GeoGenius

Brokerage Rankings: real estate brokerages AI recommends in District of Columbia

In District of Columbia, the GeoGenius Brokerage Rankings cover 1 metro (Washington, DC) where ChatGPT, Claude, Gemini and Grok have named 69 real estate agents. Grouped by the core brokerage brand those agents work for, Sotheby's International Realty has the most named agents in the state (14 across 1 metro), followed by Compass (8) and Washington Fine Properties (7). 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 Sep 18, 2026 · 1 metro · 20 brokerages · 69 named agents · All states

Brokerages with the most AI-named agents in District of Columbia

Top 20 of 20 brokerages across 1 metro
RankBrokerageAgents namedMetrosLeads inResponsesEngines
1Sotheby's International Realty national 141179ChatGPT Claude Gemini Grok
2Compass national 81043ChatGPT Claude Gemini Grok
3Washington Fine Properties independent 71062ChatGPT Claude Gemini Grok
4Samson Properties independent 31036Claude Gemini Grok
5Redfin national 31010Grok
6eXp Realty national 21020Claude Gemini Grok
7Long & Foster national 21020Claude Gemini Grok
8Coldwell Banker national 2106ChatGPT Gemini
9The ONE Street Company independent 11011ChatGPT Gemini Grok
10Love Live DC independent 1104Claude
11SERHANT. national 1103Gemini Grok
12The Agency national 1103Claude Gemini
13Buyer's Edge Company independent 1102ChatGPT Grok
14The Heider Company independent 1102Gemini Grok
15@properties national 1102Gemini
16Century 21 national 1102Gemini
17Fox Homes Team independent 1102Claude
18Jill Schwartz Group independent 1102Gemini
19Keller Williams national 1102Claude
20The NTB Group independent 1102ChatGPT

Ranked metros in District of Columbia

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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