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Listing appointment prep with AI

These cards cover what agents build before and during a listing appointment: a seller-ready comparative market analysis (CMA) from MLS exports, a private objection brief the sellers never see, a live net-sheet calculator for price scenarios, a pricing rebuttal from a reasoning model, and a listing presentation PDF built from a template while you drive to the appointment.

Run MLS searches and exports yourself when your MLS restricts automated access, check every comp and recommended price range against the live MLS before sellers see them, and keep private agent briefs out of anything you send the sellers.

One more workflow qualifies an incoming seller lead in HubSpot and uses Gemini to draft a CMA-lite from the property details you supply. Label that report as a broker price estimate where state rules require it. It is not an appraisal.

7 use cases on this hub.

Run a Claude CMA prep skill on two MLS exports to get a seller-ready CMA plus a private agent brief with the seller's likely objections and your answers

Jerad Larkin, an account executive at Chicago Title of Colorado, taught about 40 Denver agents a class called Get. Keep. Sell. and ran his CMA Prep skill live on an agent's real upcoming listing appointment. The agent gives the skill the property address and appointment date; the skill pulls public records and online estimates and asks the agent to confirm the facts, then interviews the agent about the sellers' timeline, motivation, and the price the sellers have in mind and where that number came from. The agent exports three to eight closed comps from the MLS, plus a second, wider export of the neighborhood over the last two years (closed, expired and withdrawn), in Full format so Claude gets roughly 400 columns, and drops both files into Claude. The output is a seller-ready CMA of about 15 to 16 pages (home details, market conditions, comps, pros and cons against the competition, and a recommended price range) and a private four-page agent brief, never shared with the seller, listing likely objections, the online-estimate anchor to talk the seller down from, and suggested answers backed by the neighborhood data. Larkin says one class CMA used about 300 MLS records against REcolorado's 500-record standard export allowance per rolling 30 days. Because REcolorado asks members to confirm they won't use AI to navigate the MLS, the agent runs the search and the export by hand and Claude only analyzes the files. Setup is the Claude desktop app on the Pro plan or higher, a brand kit, and a brain skill describing the agent.

Listings ClaudeClaude SkillsMLS export · Blog · Nov 2, 2026

Run one listing pricing question on a fast model and then a reasoning model to get a defensible price and the seller rebuttal

In Agent Intelligence issue #75, Matt Spangler takes a real listing appointment where the sellers want a number the comps don't support. The agent pastes the address, beds, baths, square footage, the sellers' number, and three closest comps (or an existing comparative market analysis) into ChatGPT or Claude and asks for a recommended price, the two strongest data points, the exact objection the sellers will raise, and a word-for-word answer. The agent runs the same prompt twice: first on the default model, then with the reasoning model and high effort turned on. Spangler reports the reasoning run weighs the spread between the comps and catches that the sellers are anchored high, while the default run gives a reasonable-sounding number.

Listings ChatGPTClaude · Newsletter · Aug 15, 2026

Turn your two best listing presentations into a reusable skill so every new deck starts in your format and voice

Agent Intelligence #85 by Matt Spangler is a 25-minute workflow for agents. Upload your two best past listing presentations as PDFs to ChatGPT Work (where OpenAI's GPT-6 Astra model runs on the Plus plan) and ask it to write a reusable skill: a name, when to use the skill, every section in order, what belongs in each section, and the writing rules your decks follow, including words you never use. On Claude Pro or Max the result is uploaded as a custom skill that loads by itself; on ChatGPT Plus or Pro it goes into a Project's instructions. Then paste the facts for a live listing and build the new deck from the skill, with an instruction to leave a bracketed blank wherever a fact is missing. Finish by replacing generic phrases with details only you know, such as which window gets the afternoon light.

Listings ChatGPTGPT-6 AstraClaude Skills · Newsletter · Sep 18, 2026

Questions

How do I prep a CMA and seller objections before a listing appointment?

Run two MLS exports by hand (three to eight closed comps, then the neighborhood closed, expired, and withdrawn listings for about two years), drop both files into a Claude CMA prep skill with the property address and appointment date, and get a seller-ready CMA plus a private four-page agent brief with likely objections and answers. Keep the private brief off anything you send the sellers. See Build a CMA and Private Objection Brief With a Claude Skill .

Should I use Claude or ChatGPT for a branded CMA?

In a side-by-side test of four weekly agent tasks, Claude produced the stronger branded CMA pieces, listing descriptions, and video scripts, while ChatGPT won on image generation. Run your next CMA summary prompt in both and keep the better output. See Branded CMA Reports: Claude vs ChatGPT Side-by-Side .

Can I run live net-sheet scenarios at the appointment?

Yes. One card builds a one-page seller net-sheet calculator in HTML and JavaScript so you can compare scenarios with sellers live, such as listing at one price and selling in a month versus a higher price and selling in three months. Enter compensation figures from the listing agreement; the output is an estimate only. See Live Seller Net Sheet Scenarios With a Claude Calculator .

How do I prepare answers to seller pricing objections?

Run one listing pricing question on a fast model and then a reasoning model to get a defensible price range and the seller rebuttal. Confirm every comp in the MLS; the recommended price is a draft talking point, not an appraisal. See Write a Listing Price Rebuttal Script With ChatGPT or Claude .

Can AI build the listing presentation while I drive to the appointment?

Hand Claude your listing presentation template plus CMA data and kick off the job from your phone through Claude Dispatch so the finished PDF (bio, comps, neighborhood snapshot, pricing strategy, marketing plan) is ready when you arrive. Use only numbers from the CMA file. See Listing Presentation PDF Built While You Drive (Claude) .

How do I keep every new listing deck in my format and voice?

Upload your two best past listing presentations as PDFs and ask the model to write a reusable skill that lists every section in order, what belongs in each section, and the writing rules your decks follow. Then paste the facts for a live listing and fill bracketed blanks yourself. See Turn Your Best Listing Presentations Into a Reusable AI Skill .

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