GeoGenius

Brokerage Rankings: real estate brokerages AI recommends in New Jersey

In New Jersey, the GeoGenius Brokerage Rankings cover 2 metros (Livingston, NJ and Morristown, NJ) where ChatGPT, Claude, Gemini and Grok have named 87 real estate agents. Grouped by the core brokerage brand those agents work for, Keller Williams has the most named agents in the state (22 across 2 metros), followed by Coldwell Banker (13) and Compass (10). 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.

Updated Oct 30, 2026 · 2 metros · 18 brokerages · 87 named agents · All states

Brokerages with the most AI-named agents in New Jersey

Top 18 of 18 brokerages across 2 metros
RankBrokerageAgents namedMetrosLeads inResponsesEngines
1Keller Williams national 2221184ChatGPT Claude Gemini Grok
2Coldwell Banker national 1321173ChatGPT Claude Gemini Grok
3Compass national 102081ChatGPT Claude Gemini Grok
4Weichert national 42026ChatGPT Claude Gemini Grok
5RE/MAX national 42016Claude Gemini Grok
6Howard Hanna national 31021ChatGPT Claude Gemini Grok
7Sotheby's International Realty national 32020ChatGPT Claude Gemini Grok
8Elite Realtors of New Jersey independent 21032Gemini Grok
9Berkshire Hathaway HomeServices national 21014ChatGPT Claude Gemini Grok
10Century 21 national 2109Claude Gemini
11Christie's International Real Estate national 2104Claude Gemini
12SR Real Estate Group independent 2104Claude Gemini
13Countryside Homes NJ independent 2104Gemini
14The Saritte Harel Team independent 1108Gemini Grok
15Greenspan Realty independent 1107Gemini
16The Cuccinello Group independent 1107Gemini
17The Dougherty Group independent 1105ChatGPT Gemini Grok
18eXp Realty national 1102Gemini

Ranked metros in New Jersey

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.

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