ChatGPT Prompts for Commercial Real Estate Agents: 24 Prompts Built for CRE Brokers (Not Residential)

If you're a commercial broker, you've seen what happens when a colleague tries to use ChatGPT prompts built for residential. It's ugly. "Write a listing description for a charming 3-bedroom home" doesn't help you write an offering memorandum for a 47,000 SF multi-tenant retail strip with ground-lease issues. Residential and commercial are different businesses, different languages, different buyers.

Below are 24 prompts built specifically for commercial real estate: investment sales, tenant rep, landlord rep, office leasing, industrial, retail, and multifamily brokerage. Offering memoranda, BOVs, LOIs, market reports, investor outreach, CAM reconciliation explainers, NNN lease summaries. Copy, paste, close deals faster.

Full 250+ CRE prompt library lives in the Real Estate Agents category on PromptLab.

Why Commercial Brokers Need Different Prompts Than Residential Agents

Three structural differences that matter:

1. Buyers are sophisticated. A residential buyer wants "warm, inviting, dream home" language. A commercial buyer wants cap rate, NOI, rent roll, T-12, tenant credit. AI prompts written for residential consistently underperform in CRE because the tone is wrong.
2. Documents are longer. An OM is 20-50 pages. A BOV package is 15-30 pages. ChatGPT loses coherence past 8-10 pages, which is why Claude Opus 4.7 is often better for long-form CRE documents (covered below).
3. Terminology is specific. Every CRE deal has its own vocabulary: NNN, LOI, LOX, SNDA, ROFR, ROFO, estoppel, CAM, OpEx pass-throughs, base year, BOMA measurement. Generic AI writes around these terms instead of using them correctly.

Three rules before using any of these prompts:

1. Never paste signed LOIs, rent rolls with tenant names, or deal-specific NDAs into free-tier ChatGPT. Use ChatGPT Team, Claude for Work, or your firm's internal AI for anything NDA-governed.
2. Always verify numbers and dates in AI output. ChatGPT confidently fabricates cap rates, comps, and occupancy stats. Every number needs to be verified against source data before sending.
3. For OMs and long documents, use Claude Opus 4.7. For outreach and emails, use ChatGPT 5. Match the model to the length.

Now the prompts.

Part 1: Offering Memorandum & BOV Prompts (Prompts 1–6)

Prompt 1: Offering memorandum executive summary

You are a senior commercial real estate broker writing the executive summary of an offering memorandum.

Property details:
- Asset type: [office / retail / industrial / multifamily / mixed-use]
- Address: [city, state — street optional]
- Building size: [RSF or GSF]
- Land size: [acres or SF]
- Year built / renovated: [years]
- Occupancy: [% leased]
- Major tenants: [names, % of RSF, WALT]
- Asking price: $[amount] ([$/SF or per-unit])
- Cap rate: [%] on in-place NOI
- NOI (in-place): $[amount]
- T-12 NOI: $[amount]
- Proforma NOI: $[amount]
- Key investment thesis: [value-add / core / core-plus / opportunistic]

Write a 400-word executive summary that includes:
- Opening hook (what makes this opportunity compelling in 2 sentences)
- Property and market overview
- Tenant quality / lease structure highlights
- Value creation opportunities (if applicable)
- Return profile summary

Tone: investment-grade, specific, no promotional fluff. Readers are principals and asset managers.

Prompt 2: BOV (Broker Opinion of Value) executive summary

Write the executive summary for a Broker Opinion of Value (BOV).

Property: [address, type, size]
Owner: [name or "the ownership"]
Opinion of value: $[low] to $[high]
Per-SF or per-unit: $[X]
Implied cap rate range: [X% to Y%]
Methodology: [sales comp, income approach, replacement cost, or blend]
Market context: [tightening / loosening, current supply/demand dynamics]

The summary should:
- State the opinion of value range clearly in the first paragraph
- Name the 3-5 comps used (with dates and per-SF)
- Explain the cap rate rationale tied to recent comparable transactions
- Note 2-3 factors that could push the range up or down
- Close with next steps (listing timeline, marketing strategy, target buyer pool)

Tone: confident but appropriately hedged. You're giving an opinion, not a guarantee.
Max 600 words.

Prompt 3: Property investment highlights (OM bullet section)

Write the "Investment Highlights" section of an OM for a [asset type] property.

Property details: [location, size, tenant mix, in-place NOI, remaining term on major leases]
Market: [submarket name, recent dynamics — vacancy rate, absorption, rental rate growth]
Upside: [specific value-add or growth angles — e.g., below-market rents, lease-up of vacancy, 
  repositioning, CapEx plan]

Produce 6-8 investment highlight bullets. Each bullet should:
- Open with a bold 3-6 word headline
- Back it with 1-2 sentences of specific support (numbers, context)
- Focus on investor-relevant points (not marketing fluff)

Example format:
**Below-Market In-Place Rents.** Weighted average in-place rent of $[X]/SF is 18% below the Q1 2026 
submarket average of $[Y]/SF per Costar, providing mark-to-market upside of approximately $[Z] 
annually as leases roll through 2028.

Prompt 4: Property description (OM narrative)

Write the property description section of an offering memorandum.

Property:
- Address: [full address]
- Type: [office / retail / etc.]
- Building specs: [year built, year renovated, stories, construction type, parking ratio]
- Size: [RSF, GSF, LSF, unit count if MF]
- Zoning: [current zoning designation]
- Access: [highway, mass transit, airport]
- Amenities: [list]
- Notable features: [LEED, historic designation, dock doors, drive-through, signage]

Produce 400-500 words describing the property factually and compellingly. Follow the structure:
- Opening paragraph: property at a glance
- Physical description (building + improvements)
- Site description (land, parking, access)
- Area context (immediate submarket characteristics)

No promotional language. Let the specs speak.

Prompt 5: Rent roll summary

Summarize a rent roll for an OM reader who will spend 90 seconds on this page.

Rent roll data: [tenant names, suite, RSF, % of total, in-place rent/SF, lease start, lease expiration, 
  renewal options, CAM pass-through type]

Output a table with columns:
- Tenant
- Industry/Use
- RSF (% of total)
- In-Place Rent ($/SF or $/month)
- Market Rent Comparison (below / at / above market)
- Term Remaining (months)
- Rollover Risk (low/medium/high with 1-line rationale)

Below the table, write 2-3 paragraphs of observations:
- Concentration risk (tenant, industry)
- Weighted average lease term (WALT) and implications
- Rollover schedule over next 3 years
- Credit quality of top tenants

Prompt 6: Financial analysis narrative (T-12, underwriting)

Write the financial analysis narrative for an OM.

Inputs:
- T-12 revenue: $[amount], expenses: $[amount], NOI: $[amount]
- In-place NOI (as of effective date): $[amount]
- Proforma Year 1 NOI: $[amount]
- Major variance drivers: [e.g., one-time CapEx, lease-up, rate increases, real estate tax reassessment]

The narrative should:
- Walk the reader from T-12 to in-place to proforma Year 1
- Explain each major line-item variance
- Note unusual items and whether they're recurring
- Identify revenue and expense assumptions that could move the underwriting
- Reference which of the OM's exhibits back up each figure

Tone: analyst-to-analyst. No hand-waving on assumptions.

Part 2: Tenant Rep & Leasing Prompts (Prompts 7–11)

Prompt 7: Tenant LOI for office/industrial lease

Draft a Letter of Intent (LOI) for a tenant representing [tenant company name, size, industry] 
proposing to lease [X,XXX RSF / square feet] in [property name/address].

Key proposed terms:
- Size: [RSF]
- Term: [X years]
- Base rent: $[X/SF] full-service gross / NNN / modified gross
- Rent escalations: [X% annually / every X years / CPI]
- Free rent: [X months abated]
- TI allowance: $[X/RSF]
- Renewal option: [one X-year option at FMV / fixed]
- Expansion right / ROFR: [yes/no, specifics]
- Parking: [ratio]
- Security deposit: [months]

The LOI should:
- Open with the proposed tenant and proposed premises
- List all economic and key non-economic terms cleanly
- Note standard contingencies (board approval, landlord's lender approval, completion of due diligence)
- Include 72-hour response expectation
- End with "subject to a mutually acceptable lease agreement" language

Professional tone. This becomes the backbone of the actual lease negotiation.

Prompt 8: Tenant rep proposal comparison summary

Compare three proposed lease deals for a tenant and write a 1-page recommendation memo.

Deals under consideration:
- Deal A: [address, RSF, term, base rent, TI, free rent, concessions, total occupancy cost]
- Deal B: [same structure]
- Deal C: [same structure]

Tenant priorities: [e.g., lowest year-1 cost, best long-term flexibility, specific amenities, 
  location criteria]

The memo should:
- Open with a recommendation in the first sentence
- Present a side-by-side comparison table of economic terms
- Calculate net effective rent for each deal
- Note the non-economic differences (building amenities, landlord quality, submarket dynamics)
- Justify the recommendation against the tenant's stated priorities
- Close with next steps (submit counter-LOI, request tour, etc.)

Written for a decision-maker (CFO / Head of Real Estate / CEO depending on tenant size).

Prompt 9: Landlord rep stacking plan summary

Summarize the stacking plan for a multi-tenant [office / retail] building.

Building: [address, RSF, # floors, current leased %]
Current tenant mix: [list by floor or by percentage — industry, size, lease expiration]
Vacancy: [X SF available, on floors X and Y]
Upcoming expirations (next 24 months): [list tenants, SF, expiration dates]

Produce:
- A 2-paragraph narrative on the building's current leasing position
- Identified risks (large expirations, concentration, below-market in-place rents)
- Identified opportunities (leaseup of vacancy, rollover to higher rents, tenant upgrades)
- Recommended leasing strategy for the next 12 months

Prompt 10: Renewal negotiation prep brief (for landlord rep or tenant rep)

Prepare a renewal negotiation brief for a lease expiring in [X months].

Context:
- Tenant: [name, industry, credit quality]
- Current premises: [RSF, floor, suite]
- Current rent: [$/SF, type (NNN / gross / MG)]
- Current market rent for comparable space: [$/SF]
- Tenant's known pain points: [e.g., parking issues, HVAC complaints, growth constraints]
- Landlord's position: [hold rent, push rent, lose tenant, specific ownership goals]

The brief should include:
- Tenant retention vs. replacement analysis (cost comparison)
- Market intel (comparable competing space available at what rent)
- Negotiating leverage for each side
- Recommended opening position with rationale
- Fallback positions (BATNA analysis)
- Talking points for the next meeting

Written for the rep to prep before the call. 600 words max.

Prompt 11: NNN lease CAM explanation for a tenant

Write a plain-English explanation of a triple-net (NNN) lease's operating expense and CAM structure 
for a prospective tenant.

Specific lease: [property name]
Structure: [NNN with base year / NNN with expense stop / pure NNN]
Base year: [year or N/A]
Current OpEx: [$/SF]
Current CAM: [$/SF]
What's included: [real estate taxes, insurance, common area utilities, maintenance, management fee, 
  capital reserve, admin fee]
What's excluded: [e.g., capital replacements over threshold, landlord's corporate expenses, tenant-
  specific utilities]

Write a 400-word explanation that:
- Defines NNN in one sentence a non-real estate person can understand
- Walks through each pass-through cost category
- Explains the base year or stop mechanism (if applicable)
- Notes what the tenant pays annually (base rent + NNN = total)
- Flags what to watch for at reconciliation time

Written for a tenant who is seeing a commercial lease for the first time.

Part 3: Investor & Buyer Outreach Prompts (Prompts 12–16)

Prompt 12: Cold investor outreach email (active listing)

Write a cold outreach email to a commercial real estate investor for an active listing.

Property: [type, location, price, cap rate, one defining feature]
Investor profile: [e.g., family office focused on Sun Belt multifamily, private equity firm targeting 
  value-add retail, individual 1031 buyer]
Our known connection: [past deal together / referred by / no prior contact]

The email should:
- Open with relevance (why this opportunity fits their known mandate)
- Summarize the deal in 4-5 lines (price, cap, NOI, thesis, timeline)
- Attach a teaser (not the full OM yet)
- Make it easy to opt-in: "If the thesis interests you, I'll send the full OM after CA execution"
- Close with a meeting offer or call request

Under 180 words. Written for a sophisticated buyer, not a beginner.

Prompt 13: 1031 exchange buyer alert

Write an email to 1031 exchange buyers currently in identification windows alerting them to a 
property.

Property: [type, location, price, cap rate, asset summary]
Buyer pool: [known 1031 exchange buyers in your database]

The email should:
- Lead with the 1031-relevant specifics (stabilized, in-place NOI, limited CapEx needs)
- Include the timeline alignment (can close by X date)
- Specify what's included in the deal (assignable contract, clean title, known seller motivation)
- Close with a clear action: request OM, tour, LOI

Keep it tight — these buyers are time-pressured. Under 150 words.

Prompt 14: Investor update on a deal in progress

Write an investor update email for a deal currently in contract.

Deal: [property, contract price, closing date]
Status: [due diligence phase, financing phase, waiting on lender, negotiation of reps]
Issues resolved: [list]
Issues outstanding: [list]
Next key dates: [milestones]

The update should:
- Lead with the summary ("Status: on track to close [date]")
- Walk through diligence findings and how they were addressed
- Flag any open items honestly
- Confirm financing and equity are locked in
- Close with next update cadence (weekly call, email Fridays, etc.)

Tone: competent and transparent. Investors hate surprises. Address risks proactively.

Prompt 15: Buyer rejection of a listing — respectful response

Write a response to a prospective buyer who has declined our listing after touring.

Their stated reason: [price too high / wrong asset / location / lease rollover risk / other]

The response should:
- Thank them for their time and consideration
- Ask one specific question to learn more (what price would have worked, what asset would fit, when 
  might they revisit)
- Keep the relationship warm for future listings
- NOT argue against their reason or defend the pricing
- Offer to add them to a buyer list for matching future opportunities

Under 130 words. Professional, not sycophantic.

Prompt 16: Off-market listing solicitation (to a property owner)

Write a cold email to an owner of a commercial property we want to list.

Property: [address, type, size, our estimate of value]
Owner profile: [individual owner, LLC, family ownership — what we know]
Our angle: [we have active buyers looking for this exact asset / recent comp supports current pricing / 
  specific market dynamic makes now the right time]

The email should:
- Open with specificity (reference the property address, not a generic "I'd like to discuss your 
  portfolio")
- Mention one recent comparable transaction to establish market context
- State why now is the right moment to explore a sale
- Offer a no-obligation BOV as the first step
- Close with a call/meeting offer

Under 180 words. Confident but not pushy. Owners get 50 of these emails a quarter.

Part 4: Market Intel & Research Prompts (Prompts 17–20)

Prompt 17: Quarterly submarket report

Write a quarterly submarket report for [submarket name, asset class — e.g., "Class A office in 
Charlotte SouthPark"].

Data inputs:
- Vacancy rate: [% current vs. prior quarter]
- Net absorption: [SF this quarter]
- New supply delivered: [SF]
- Under construction: [SF]
- Direct asking rent: [$/SF full service or NNN]
- Sales transaction volume: [# deals, $ volume]
- Average cap rate on sales: [%]
- Notable deals: [list 3-5 with brief facts]

Produce a 600-word report including:
- Executive summary (3-4 bullet takeaways)
- Leasing market section
- Investment sales section
- Construction pipeline
- Outlook paragraph

Data presentation: reference specific numbers throughout, not vague adjectives. Written for 
institutional investors and local owners.

Prompt 18: Competitive set analysis

Generate a competitive set analysis for a specific property.

Subject property: [address, type, size, occupancy, rent]
Comp set: [5-7 comparable properties with their address, size, occupancy, asking rents, amenities]

Produce:
- A comparison table (subject vs. comps on key metrics)
- A 200-word narrative identifying where the subject is positioned (premium / at market / value)
- Specific recommendations on pricing, concessions, or positioning based on the comp set
- Note 2-3 subject-property advantages and 2-3 disadvantages vs. the comp set

Written for an owner deciding how to position their building.

Prompt 19: CoStar / competitor data interpretation

I'm pulling market data from [CoStar / Real Capital Analytics / Reis / LoopNet] on [submarket]. 

Raw data summary: [paste key numbers — vacancy, absorption, rent, deliveries, sales, cap rate]

Interpret this data and tell me:
- What story does the data tell about the submarket?
- What are the 2-3 most important data points a local owner should know?
- What trends over the past 4-6 quarters matter most?
- What should I be watching over the next 2-3 quarters?
- Any data points that seem anomalous or should be double-checked?

Output: 400-word analyst memo. Actionable, not academic.

Prompt 20: Client-facing market snapshot email

Write a monthly market snapshot email to a list of CRE clients (owners and investors).

This month's data:
- Submarket highlights: [list]
- Notable transactions: [list]
- Noteworthy leases: [list]
- Economic indicators: [local employment, interest rate moves, submarket-specific drivers]

The email should:
- Subject line that compels opening (specific, not generic)
- Preheader under 90 characters
- 3-4 short sections with bold headlines
- One or two charts or images suggested
- A soft CTA: reply for a custom analysis on your property
- Signature + contact block

Keep it skimmable. Busy owners will scan, not read.

Part 5: Internal Ops Prompts (Prompts 21–24)

Prompt 21: Deal team kickoff brief

Write a deal team kickoff brief for a new listing assignment.

Property: [details]
Owner: [name, goals, timeline]
Our team: [lead broker, analyst, marketing, admin]
Timeline: [key milestones — OM launch, tour schedule, offer deadline, close target]

The brief should:
- Summarize the property and opportunity in one paragraph
- List each team member's responsibilities
- Set key dates
- Flag known risks or sensitivities with the owner
- Define success criteria

Written as an internal Slack/Teams post or brief memo. Crisp and specific.

Prompt 22: Pipeline review template (weekly/monthly)

Generate a CRE broker pipeline review template.

Sections needed:
- Listings (active, upcoming, expired)
- Buyer representations (active, in diligence, in contract)
- Prospective pursuits (OM in review, BOV requested, cold outreach in progress)
- Closed deals (MTD, QTD, YTD)
- Leading indicators (tours completed, LOIs out, inquiries)

Output a fillable template structure with default columns and examples. Also include a weekly review 
protocol (5 minutes per deal, questions to ask, decision gates).

Prompt 23: Tour follow-up email (post-tour, prospect to client)

Write a tour follow-up email to a prospective buyer/tenant after a property tour.

Tour details: [property, date, prospect name, what they said they liked, what they flagged as concerns]

The email should:
- Thank them for their time (briefly, not sycophantically)
- Recap 2-3 specific things that stood out during the tour (shows you were listening)
- Address their stated concerns with real information or next-step actions
- Propose a specific next step (LOI, second tour, financial pro forma, comparable inventory)
- Close with timing

Under 180 words. Specific to the tour, not generic.

Prompt 24: New broker onboarding SOP

Write a first-90-day onboarding SOP for a new commercial real estate broker at a mid-size firm.

New broker background: [experienced / entry-level, specialization, prior firm]

The SOP should cover:
- Week 1: firm orientation, systems access, team introductions
- Weeks 2-4: market immersion (reading, tours, comp deep-dives)
- Weeks 5-8: shadowing deals, pitching support, database building
- Weeks 9-12: independent pursuits with senior broker review
- 90-day review: performance evaluation, pipeline assessment, goals for next 90 days

For each phase include:
- Expected activities
- Deliverables
- Knowledge/skill benchmarks
- Support from the team

Format: structured SOP document. Specific, not aspirational.

ChatGPT vs. Claude vs. Gemini for Commercial Real Estate

Here's the practical breakdown for CRE work:

Most CRE brokers should run ChatGPT Plus + Claude Pro in parallel. Total: $40/month. Returns the investment in a single saved hour per week.

For more role-specific prompt variants including niche specializations like hospitality, self-storage, and medical office, browse the Real Estate Agents library.

Frequently Asked Questions

Q: Can ChatGPT actually write a good OM? ChatGPT writes a decent draft if the prompt includes specific data. It cannot invent numbers, comps, or market intel — garbage in, garbage out. For institutional OMs (50+ pages), Claude Opus 4.7 is a better tool because it maintains coherence across longer docs.

Q: Is it safe to paste rent rolls or T-12s into ChatGPT? Never into free-tier ChatGPT. Use ChatGPT Team/Enterprise with zero-retention settings or Claude for Work. If the data is NDA-protected, check your NDA wording — some prohibit AI tools explicitly.

Q: Will buyers/sellers know I used AI to write the OM? If you edit it, no. If you ship the AI output raw, yes — institutional buyers read hundreds of OMs and can spot AI tells (repetitive structure, generic adjectives, formatting patterns). The fix is 45 minutes of editing to add your voice, your insight, and your market read.

Q: Can AI build pro formas or underwriting models? Limited today. AI can draft narrative sections of underwriting and suggest assumptions, but you still need Excel/Google Sheets with your firm's models for the actual math. Gemini is closest to true spreadsheet reasoning.

Q: What's the biggest mistake CRE brokers make with ChatGPT? Using it for deal-specific facts. ChatGPT will invent cap rates, submarket vacancy numbers, and comp transactions that don't exist. Use AI for drafting around verified data, not to source the data itself.

Q: How do I train ChatGPT on my firm's voice and OM template? Build a Custom GPT (ChatGPT Team) or Claude Project. Upload 3-5 of your best OMs, your firm's style guide, and your typical deal types. Prompt against that project. Output quality improves dramatically.

Q: Can AI help with cold calling scripts for CRE? Yes, though CRE cold calling is relationship-heavy — scripts are scaffolding, not substitute for preparation. The prompts above cover outreach emails and discovery call openers. For actual call scripts, the Sales & Outreach library has more.

Related Prompt Libraries for Commercial Real Estate

• Real Estate Agents prompts — OMs, BOVs, leasing, investment sales
• Sales & Outreach prompts — cold email, follow-up, objection handling
• Marketing prompts — property websites, case studies, ad copy
• Content Creation prompts — market reports, newsletters, thought leadership
• Business Automation prompts — CRM workflows, deal pipeline automation
• Finance prompts — underwriting narratives, financial modeling
• Legal & Contracts prompts — LOI and lease draft review
• Productivity prompts — deal tracking, team management
• HR & Recruiting prompts — broker recruitment, analyst hiring
• Model-Specific prompts — Claude and Gemini variants for long-form CRE

Browse the full PromptLab library for CRE-specific prompts across every asset class.