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AI Listing Desk - 7 Agents That Run Your Listing From Prospect to Close

7 pre-built AI agents for CRE sell-side brokers that win the listing and close it: prospect owners likely to sell, build the BOV, win the pitch, produce the OM, match buyers, score offers, and run escrow. Universal install in ChatGPT, Claude, Cursor, Gemini, Claude Code. Every agent ships with the Excel, Word, or PowerPoint artifact it produces, pre-filled with a real listing (Cedar Park 120, 120-unit value-add MF, Austin TX, brought to market at $26.5M).

NextAutomation

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AI Listing Desk - 7 Agents That Run Your Listing From Prospect to Close

for Real Estate

Prospector

Stop dialing the whole farm. Spend your prospecting hours on the owners actually likely to transact this cycle, with a reason to call already in hand.

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Sourcing, owner resolution, underwriting and documents. Choose your modules, configured around your firm.

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Includes 7 Production-Ready AI Agents Plus the Listing Playbook:

Prospector

Outcome: 500 owners narrowed to the 40 worth a call this quarter, each scored 0-100 on sell-likelihood with the one-line reason they'd pick up the phone

Stop dialing the whole farm. Spend your prospecting hours on the owners actually likely to transact this cycle, with a reason to call already in hand.

Valuation / BOV

Outcome: A defensible broker opinion of value in 20 minutes - sales and rent comps, a cap-rate bridge, and a low/guidance/stretch pricing range - the one that wins the listing in the lobby

Walk into the listing pitch with a sharper, faster, better-supported number than the other three brokers in the lobby.

Pitch Builder

Outcome: A tailored listing presentation - pricing thesis, marketing plan, buyer pool, track record, process, and the ask - built for that specific owner, not your generic deck

Show up to every listing pitch with a sharp, owner-specific presentation instead of a recycled template you tweaked in the car.

OM & Marketing

Outcome: The full on-market package - offering memorandum, launch email blast, 1-page teaser, and CA cover note - in an afternoon, not the week your analyst disappears into InDesign

Go on-market in an afternoon. Stop losing a week of marketing momentum to package production.

Buyer Matcher

Outcome: Your buyer database fit-scored and tiered, with the right ~30 buyers to call first (active mandates, 1031 clocks, prior closers) instead of a blast to 3,000

Get the listing in front of the right buyers first - the ones with an active mandate or a 1031 clock - instead of a generic blast that buries it.

Offer Desk

Outcome: Every bid scored side-by-side on price, terms, certainty, and speed-to-close, with a net-to-seller calc and a clear recommendation - so you advise toward the bid that actually closes, not just the biggest number

Advise your seller with a defensible, apples-to-apples comparison - and steer toward the bid that actually closes, not the highest number that falls out in week three.

Closer / TC

Outcome: An escrow timeline, a contingency and deadline tracker with red-flag alerts, a document chase list, and a daily next-actions list - so the deal doesn't die in escrow over a missed date

Keep every party ahead of the next deadline so the deal closes on time - the difference between a paid commission and a deal that craters in escrow.

You don't lose listings because you're a worse broker. You lose them at the pitch, to the broker who walked in with a sharper BOV and a buyer list already built. I rebuilt the entire desk - prospecting, valuation, pitch, OM, buyer matching, offers, close - as 7 AI agents that run in any AI tool you already use. Today I'm giving the whole pack away.

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AI Listing Desk - 7 Agents That Run Your Listing From Prospect to Close

What does an AI listing desk for CRE brokers include?

The AI Listing Desk is 7 specialized agents covering the full sell-side pipeline: a Prospector that scores 500 owners on sell-likelihood signals (hold period, loan maturity, rate-cap expiry), a Valuation/BOV agent that builds a defensible pricing range with sales and rent comps, a Pitch Builder, an OM and Marketing agent, a Buyer Matcher, an Offer Desk, and a Closer/TC agent that tracks every escrow deadline.

How does an AI agent build a broker opinion of value?

The Valuation/BOV agent pulls sales and rent comps with a HIGH/MED/LOW comparability score, builds the cap-rate bridge with low, guidance, and stretch pricing ranges, and frames an in-place versus pro-forma stabilized value story in a one-page BOV, clearly labeled as a broker opinion, not an appraisal.

Can AI help a broker match buyers to a listing?

Yes. The Buyer Matcher agent fit-scores and tiers a broker's entire buyer database against the listing's mandate, check size, geography, and 1031 clock, then builds a targeted call-first list of the 20–30 buyers most likely to transact, with personalized outreach drafts per tier and a CA/OM/tour status tracker.

Where AI changes the answer

Sell-side brokers historically win listings with better relationships, not better analytics. AI flips the edge: the Prospector scores an entire farm on debt maturity and ownership signals overnight, the BOV agent produces a defensible pricing range faster than the competition can pull comps manually, and the Buyer Matcher targets active-mandate buyers before a competitor's blast reaches a cold list.

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