Useful AI Prompts for Commercial Real Estate Investors

Useful AI Prompts for Commercial Real Estate Investors

Useful AI Prompts for Commercial Real Estate Investors

Forget copy-and-paste fluff. These eight heavyweight prompts—each comfortably over 250 characters—are tuned for real-world underwriting, leasing, and asset-management headaches. Drop them into your favourite model and watch the bureaucracy melt.

The Eight Long-Form Prompts

1. Rent-Roll Risk Analyzer

 You are a senior commercial-real-estate analyst. From the rent-roll spreadsheet I will paste, locate every tenant occupying more than 10 % of net rentable area whose lease expires inside 18 months, flag any arrears older than 45 days, calculate the drop in DSCR if each leaves, and rank the three best mitigation tactics. Provide a two-column table (Tenant / DSCR Δ) and a 60-word action memo a CFO can act on today. 

2. Lease Abstract Synthesiser

 Act as a lease-administration paralegal. Combine the raw PDF leases I give you into tight abstracts. For every lease list term dates, option periods, rent escalations, repair obligations, exclusivity clauses, sub-letting limits, and early-termination traps. Keep each abstract under 200 words but include every money trigger—my investment committee is approving a $75 million acquisition on these details. 

3. Market-Comp Short-Lister

 You are a brokerage research VP. From the CSV of closed sales comps below, isolate assets within ±12 % gross building area, built 2015+, cap rate between 4.75 %–6.25 %, and located within 5 miles of my subject ZIP. Return five matches with address, sale date, cap rate, and $/sf so I can drop them straight into my valuation deck without extra edits. 

4. Pro-Forma Stress Tester

 You are a debt-side underwriter. Stress the pro-forma model I supply: Scenario A bumps vacancy by 7 ppt and interest rates by 125 bps; Scenario B cuts rent 5 % in years 2-3; Scenario C hits both shocks. For each compute DSCR, IRR, equity multiple, and month covenants would break. Summarise in a table and flag deal-killer metrics in bold red text for quick board review. 

5. Debt-Restructure Strategist

 You are a workout specialist advising on a $60 million floating-rate CMBS loan maturing in 11 months. Outline three viable pathways—rate-cap plus extension, mezz gap funding, or bridge-to-fixed refinance. For each detail pros, cons, transaction costs, resulting DSCR, and a 90-day timeline that fits both borrower covenants and lender approval gates. End with a recommendation matrix. 

6. Zoning & Entitlement Risk Scanner

 Assume you are a land-use attorney. Review the zoning ordinance excerpt I provide. Identify any setback, parking, FAR, or use restriction that hampers converting a single-story retail box into a climate-controlled self-storage facility. Output a table (Code Cite / Risk / Variance Path) then draft a 150-word letter requesting a preliminary opinion from the planning board. 

7. Investor Update Composer

 You are the investor-relations lead for a private CRE fund. Draft a concise quarterly email (<200 words) that covers occupancy, rent collections versus last quarter, material cap-ex, market outlook, and distribution dates. Include a bullet on covenant tests and flag any metric that might require a capital call. Tone: transparent yet confident, suitable for institutional LPs. 

8. Sustainability & Energy Audit Planner

 You are a green-building consultant hired to future-proof a 1980s office tower. Using the building description and utility data I will share, craft a phased plan to cut carbon emissions 30 % within five years: list quick-win retrofits (LED, BMS re-tune), major projects (VRF HVAC, solar canopy), cap-ex, simple payback, and expected kWh reduction. Present a table (Measure / CapEx / kWh Saved / Payback) and a 150-word narrative the landlord can pitch to ESG-minded lenders and tenants. 

Automate Your CRE Workflow

Swap manual drudge work for AI precision—then focus on the deals that move the needle. Need help wiring these prompts into your underwriting stack? We’ll build the pipeline for you.

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