I’ve been digging into a weird gap in real estate discovery:

When a buyer or seller asks ChatGPT, Claude, Gemini, or Grok something like “who’s a good agent in [metro]?”, the models don’t answer with GCI, headcount, or ad spend. They just name people.

So I started tracking which agents those engines actually name, then rolling the names up to the brokerage brand. Not “who has the most agents.” Not “who sells the most.” Just: when AI is asked who to call, whose agents show up?

Current snapshot (national rollup):

• ~71 ranked US metros
• ~788 brokerages that show up at least once
• ~3,000 named agents
• National leaders by AI-named agents: Keller Williams, Compass, Sotheby’s International Realty, Coldwell Banker, RE/MAX
• KW and Compass are basically tied at the top

A few things that surprised me while building this:

1. Presence ≠ size. A big brand can under-index hard in a metro if the engines aren’t naming their people.
2. Franchise rollups matter. Offices, teams, and affiliates usually get counted toward the parent brand, so “local” names often feed a national total.
3. The board moves. New metros and new named agents keep getting added, so yesterday’s order isn’t sacred.

I’m curious what this looks like from the field:

• In your market, when you’ve asked ChatGPT/Claude for an agent, did the names match who you’d expect?
• Do you think AI citation is already affecting leads, or is it still mostly noise for now?
• For recruiting / brand leadership — would you care more about AI-named agents, or still only traditional production metrics?

Genuinely looking for local reality checks, not a pitch thread!