ChatGPT for real estate analysis vs BrickROI: an honest comparison
Built by Nate Rempel, a Canadian real estate investor. The math is golden-tested to the penny against a CPA-audited spreadsheet.
A general AI chatbot is a useful study partner. It can explain DSCR, walk you through cap rate, and sketch a quick model. What it cannot do is run your specific Canadian deal on the real rules and hand you a lender PDF. Here is where each one fits.
Where a general AI chatbot is genuinely good
For learning, a chatbot is a strong tool. Ask it what DSCR means, how CMHC insurance works in plain terms, or how to think about cash-on-cash versus cap rate, and it will give you a clear answer. It is patient, it is available at any hour, and it never makes you feel slow for asking. As a tutor for the concepts, it earns its place.
It can also do quick arithmetic if you feed it every number yourself. For a back-of-envelope check, that is fine.
Where it falls short for a real Canadian deal
The problem is trust and structure. A general chatbot does not carry the Canadian rules, does not pull the property data, and can get arithmetic wrong without telling you. It will confidently state a CMHC premium that is off, and you will not know unless you already knew the answer. It does not read a listing, it does not know the property tax rate for the city, and it does not produce a document your lender will accept.
That is the gap between a helpful explanation and a decision you can stand behind at the offer table.
| Capability | General AI chatbot | BrickROI |
|---|---|---|
| Explains the concepts well | Yes | Yes, via the Mentor |
| Deterministic, tested math | No | Golden-tested to the penny |
| CMHC and MLI Select math | Unreliable | Built in |
| Provincial rent-control automation | No | Yes |
| Pulls Canadian property data | No | Auto-fill from a listing URL |
| Local property taxes loaded | No | 55 cities, live |
| Reads your specific deal | Only what you paste | Deal Mentor |
| Lender-ready PDF | No | Yes, one click |
| Six-sheet XLSX with live formulas | No | Yes |
Tested math, then a mentor on top
BrickROI splits the two jobs the right way. The numbers come from deterministic math, golden-tested to the penny against a CPA-audited spreadsheet, so a CMHC premium or a DSCR is computed, not guessed. Then the Deal Mentor reads that specific deal and answers your what-ifs in plain English. You get the patience of a chatbot with numbers you can actually trust and a document your lender will accept.
Put simply: use a general AI to learn the ideas, and use BrickROI to run the deal you are about to make an offer on.
See the Canadian math you can stand behind.
Paste a Canadian listing into BrickROI and see deterministic Canadian-rule math, then ask the Deal Mentor your what-ifs. Two minutes.
Run a deal first. The 14-day Pro trial is waiting inside the app, once you've seen what it does.
AI analysis questions
Can ChatGPT analyse a real estate deal?
It can explain concepts and do basic math if you give it every number, but it does not carry Canadian rules, does not pull property data, and can make arithmetic mistakes. It also does not produce a lender-ready PDF. Treat it as a tutor, not the analysis of record.
Is the BrickROI Deal Mentor just ChatGPT?
No. The Deal Mentor sits beside a deal whose numbers were already computed by deterministic, golden-tested math. It reads that specific deal and answers what-ifs. The chat explains the why, but the numbers are not generated by the AI.
Why not just ask an AI for the CMHC math?
Because a general chatbot can get it wrong and will not tell you when it has. BrickROI computes CMHC premiums, MLI Select scoring, and DSCR with deterministic math tested to the penny against a CPA-audited spreadsheet, then the Mentor talks you through the result.