Ed Neuhaus 
68% of real estate agents say they use AI in their business according to NAR’s 2025 Technology Survey. But only 17% report it making a significant positive impact. That gap tells you everything you need to know about how most agents are using AI right now. They’re writing listing descriptions with ChatGPT and calling it innovation.
Meanwhile, buyers are wondering why they need an agent at all.
And honestly? That’s a fair question. Since the NAR settlement changes went into effect, buyers have to sign representation agreements before they even tour a home. They’re being asked to commit to paying for a service, and a lot of them are looking around thinking “I can search Zillow myself.” At Neuhaus Realty Group, I’ve spent the last year building AI systems that make that question easy to answer. Not with a sales pitch. With actual results that a buyer can see and feel.
So lets talk about what AI for buyer agents actually looks like when someone takes it seriously.
The Post-Settlement Reality for Buyer’s Agents
Before we get into the AI stuff, lets acknowledge the elephant in the room. The real estate industry just went through its biggest structural change in decades. Buyer agent commissions are no longer offered through the MLS. Buyers sign agreements that spell out exactly what they’re paying for. And average commissions actually ticked UP from 5.32% to 5.44% in 2025, which surprised a lot of people.
But here’s what that really means for buyers: you’re now making an active choice about whether to hire an agent and what you’re willing to pay. That’s not a bad thing right. It just means the agent better be worth it.
The agents who are going to thrive in this environment aren’t the ones with the best headshots or the biggest social media following. They’re the ones who can demonstrate, concretely, that they found you something you wouldn’t have found yourself. That they analyzed data you don’t have access to. That they moved faster than you could have on your own.
That’s where AI comes in. Not as a buzzword. As infrastructure.
AI-Powered Property Matching That Actually Works
Lets start with the most basic thing a buyer’s agent does: find properties.
The old way looks like this. Buyer says “I want a 4-bedroom in Lakeway under $800K with a pool.” Agent sets up an MLS search with those filters. Buyer gets 50 emails a day with listings that technically match but practically don’t. Half of them back up to a highway. A third are in HOAs that ban the dog breed they own. The buyer starts ignoring the emails, and eventually starts searching Zillow on their own because at least they can scroll through photos without the noise.
I don’t do it that way.
The searches I build for buyers use sophisticated filters that go way beyond bedrooms, bathrooms, and price. I can filter by specific lot characteristics, HOA restrictions, proximity to certain schools, construction year ranges, days on market patterns, and price reduction history. When a buyer tells me they want “a quiet street in Lakeway where the kids can ride bikes,” I can actually translate that into a search that finds quiet streets. Not just any address in the Lakeway zip code.
The result is that my buyers get curated lists. Five or ten properties that genuinely match what they described, not fifty that sort of match on paper. And those lists live on clean, shareable URLs they can browse anytime, navigate through one by one, and come back to later. It’s more like having a personal property concierge than getting dumped into a search portal.
Seth Godin has this concept about treating people like individuals, not demographics. That’s what this is. The old MLS search treats you like a demographic (wants 4 bed, wants Lakeway, wants under $800K). My searches treat you like an individual with specific preferences that matter.
Off-Market Access: Seeing What Nobody Else Sees
This is probably the single biggest advantage I can offer a buyer right now, and AI is what makes it possible at scale.
I’m currently tracking over 400 private exclusive and pocket listings. These are properties that are for sale but don’t appear on Zillow, Realtor.com, or even the MLS in some cases. Coming-soon listings. Properties being marketed privately. Homes where the seller wants to test the market before going public.
For context, if you’re searching Zillow in Bee Cave or Westlake, you’re seeing maybe 80-85% of what’s actually available. The other 15-20% is circulating in channels that the public search portals don’t index. And in a competitive market, that 15-20% can be the difference between finding your home and losing out to someone who got there first.
My AI systems identify these opportunities, categorize them, and match them against my active buyer profiles automatically. When a pocket listing hits that matches what one of my buyers is looking for, they hear about it the same day. Sometimes the same hour.
I wrote more about how AI handles pocket listings differently if you’re curious about the concept. But the point for buyers is simple: you see homes that other buyers don’t see. That’s not a marketing claim, that’s a structural advantage no big deal right.
Market Intelligence That Goes Beyond “Comps”
Ok so here’s where I think most buyer’s agents really fall short, and where AI makes the biggest difference in what it means to get good advice.
When a traditional agent helps you evaluate a property, they pull comps. Three to five recent sales nearby that are roughly similar. They look at the prices, maybe adjust a little for square footage or condition, and give you a number. “I think it’s worth about $725K.” That’s fine as far as it goes.
But there’s so much more data available now. Days on market trends for the specific subdivision. Price reduction frequency and timing patterns. How the listing price compares to tax assessed value (which in Texas can tell you a lot about whether a seller is being realistic). Whether similar properties in the neighborhood are sitting or moving. What the absorption rate looks like for that price band in that zip code.
I built tools that pull all of this together and give me a neighborhood-level picture in minutes. Could I do this manually? Sure, if I didn’t mind spending three hours per property and also hated sleeping. Not the kind of generic “Austin market is cooling” analysis you read in every news article. Specific, block-level intelligence that tells me whether the seller across the table has leverage or whether my buyer does.
Kahneman’s whole thing is that humans are terrible at processing large amounts of data simultaneously. We anchor on the first number we see and can’t shake it. AI doesn’t have that problem. It can weigh 30 data points at once without anchoring on any single one. So when I tell a buyer “I think you can get this for $40K under asking, and here’s why,” that recommendation is backed by more analysis than any human could do manually in a reasonable timeframe.
If you’re interested in how accurate AI-driven valuations are getting, I wrote about that here. Short answer: better than most people expect, especially when combined with human judgment on the soft factors AI can’t see (like the neighbor’s yard that looks like a junkyard).
Communication That Respects Your Time
This is the part buyers don’t think about until they experience it, and then they can’t imagine going back.
Most buyer’s agents send two types of communication. Automated MLS alerts (“New listing! 4 bed 3 bath in Lakeway!”) and the occasional personal email or text. The automated stuff is noise. The personal stuff is great but doesn’t scale, which is why most agents stop doing it consistently after the first few weeks.
I use AI to land in between those two extremes. When a new listing hits that matches what you’re looking for, the alert you get from me includes context. Why this one matters. How the price compares to recent sales in that neighborhood. Whether the seller has already reduced once (which tells you something about their motivation). What the days on market trend looks like for similar properties right now.
It’s not just “new listing!” It’s “new listing, and here’s why you should care or why you shouldn’t.”
And the market updates my buyers receive aren’t generic newsletters. They’re tailored to the areas you’re actually searching in. If you’re focused on Austin proper, you get Austin data. If you’re comparing Lakeway to Bee Cave, you get a comparison of those two markets. The AI helps me generate these at a level of personalization that would be physically impossible if I had to write every single email from scratch.
Does that mean I’m not personally involved? No. It means the routine communication runs efficiently so that when I pick up the phone to call you, it’s because something genuinely needs a human conversation. Not because I’m “just checking in” to justify my existence on a Tuesday.
Speed Matters More Than Most Buyers Realize
In Austin’s market right now, we’re in what I’d call a balanced market leaning toward buyers (I wrote about whether Austin is a buyer’s market with the actual data). That means you have more negotiating power than you’ve had in years, and you can probably get seller concessions that were unthinkable in 2021.
But “buyer’s market” doesn’t mean “slow market.” Good properties at good prices still move. And the difference between seeing a listing in the first four hours versus the first forty-eight hours can be the difference between getting it and watching someone else get it.
AI gives me speed advantages that compound across every part of the process. New listings identified and matched to buyer profiles in real time. Market data pulled and analyzed within minutes of a buyer asking “what do you think of this one?” Communication that goes out same-day, not three-days-later-when-I-get-to-my-inbox.
I’m not going to pretend that AI makes everything instant. There’s still due diligence, inspections, negotiations, all the stuff that takes real time. But the information gathering and analysis phase, which used to eat up days, now happens in hours. And in a market where the good deals don’t sit around, that matters.
What This Actually Means for You as a Buyer
So lets bring it back to the question that started all of this. Do you need a buyer’s agent?
If you want someone to open doors and write offers, honestly, you probably don’t need to pay 2.5-3% for that. There are flat fee services, there are discount brokerages, there are ways to do it cheaper if that’s all you need.
But if you want someone who is going to find properties you literally cannot find yourself, analyze deals with data that isn’t available on any public website, move faster than you could on your own, and give you negotiation advice backed by real market intelligence rather than gut feeling, then yeah. You want an AI-equipped buyer’s agent.
And I would argue that’s worth paying for. Not because I’m biased (ok, a little biased), but because the math works. If better market intelligence helps you negotiate even 2% off a $600,000 purchase, that’s $12,000. If off-market access gets you into a property that never hits the public market, the value is hard to even quantify.
The agents who are going to struggle post-settlement are the ones whose value proposition is “I have MLS access and I’ll drive you around.” Buyers can see MLS data on Zillow. They have Uber. The agents who are going to thrive are the ones who bring something to the table that the buyer genuinely cannot get on their own.
I wrote about how AI is reshaping the agent’s tech stack from a broader industry perspective. But for buyers specifically, the takeaway is simple: the technology your agent uses directly affects the quality of service you receive. Ask your agent what tools they’re using. If the answer is “Zillow and my phone,” that tells you something.
Frequently Asked Questions
Lets Talk About Your Search
If you’re buying in the Austin area and you want to see what working with an AI-equipped agent actually feels like, lets connect. I’m Ed Neuhaus with Neuhaus Realty Group, and I’ve been doing this in Central Texas for 19 years. The technology is new. The market knowledge is not.
Whether you’re a first-time buyer trying to figure out what you can afford or an experienced investor looking for the next deal, the AI just makes me better at what I already do. It doesn’t replace the human judgment, the negotiation instinct, or the relationships I’ve built over almost two decades. It just makes sure I’m not wasting your time on the wrong properties while the right one slips away.
Be safe, be good, and be nice to people.
