I'm at a critical decision point and would love feedback from anyone who's built lead qualification systems before. CONTEXT: I'm building an AI automation system for med spa lead generation. Before I start selling anything, I want to validate my assumptions by doing ICP (Ideal Customer Profile) discovery calls with 5-7 med spa owners. But here's the thing: I don't want to waste time calling the wrong businesses. So I'm building a multi-layer qualification workflow to identify which med spas are worth talking to for ICP research. THE WORKFLOW I'M PLANNING: Layer 1: Google Maps Data Scraping • Scrape 200-500 med spas from Austin (using Google Maps API) • Collect: Business name, website, review count, rating, primary category, phone • Use GPT to score leads 0-100 based on these signals • Goal: Identify businesses that are "serious but inconsistent" (my target ICP) Layer 2: Website Analysis • For businesses with websites: Scrape content using Firecrawl • Use GPT to score website quality, service clarity, and alignment with GBP • Combine Google Maps score + Website score → Final ICP tier (A / B+ / B / C) • Goal: Understand which businesses need help vs. already optimized Layer 3: Email Extraction & Outreach • Use Hunter.io to find business owner emails • Send non-sales outreach via Instantly.ai (just asking for 15-min research call) • Track opens, clicks, replies • Goal: Book 5-7 ICP discovery calls (not selling, just learning) Layer 4: AI Voice Follow-Up • If no email response after 5 days: Vapi AI calls them • Script: "I'm doing market research on med spa marketing, would you have 15 minutes to chat?" • Goal: Increase response rate with multi-touch approach Layer 5: ICP Discovery Calls • Conduct 5-7 manual calls with qualified leads • Ask: What's your biggest challenge? What are you spending on marketing? What would you pay to solve X? • Goal: Validate assumptions, understand real pain points, build offer based on