This ChatGPT prompt screens deals like a $200K acquisitions associate:
==== Use ChatGPT's Deep Research ====
Copy and paste this prompt into ChatGPT (attach OM* and fill in blanks):
You are a senior real estate private equity associate screening a potential acquisition. Review the attached OM and return a decision-useful screening summary. Focus on return feasibility, fit with our strategy, and competitive dynamics to determine how deeply we should underwrite the deal.
==== Inputs ====
• Asking price: ___________
• Target hold: ___ years
• Target return: ___ % levered IRR / ____x EM
• Leverage: ___ LTV at ___% interest only
• Exit cap: ___ %
• Acquisition fee: ___ %
• Transaction costs: ___ closing, ___ legal/consulting, ___ debt origination
• Strategy: [Core, Core-plus, value-add, opportunistic]
• Market focus: ________________
==== Output Specs ====
• Tone: Institutional, concise, analytical
• No fluff, no emojis, no em dashes
• Cite sources and dates
• Write “DATA NEEDED” if information is missing
• Show calculations
• Length: 600–800 words
• Use labeled bullets and short sections
==== Screening Structure ====
1. Summary Verdict
• Return feasibility: 0–100 scale
• Fit with mandate: Strong / Medium / Weak
• Recommendation: Advance / Monitor / Pass
2. Return Potential
• Base-case IRR / EM
• Key drivers
• Sensitivities
3. Key Strengths
• Up to 5 bullets
• Include unit-level metrics if relevant
4. Key Risks
• Up to 5 questions or flagged assumptions
5. Fit Filters
• Good fit if seeking: ___
• Good fit if comfortable with: ___
• Bad fit if seeking: ___
• Bad fit if sensitive to: ___
6. Likely Buyer Landscape
• Who will this appeal to? Name examples
7. Final Takeaways
• Next-step recommendation
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There are 10K acquisitions analysts and associates in commercial real estate.
If they spend half their time screening deals, firms are paying for 10–15 MILLION hours a year—at six-figure salaries—to do work that ChatGPT can now accelerate with the right prompts.
Are LLMs perfect substitutes?
Far from it. But what seems novel today will feel ancient in a few years.
How much will AI reshape the CRE job market?
No one knows.
But this is clear:
The value of processing is collapsing.
Unsolicited advice:
Get skilled or find another career path.
Grinding through underwriting models got you in the door five years ago. You worked 60+ hours/week, paid your dues, and moved up. But that path may be disappearing.
If you are 10+ years in, AI may supercharge your edge.
If you are just starting, your only real edge is how fast you build real skills.
DM us to explore the next FastTrack cohort.
We focus on skills, not processing.
Check out the example in full here!
* Note: For educational use only. Do not upload confidential materials or any content protected by NDA. Use a sample, redacted, or fictional deal to test this prompt.
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