No cold pitch. No long demo. The audit IS the sales conversation. Here's the full system: Phase 1 — Data collection (5 min) Google Maps: search [niche + city], filter 3.8–4.4 stars, 20–80 reviews, last review 6+ weeks Pull: star rating, last review date, 1-star review themes, competitor gap Phase 2 — GPT analysis Feed the raw data with this prompt: "Based on this business's Google Maps profile [data], calculate: 1. Estimated monthly revenue lost from review gap vs competitors 2. Top 3 automation opportunities from 1-star review themes 3. Suggested personalised outreach opener with a specific dollar figure" Output: A bespoke brief for each prospect in under 60 seconds. Phase 3 — The outreach (not a pitch) "Your review gap vs [Competitor A] is estimated to be costing around $1,800/month in referral bookings. I fixed the same problem for a plumber last month — went 4.1 → 4.8 stars in 90 days. One 20-min call?" Results: • Outreach reply rate: 35% (vs <5% cold pitch) • 1-call close rate: 70%+ • Average retainer: $900–$1,500/month The AI doesn't replace the human conversation — it just makes sure you already know the answer before the question gets asked. Is anyone pairing this with Clay or Apollo for scaled prospecting? Would love to see what stacks people are building around the data layer.