Keep a database of every home in your farm area and use AI to spot the moment to reach out to each owner
Richard Prebish, broker-associate with the Campbell & Prebish team at William Raveis Real Estate in Naples, Florida, in Florida Realtor magazine
With RarefiedRE, a firm that builds technology for real estate professionals, the team built naplesluxuryhomes.com and a proprietary database covering nearly every home in Port Royal: transaction history, architectural details, past improvements, photography and property notes he says aren't in the MLS. The team uses AI-assisted tools to spot the right moment to reach out, such as a market shift, an inventory change or a recent sale that affects how an owner's home compares, and for pricing analysis and trend identification. The magazine doesn't name the AI tools.
Tools not named in the article. Our DIY build: ChatGPT Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo · Google Sheets free with a Google account
Medium · or we set it up for $197
Varies
The problem
In a luxury enclave where every home is different, general market overviews give owners no reason to talk, and the team's decades of property knowledge weren't being used at scale.
What happened
Self-reported, no figures: "AI has finally given us the tools to leverage it for go-to-market strategies, pricing analysis and trend identification at a scale that is game changing for us," he says, and "The technology handles the intelligence; we handle the relationship." He says AI lets the team spend less time on production and logistics and more time talking with clients and prospects.
Quoted in the source: Richard Prebish, broker-associate, Campbell & Prebish at William Raveis Real Estate. Source: Florida Realtor magazine: AI can crunch the data. YOU keep the relationships. (Leslie Stone) (2026-07-20) · Added 2026-10-21.
How to set it up yourself
- What the Campbell & Prebish team does: a proprietary database of nearly every home in Port Royal, built with RarefiedRE, feeds AI-assisted tools that flag when a sale, an inventory change or a market shift gives the team a reason to contact a specific owner. The steps below are our spreadsheet-sized DIY version.
- Make a sheet with one row per home in your farm area: address, owner, last sale date and price, beds, baths and lot, known improvements and your own public notes. Leave out anything a client told you in confidence.
- Each week, export the new sales, new listings and price changes in that area from your MLS.
- Paste both into ChatGPT with the prompt below to get a short list of owners with a specific reason to hear from you; check every comparison against the MLS before you call or write.
Copy-paste prompt
Here is my farm list (one home per row): {PASTE SHEET}. Here are this week's new sales, new listings and price changes in the area: {PASTE MLS EXPORT}. List up to 10 owners for whom one of these changes matters (for example, a similar home nearby sold or listed), with the address, the specific change, one sentence on why it's relevant to their home, and a two-sentence opener I could use. Don't estimate values; write [CHECK CMA] wherever a price opinion would be needed.We set up one AI automation in your tools, live within 48 hours of getting access, for $197. No call needed. Founding price for our first 10 customers (regular $297).
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