For Montreal real estate brokers
A buyer asks ChatGPT which broker to call in your area. It gives them a name. Is it yours?
We put that question to ChatGPT, Claude, Perplexity and Gemini across six Montreal neighbourhoods. Between them the engines named 79 different brokers. Find out whether you are one of them.
The same check we run on day one of a paid engagement. We are giving it away while we build out the Montreal market.
Run my visibility check
What lands in your inbox
- How often each of ChatGPT, Claude, Perplexity and Gemini names you when a buyer asks for a broker in your area. Measured across repeated runs, because these engines answer differently every time.
- Which of the sites those engines actually read carry a profile for you — and which of them do not.
- Whether an AI crawler can read your own pages at all, and what it finds when it gets there.
What we found in August 2026
of recommendations named an individual broker — not a brokerage, and not a portal. The engines send buyers to a person.
Rate-My-Agent was cited 67 times across the scan. Centris.ca was cited 6. Zillow and DuProprio were never cited at all.
Only a third of the brokers who win in French also win in English. They are two separate races, and most brokers are running one.
That second line is the one that stops people. The portal every broker in this city pays attention to is not the source the engines are reading.
The report tells you what is wrong. The call tells you what to do about it.
Twenty minutes, on a screen share. I open your report, show you which brokers the engines name in your area instead of you, and point at the specific pages deciding that. Then I tell you what I would do first and roughly what it takes. If your report comes back clean, I will say so and give you the twenty minutes back.
Book the 20-minute walkthroughNo pitch deck. No obligation. Bring the report and a coffee.
How the check works
We ask the way a buyer asks
Not keywords — real questions, in the language of your market, run several times each because these engines answer differently on every attempt. One screenshot of an AI answer proves nothing. A dozen runs is a measurement.
We read what the engines read
Every page the answers cite gets opened and read the way a crawler reads it, with no JavaScript. We record who each page names. That is how we know a competitor is not winning by accident.
We never score what we could not measure
If something could not be checked, it drops out of the score and the report says so. A gap in our data is not the same as a gap in your visibility, and you should never have to guess which one you are looking at.