Research potential rental properties with deep research
An investor uses ChatGPT's deep research feature to produce a full report on a property before running exact numbers on a rental investment.
Done withChatGPT
- What they did
- The poster uses ChatGPT’s online or deep research mode on the paid plan as a first-pass screen for rental deals. They paste the full Zillow listing into the chat and have it produce a full property report before they personally move on to calculating exact investment numbers and doing manual checks.
- How it went
- The thread gives no hard performance results or deal metrics. The main takeaway from replies is that AI can help with initial research, but the investor still needs to verify facts and know the numbers because the model can hallucinate.
- Worth knowing
- The practical catch is the workflow is rough as described: they simply paste the entire Zillow listing into ChatGPT rather than using a cleaner input method.
Try it yourself with ChatGPT
Use deep research to build a full report on this rental property: [address or listing link] in [city]. Cover the neighborhood, recent comparable sales and rents, vacancy trends, property taxes, insurance costs, local landlord regulations, and any red flags. Finish with a one-page summary of the key numbers I should plug into my own rental return calculations, and cite your sources.
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Source: Reddit · Undated
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