Ed 
Before I walk into a listing appointment, I run seven Claude prompts against the live Austin MLS, and the whole thing takes me about ten minutes. Not Zillow numbers. Not “the market is hot” hand-waving. Real comps, real days on market, real active competition, pulled from the actual MLS feed the same morning I am sitting at someone’s kitchen table. Sounds like a lot of prep right. It used to take me two hours and a legal pad. Now it is ten minutes and a cup of coffee.
I am Ed Neuhaus. I am a broker, I have been selling homes in Austin for 19 years, and a while back I got tired of AI tools confidently making up sold prices that never happened. So I built a connector that wires Claude into the live Austin-area MLS. If you want the technical version of how that works, I wrote it up over at the connector launch post, and the free setup lives at the Austin MLS connector hub. The short version: without the connector, Claude has no idea what just sold on your street and it will guess. With it, Claude queries the real MLS and returns real numbers. Everything below assumes you have it installed (about four minutes), because otherwise these prompts return fiction.
One thing up front so nobody misreads me. Claude does not set the price. I set the price. Claude pulls the data, organizes it, and hands me a clean read so I can walk in knowing more than I used to know after two hours of digging. The judgment is still mine. The reality is most of a listing appointment is just having the right facts in front of you, and that part Claude does beautifully.
So here is the actual list. Seven prompts, in the order I run them. For each one I will tell you why it matters and what I am actually looking for in the answer. These are agent-side prompts, a little different from the general buyer-and-seller set I put in the 10 prompts post. This is the pre-listing routine specifically.
1. The Tight Comp Pull
“Pull comps for a 4-bed, 3-bath, 2,800 square foot home at [SUBJECT ADDRESS]. Use a half-mile radius. Show me closings from the last 90 days between 2,500 and 3,100 square feet. For each, give me close price, original list price, days on market, price per square foot, and seller concessions if available. Sort by close date, most recent first.”
Why it matters: This is the foundation of the whole appointment. Everything else builds on it. If my comps are sloppy, my pricing conversation is sloppy, and a sloppy pricing conversation is how a house sits for 90 days and then sells for less than it should have. I wrote a whole post on that exact mistake (the $345,000 lesson) so I will not relitigate it here, but overpricing is the single most expensive thing a seller can do.
What I am looking for: The gap between original list price and close price. That number tells me whether the neighborhood is pricing right out of the gate or chasing the market down. If I see three comps that all closed 6 to 8 percent under their original list, that is a neighborhood where sellers came in too high, and I need to have that talk before we set a number. I also watch price per square foot as a sanity check, not as gospel. A tight radius and a tight square footage band matter here because Austin can swing 30 percent in price across a single mile. Comps need to be real peers. If you want the faster version of just this step, I broke it out in how to get real Austin comps in 30 seconds.
2. The Recent Neighborhood Sales Sweep
“Show me everything that has sold in [SUBDIVISION or zip code] in the last 6 months, any size, any price. Give me address, beds, baths, square feet, close price, and days on market. I want the full picture, not just homes matching my subject property.”
Why it matters: The tight comp pull tells me what my seller’s specific house is worth. This one tells me the story of the whole neighborhood. They are different questions and I need both. A seller does not just want to know their number, they want to understand the street they live on, and frankly so do I before I start making claims at their kitchen table.
What I am looking for: Volume and spread. How many homes actually traded? Three sales in six months is a thin market, and thin markets behave differently than busy ones (a single weird sale moves the whole average). I am also scanning for the outliers. The one that sold way high usually had a renovation or a view. The one that sold way low was usually distressed or dated. Knowing which is which keeps me from getting fooled by an average. Daniel Kahneman has this whole thing about how a single vivid number anchors your judgment without you noticing, and comps are exactly where that happens to agents who are not paying attention.
3. The Days-on-Market Trend Read
“For [zip code or subdivision], compare median days on market for closings in the last 30 days versus the prior 90 days. Is it speeding up or slowing down? Also tell me the median for this same period last year if you have it.”
Why it matters: Price is one lever. Time is the other, and most sellers only think about the first one. Days on market is the market whispering to you about whether buyers are moving fast or sitting on their hands. And it changes faster than people think. A neighborhood that was selling in 9 days in March can be sitting at 40 days by June, and if I price like it is still March, I have done my seller a disservice.
What I am looking for: Direction, not just the number. If days on market is climbing, that is a slowing market, and a slowing market punishes ambitious pricing hard. If it is dropping, we have a little more room to test the top of the range. I bring this trend straight into the pricing conversation because it is the part sellers almost never have data on. They have a feeling about the market. I want to show them the actual curve.
4. The Active Competition Check
“Pull all active listings within one mile of [SUBJECT ADDRESS] that are roughly 3 to 5 beds and 2,400 to 3,200 square feet. For each one give me list price, days on market, price per square foot, and any price reductions. This is my seller’s competition. Tell me which ones are priced to move and which ones are sitting.”
Why it matters: Here is the thing almost everybody gets backwards. Sellers obsess over what sold. But buyers do not shop the sold list, they shop the active list. When a buyer tours my listing on Saturday, they also toured three other houses that weekend, and those three houses are my competition, not the place that closed last month. You are not competing with history. You are competing with whatever is sitting on the market alongside you right now.
What I am looking for: The listings that have been sitting and the ones that have already cut their price. Those are my seller’s real competitive landscape. If there are four overpriced homes rotting on the market nearby, that is actually an opportunity (price right and we are the obvious choice). If everything comparable is priced sharp and moving, I know we have to be sharp too. Either way, I want to walk in able to say “here is exactly who you are up against this weekend,” because that is a conversation no other agent at the appointment is having.
5. The Buyer-Demand Signal Scan
“In [zip code], over the last 60 days, what percentage of closed sales went over original list price versus under? What is the median sale-to-list price ratio? And how many price reductions are happening on active listings right now relative to new listings coming on?”
Why it matters: Days on market tells me how fast. This tells me how hungry. Sale-to-list ratio and the rate of price cuts are about the cleanest read on buyer demand I can get without sitting in open houses all weekend. When homes are closing over list, buyers are competing. When half the active inventory is slashing prices, buyers are in control and they know it.
What I am looking for: A coherent picture, and I am suspicious when the signals disagree. If sale-to-list is strong but price reductions are piling up, that usually means the well-priced homes are flying and the overpriced ones are stuck, which is the most common pattern I see in Austin right now. That single insight reframes the whole appointment. The market is not “slow,” it is picky. Priced right, your house still moves. Priced on hope, it sits. No big deal once you see it laid out right, but you cannot see it without the data.
6. The Seller-Prep Talking Points Build
“Based on the comps and active competition we just pulled, give me a short list of the specific features that are showing up in the homes selling fastest and highest in this neighborhood. Updated kitchens, primary down, pool, three-car garage, whatever the data suggests. Then flag what a seller in this area would most likely need to address before listing.”
Why it matters: This is where the appointment turns from “here is your number” into “here is your plan.” Sellers do not just want a price, they want to know what to do this week to hit it. And the honest answer changes by neighborhood. In one part of Lakeway the pool is everything. Two miles away nobody cares about the pool and it is all about the kitchen. The data tells you which is which instead of me just guessing based on the last house I sold.
What I am looking for: The two or three moves that actually move the needle, and just as important, the stuff that does not. I am not going to tell a seller to drop 40 grand on a remodel that the comps say returns nothing. That is how you lose trust. Sometimes the honest talking point is “do not spend the money, the market is not paying for it here, put it into staging and paint instead.” I would rather tell a seller that and be right than sell them a project that does not pay off. Robert Cialdini wrote that trust gets built in the moments you argue against your own interest, and listing prep is full of those moments if you are paying attention.
7. The Competitive Listings Strategy Read
“Put it all together. Given the comps, the active competition, the days-on-market trend, and the demand signals for [SUBJECT ADDRESS], lay out three pricing scenarios: aggressive, market, and conservative. For each, estimate likely days on market and the trade-offs. Be honest about which one fits current conditions best.”
Why it matters: Everything from the first six prompts rolls up into this one. By the time I run it, Claude has all the context loaded, so it can hand me a clean three-scenario framework instead of a single take-it-or-leave-it number. And sellers think in scenarios. Nobody wants to be told “the price is X.” They want to understand the choices and the consequences, and then make the call themselves. My job is to lay out the tradeoffs honestly, not to bully somebody into a number.
What I am looking for: Whether the three scenarios actually have meaningfully different outcomes, because sometimes they do not. In a strong, fast market the aggressive and market prices land in almost the same place and conservative is just leaving money on the table. In a slow market the gap between them is huge and getting it wrong by 5 percent can mean an extra two months on the market. I bring all three to the table, I tell the seller which one I would pick and why, and then it is their house and their decision. If you want the deeper version of this pricing logic on its own, I laid it out in my 2026 Austin seller pricing strategy.
So Does the AI Run the Appointment?
No. And I want to be careful here because there is a lot of hype flying around about AI replacing agents. Claude does not walk the house. It does not notice the foundation crack the seller painted over, or read the room when a couple disagrees about the price, or know that the buyer pool for this particular street skews toward families who care about the elementary zoning. That is the job. That is 19 years of doing this. The data gets me to the kitchen table smarter. The actual selling is still a person thing.
What changed is the prep. I used to spend two hours pulling this stuff by hand, and honestly I sometimes cut corners when I was busy, which meant I occasionally walked in less prepared than I wanted to be. Now I run seven prompts, it takes ten minutes, and I never walk in cold. That is the real story here. Not “AI sells houses.” More like, AI does the homework so the human can do the work. If you are an agent and you want to see how I use this stuff beyond just listing prep, I put more of it in AI for realtors: 7 ways to use Claude beyond the chat box.
Frequently Asked Questions
Want to Talk Through Your Listing?
If you are thinking about selling in the Austin area and you want someone who walks in with the real numbers instead of a guess, lets talk. At Neuhaus Realty Group this is exactly how we prep every listing appointment, and I am happy to show you what your house actually looks like against the current market. Reach out through our contact page or call the office at (512) 366-3270 and we will set up a time.
