How to Get Real Austin Real Estate Comps from Claude in 30 Seconds

“Pull comps for 3-bed, 2-bath homes within half a mile of 1234 Main Street that closed in the last 90 days.” 30 seconds later Claude returns a list of real Austin closings. Real addresses, real close prices, real days on market, real seller concessions. Pulled live from the Austin MLS. No Zestimate guessing, no “experts predict,” no $300 appraiser quote.

That’s real Austin real estate comps from Claude, in roughly half a minute, for free, once you’ve installed the free Austin MLS connector. I’m Ed Neuhaus, I’m a broker here, I’ve been selling Austin homes for 19 years, and getting comp data this fast still feels weird to me. Lets walk through how it works.

What Real Austin Comps Actually Are

Before we get into the AI part. A real estate comp (short for “comparable”) is a closed sale of a similar property near yours, used to estimate market value. Realtors pull comps for sellers (to price a listing), for buyers (to know if an offer is fair), and for investors (to model exits). The keyword in that sentence is closed. Not listed. Not “asking.” Closed.

Why does that matter so much? Because list prices are aspirational and close prices are factual. A house listed at $850K that’s been sitting 90 days at $850K does not mean $850K is the market value. The market is screaming at that seller. The market value is whatever the next house in that pocket actually closes for. A real comp tells you what really happened. A Zestimate tells you a robot’s opinion.

The reality is most public sites only show you a slice of the data. They might show address and close price but skip the seller concessions, the financing type, the original list price, or the days on market. All of that matters for understanding the comp. Closed at $750K with $15K in concessions is really $735K net. Closed cash in 7 days is a different signal than closed FHA at 60 days. Same number on the outside, totally different stories.

Where People Used to Get Austin Comps

For most of the last 20 years, your options for getting Austin comps were ugly.

Option one, ask a realtor to pull them. Free if the realtor likes you. Takes a day or two. Comes back as a PDF with 5 to 10 comps. Quality depends entirely on which realtor and how hard they actually looked.

Option two, look at Zillow’s “recently sold.” Public data, partial, biased toward the houses Zillow has the most data on, with a Zestimate stacked on top that Zillow itself admits is sometimes wrong by several percent. It’s a starting point, not a comp report.

Option three, hire an appraiser. $400 to $600. Couple of weeks. Best data but slow and expensive for a quick gut-check.

Option four, log into the MLS yourself. Only possible if you’re licensed. Even for licensed agents the MLS interface is from 2008 and the filter combinations you actually want (price drops in the last 30 days, sorted by price per square foot, within a polygon you drew on the map) are 8 clicks deep.

So most Austin homeowners ended up at option two. Zillow plus a guess. That’s the data problem the AI cluster has been beating on for two weeks. Generic AI without live MLS data is worse than option two. It invents addresses. With the connector wired in, AI becomes option zero. Free, instant, real.

How Austin Real Estate Comps Work With Claude

Here’s the actual workflow. Open Claude (Desktop, Web, doesn’t matter, both work once the connector is installed). Type something like this.

“Pull comps for a 3-bed, 2-bath, 1,950 square foot home at 1234 Main Street, Austin, TX 78704. Use a half-mile radius. Show me closings from the last 90 days, between 1,700 and 2,200 square feet. Include close price, original list price, days on market, and seller concessions if available.”

Hit enter. Claude figures out which tool to use. In this case it fires get_comps against the Austin MLS. About 30 seconds later you have a clean comp list with the fields you asked for. Real closings, real numbers.

The output is just an answer. If you want to refine, refine. “Now narrow to just the ones with a pool.” “Strip out the cash sales, I want to see how financed buyers paid.” “Of these, which had the smallest delta between list and close?” Each follow-up is just another sentence. Claude reruns the query with the new filter and gives you the new list. This is the part people from the search-bar era underestimate. The fact that the conversation is the interface changes how much work you can actually do in 10 minutes.

What Generic AI Gets Wrong About Comps

I want to call this out specifically because it’s the whole reason this post exists. If you ask ChatGPT (no connector) or Claude (no connector) for Austin comps right now, you will get an answer. The answer will sound confident. The answer will be wrong in dangerous ways.

We covered the deep version of this in why AI doesn’t know what just sold. Short version: language models pattern-match on training data. Their training data is months old, scraped from public sites, biased toward Zestimates (which are guesses about guesses). When you ask for comps without a live MLS connection, the model invents addresses that look real, prices that look plausible, and dates that look recent. None of it has to be true.

This is different from the search problem. Generic AI inventing listings is annoying for buyers. Generic AI inventing comps is expensive for sellers. If you set a list price off of 5 fake comps that are systematically high by 8%, you list 8% too high, you sit, you drop, you eventually sell for less than if you had priced it right the first time. That’s a $40K-$60K mistake on a $700K Austin house. Not a rounding error.

The MCP connector solves this by giving Claude a real data source. The same Austin MLS that all of us realtors use to actually run our business. Claude stops guessing and starts querying. The output goes from “plausible nonsense” to “actual numbers.” It’s the difference between asking a tourist for directions and asking the cab driver.

Three Comp Prompts I Use Every Week

Copy these, change the addresses and ranges, run them.

Quick neighborhood comp scan.

“Pull all closed sales in 78731 in the last 90 days, between 2,200 and 2,800 square feet, 4 bedrooms. Sort by close date, newest first. Show address, close price, list price, days on market, and beds/baths.”

This is the broad survey. Useful when you want to feel the market before drilling in. Take the median close price, the median list-to-sale ratio, and the median days on market and you have a market temperature for that zip code.

Tight comp for a specific house.

“Pull comps for the property at 5612 Example Drive, Bee Cave. Find closed sales in the last 6 months within half a mile, within 10% of its square footage, same beds, same year-built decade. Include seller concessions and financing type.”

This is the version you run if you’re about to buy a specific house or list one. It tightens the comp set to actual peers. The half-mile radius and tight square footage band matter because Austin neighborhoods can change in price by 30% across a single mile.

Adjustment-style comp for an unusual property.

“My target home is 4 beds, 3.5 baths, 3,200 square feet on a 1-acre lot in Spicewood. There are no perfect comps. Pull the 8 nearest closings in the last year, then call out for each one how it differs (smaller lot, fewer beds, older year built, etc.). Tell me which ones are most useful and which ones I should discount.”

This is the prompt that does work realtors used to do by hand. Claude pulls the comps, then reads each one against your target and tells you where the differences are. You still need a human to weight it (and that’s where I come in if you’re an actual buyer or seller), but the comp set comes back in 90 seconds instead of a day and a half.

Caveats. Where AI Comps Still Need a Human.

I want to be honest about what AI comps are not.

1. They are not an appraisal. An appraisal involves an in-person inspection, condition rating, and a licensed appraiser putting their license behind the number. Claude pulling comps off the MLS is much faster but it cannot see that the kitchen in your target home was renovated three years ago while the kitchen in the comp is from 1994. Condition matters. Photos help. A human walk-through helps more.

2. They are not a CMA replacement. A CMA (Comparative Market Analysis) is what a working realtor like me builds when we sit down and price a house. The comps are the raw input. The CMA is the comps plus current active competition, plus our read on the market, plus what we know about your buyer pool. We do CMAs for free.

3. They will not include private exclusive listings. Some Austin homes sell off-market or in private networks. Those do not show up in the MLS comp data. For most homes this is a rounding error. For ultra-luxury (over $5M) it can matter.

4. They are only as good as the question. “Pull comps for my house” is a weak prompt. “Pull comps within half a mile, same beds, same general square footage, last 90 days” is a strong prompt. AI does what you ask. The work is asking well.

That said, AI comps are now genuinely better than what 90% of homeowners used to be able to access on their own. Faster than waiting for a realtor. Cheaper than an appraiser. More accurate than Zillow. Used right, they put real numbers in the hands of regular people for the first time.

For Austin Sellers Specifically

If you’re getting ready to sell in Austin, Westlake, Lakeway, Bee Cave, Spicewood, or anywhere in the Hill Country, here’s how I’d actually use Claude comps in your decision process.

Step one. Run the broad neighborhood scan in your zip code. Get a feel for what’s been moving and at what list-to-sale ratio. Step two. Run a tight comp on your specific house. Get a defensible range. Step three. Call us or another local realtor for a real CMA and compare numbers. If the AI range and the CMA are within a few percent, you’ve probably got a defensible price. If they’re 10% apart, somebody is wrong and now you have an interesting conversation. Step four. List, sell, close. Steps three and four are still where humans add the most value.

The version of this that’s pure AI is faster than the old way. The version that’s AI plus a human is faster AND more accurate. That’s the play.

Install the Connector and Run Your First Austin Comp

If you want to see this work, install the free Austin MLS connector. Pick your AI client, run the 3-step OAuth setup, and try the tight comp prompt above with your own address. You’ll know in a few minutes whether this changes how you think about Austin home pricing.

For background, here’s why generic AI gets Austin comps catastrophically wrong and how the Austin MLS connector got built. If you’re earlier in the journey, the pillar guides are how to buy a house with AI and how to sell a house with AI.

If you want a real CMA for your Austin home from an actual broker who lives here, get in touch with Neuhaus Realty Group. We work in Austin, Westlake, Lakeway, Bee Cave, Spicewood, Dripping Springs, and the surrounding Hill Country.