AI for your role

AI for Commercial Real Estate Brokers

Spend less time building the pitch book and more time working the deal.

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The shift

How AI is changing the Commercial Real Estate Broker role

In 2026, AI drafts your offering memoranda, summarizes 80-page leases into the clauses that matter, builds first-pass underwriting from a rent roll, and keeps your prospecting pipeline warm with tailored follow-ups. It's fast at the paperwork and pattern-matching that used to eat your evenings. What it can't do is walk a building, read the room in a negotiation, or know which landlord will actually move on free rent - the relationships, judgment, and market feel that close deals stay yours.

What AI can take off your plate

  • Draft offering memoranda and proposal narratives from your deal facts and comps
  • Summarize long leases, LOIs, and estoppels into a plain-English clause-by-clause brief
  • Build a first-pass underwriting model from a rent roll and operating statement (NOI, cap rate, expense ratios)
  • Turn raw comp data into a clean market survey and rent/sale comparison table
  • Write and personalize prospecting emails, cold-call scripts, and follow-up sequences at scale

What stays distinctly human

  • Reading a negotiation and knowing when to push, pause, or walk
  • Physically touring space and judging condition, location, and true rentable feel
  • Sourcing off-market deals through relationships no database contains
  • Advising a client on the risk they can live with, not just the numbers
  • Standing behind your valuation and comp selection when a principal challenges it
Tools

Five AI tools for Commercial Real Estate Brokers

ChatGPT
Paste in a lease or rent roll and get a clause summary or first-draft underwriting outline in minutes - then check every figure yourself.
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Claude
Strong with long documents - feed it a full OM or a stack of leases and it holds the detail across the whole file for summaries and comparisons.
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Perplexity
Fast for pulling recent market reports, submarket vacancy, and tenant news with source links you can click through and verify.
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CoreLogic
Property records, ownership, and market data to ground your comps and cross-check what an AI draft hands you.
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Follow Up Boss
CRM that keeps prospecting and follow-up organized so AI-drafted outreach actually gets sent and tracked.
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Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Underwrite from a rent roll
You are helping a commercial real estate broker. Here is a rent roll and trailing-12 operating statement for a [property type] property: [paste data]. Build a first-pass underwriting summary: total in-place NOI, expense ratio, and implied cap rate at an asking price of [price]. List every assumption you made and flag any figures I need to verify against the actual documents. Do not fabricate missing numbers - tell me what's missing instead.
2. Summarize a lease
Summarize this commercial lease for a broker in plain English. Give me: term and renewal options, base rent and escalations, expense structure (NNN/gross/modified), TI allowance, free rent, assignment/sublease rights, and any unusual or landlord-favorable clauses. Quote the exact language for anything that could affect a deal. Lease follows: [paste lease].
3. Draft an OM section
Draft the [Investment Highlights / Location Overview / Tenant Overview] section of an offering memorandum for this asset: [property details, tenant mix, submarket, key numbers]. Tone: professional, confident, no hype or filler. Keep claims tied to the facts I gave you and leave a [bracket] anywhere you'd need a figure I didn't provide.
4. Build a comp survey
Turn these lease/sale comps into a clean comparison table for a market survey: [paste comps]. Columns: address, size (SF), rate ($/SF or price), lease/sale date, term, tenant/buyer, and notes. Then write a 3-4 sentence summary of what the comps suggest about market rent/pricing for a [property type] in [submarket]. Note any comp that looks like an outlier.
5. Prospecting sequence
Write a 3-touch outreach sequence to a [property owner / tenant rep / investor] about [opportunity or service]. Touch 1: short intro email. Touch 2: value-add follow-up referencing [market insight]. Touch 3: brief break-up note. Keep each under 120 words, professional, specific to commercial real estate, and easy to personalize with [name] and [property].
The playbook

Every AI play for Commercial Real Estate Brokers

The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.

✦  New tools, prompts, and tricks are added every week — and go straight to subscribers in their morning brief. Skip the scrolling and get yours delivered free. Get my free brief →
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A day in your inbox

This is the kind of brief a Commercial Real Estate Broker gets, every weekday morning.
Monday morning
✦ Personalized for: Commercial Real Estate Broker
Today's Tool
Lease abstract in 10 minutes
A tenant rep pastes a 60-page office lease into Claude and asks for a clause-by-clause abstract. In minutes she has term, escalations, expense structure, and a flag on a below-market renewal option - which she then confirms against the actual lease language before advising her client.
Today's Prompt
First-pass underwriting
A broker drops a rent roll and T-12 into ChatGPT with the underwriting prompt above and gets in-place NOI, expense ratio, and an implied cap rate, plus a list of assumptions. He rebuilds the key math in his own model before it ever goes in front of a seller.
Today's Trick
Make the AI show its work
Always ask the model to list its assumptions and flag missing data instead of guessing. AI will happily invent a plausible expense number to fill a gap - forcing it to mark what it doesn't know turns a risky black box into a checkable draft.

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