A 22-agent residential brokerage in a competitive metro market. Top producers were maxed out at 8-12 active listings; mid-tier agents stuck at 3-5. The bottleneck was always the same — listing copy, market reports, and client follow-through. After a Treetop Implementation engagement, those constraints dissolved. Here is what happened.
Composite case study: a synthesis of patterns we have seen repeatedly across similar engagements. Specific names, numbers, and details are illustrative; the patterns and outcomes reflect real client results.
Brokerage: 22 agents, ~\$1.8B annual transaction volume, residential focus.
Volume: ~340 listings/year aggregate; average price point \$650K.
Pain: Agents spent 60-90 minutes per listing on copy + photo arrangement + MLS entry. Market reports for past clients shipped maybe twice a year instead of monthly. Buyer communications fell off after first showing.
Existing AI usage: Two top producers used ChatGPT informally for listing descriptions. No structured workflow; no shared knowledge; uneven quality across the brokerage.
Week 1: Audit of last 90 days of listings, mapped agent activities, identified the 5 workflows where AI would compound.
Week 2: Built a Listing Description Project loaded with: the brokerage's strongest past listings, the market's voice (high-end vs starter, different neighborhoods), and a forbidden-cliché list. Plus a Market Report Project loaded with the firm's house format and example reports.
Week 3: Built a Buyer Communications Project for personalized follow-through after showings. Trained 8 agents in week 3, the remaining 14 in week 4.
Week 4: Shipped 12 real listings through the new workflow. Refined Projects based on what worked and what produced agent or broker pushback.
Old workflow: Agent gets new listing → writes copy from scratch (60-90 min) → arranges photos → enters MLS → drafts neighborhood mailer → ships. 4-6 hours per listing.
New workflow: Agent fills a quick brief (10 min) → Listing Project produces 3 description variants → agent picks and edits (15 min) → MLS entry → Market Project produces mailer (10 min) → ships. 1.5-2 hours per listing.
Quality: Days-on-market metric held flat; agent and broker reviews show listing copy quality unchanged or improved. The cliché-banning constraint actually raised the floor.
Buyer communications: Post-showing personalized follow-up emails went from 'sometimes' to 'every showing.' Buyer engagement up; second-showing conversion rose 15%.
Listings per agent: Active listings per agent went from 3-5 (mid-tier) and 8-12 (top) to 6-10 (mid-tier) and 18-22 (top). Roughly 2.1x across the brokerage.
Past-client engagement: Quarterly market reports went from twice yearly to monthly. Repeat & referral business up 22% YoY.
Brokerage revenue: Total transaction volume up 35% YoY without adding agents. Per-agent productivity up 90%.
Investment: \$6,500 Implementation + \$300/month Claude Team for 22 seats. Total first-year cost: ~\$10,500. Estimated incremental revenue: \$8M+ in transaction volume; ~\$240K in incremental brokerage commission.