Publish your own weekly local market data, videos and blog posts so ChatGPT starts recommending your team
John Turner, leader of the Turner Victory Team (10 team members) in Murfreesboro, Tennessee, in RISMedia
He pulls MLS data every week and looks at it a little differently from standard reports, using internal tools he built to process it while learning as he went with AI tools. He redesigned the team website, publishes data reports for prospective clients, and makes videos with accompanying blog posts on specific real estate topics, mostly to build authority with AI. Each week he searches AI tools to see where and how the team shows up.
ChatGPT Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (the AI tools behind his data work aren't named; prospects mention ChatGPT; the steps use ChatGPT)
Medium · or we set it up for $197
Varies
The problem
After the market turned in 2022 he wanted to understand what was happening, and the team had always relied on word of mouth rather than paid online leads.
What happened
Self-reported: one weekend two callers both said "We found you online," though the team doesn't pay for online leads, and he says the number of leads has grown every month since. No lead or closing counts are given. He says it took a great deal of his own time and that AI "hallucinates quite a bit." The article doesn't name the AI tools he used to build the data tools.
Quoted in the source: John Turner, team leader, Turner Victory Team. Source: RISMedia: DIY for AI: How One Team Leader Snowballed Data and Trust Into ChatGPT Referrals (Jesse Williams) (2026-10-15) · Added 2026-10-21.
How to set it up yourself
- What Turner Victory Team does: weekly local MLS data, analyzed its own way, goes into reports, videos and blog posts; the team leader checks every week where it appears in AI answers. The AI tools he built with aren't named; the steps below are our DIY version with ChatGPT.
- Each week, export the same MLS report for your area (new listings, closings, price cuts, days on market) and upload it to ChatGPT with the prompt below to find one or two numbers that standard reports don't show.
- Check those numbers against the MLS yourself, then record a short video and post it with a blog post on your own site that says the numbers in plain words, with your name and area in the title.
- Once a week, ask ChatGPT and other AI assistants who they'd recommend for buying or selling in your area, note whether your name appears and which pages they cite, and ask every new caller how they found you.
Copy-paste prompt
This is this week's MLS export for {AREA} ({COLUMNS}). Compared with last week's export ({LAST WEEK}), find 2 or 3 changes a buyer or seller would care about that a standard market report wouldn't show (for example homes relisted after a price cut, or days on market counted across relists). For each, give the number, how you calculated it, and one plain-English sentence explaining it. Use only the data in the files; flag any rows with missing values instead of guessing.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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