Real estate brokerages AI recommends in Minnesota
In Minnesota, the GeoGenius Brokerage Rankings cover 1 metro (Minneapolis, MN) where ChatGPT, Claude, Gemini and Grok have named 30 real estate agents. Grouped by the core brokerage brand those agents work for, Edina Realty has the most named agents in the state (5 across 1 metro), followed by RE/MAX (3) and Sotheby's International Realty (3). Offices, teams and franchise affiliates count toward their parent brand; the ranking measures presence in AI recommendations, not sales volume or headcount, and payment plays no part. Each metro below ranks every brokerage the engines named there.
Brokerages with the most AI-named agents in Minnesota
| Rank | Brokerage | Agents named | Metros | Leads in | Responses | Engines |
|---|---|---|---|---|---|---|
| 1 | Edina Realty national | 5 | 1 | 1 | 12 | Gemini |
| 2 | RE/MAX national | 3 | 1 | 0 | 14 | Claude Gemini Grok |
| 3 | Sotheby's International Realty national | 3 | 1 | 0 | 12 | ChatGPT Claude Gemini Grok |
| 4 | eXp Realty national | 2 | 1 | 0 | 9 | Claude Gemini |
| 5 | Downtown Resource Group independent | 2 | 1 | 0 | 6 | Gemini |
| 6 | Kris Lindahl Real Estate independent | 1 | 1 | 0 | 8 | ChatGPT Claude Gemini Grok |
| 7 | Redfin national | 1 | 1 | 0 | 4 | ChatGPT Gemini |
| 8 | Engel & Völkers national | 1 | 1 | 0 | 4 | Gemini |
| 9 | Keller Williams national | 1 | 1 | 0 | 4 | Grok |
| 10 | JPW Realty independent | 1 | 1 | 0 | 3 | ChatGPT Grok |
| 11 | Bridge Realty independent | 1 | 1 | 0 | 3 | Gemini |
| 12 | BRIX Real Estate independent | 1 | 1 | 0 | 3 | Gemini |
| 13 | Leyendecker Luxury Real Estate independent | 1 | 1 | 0 | 2 | Claude Grok |
| 14 | Matt Lill & Partners independent | 1 | 1 | 0 | 2 | ChatGPT Grok |
| 15 | Pemberton Real Estate independent | 1 | 1 | 0 | 2 | ChatGPT Gemini |
Ranked metros in Minnesota
- Minneapolis, MN — 15 brokerages · 30 named agents · most: Edina Realty (5)
How this ranking is built
GeoGenius asks ChatGPT, Claude, Gemini and Grok the questions a buyer or seller would ask about each metro and records every agent each engine names. Each named agent's brokerage is resolved to its core brand and the brands are ranked by named agents, then distinct responses, then distinct engines. The method mirrors our published 36-market study at https://geogenius.ai/ai-report.