Why Online Home Values Can Differ by 30% or More

By Buddy Blake · September 15, 2026

▶ Watch: Why Online Home Values Can Differ by 30% or More

🎙️ Listen: Buddy talks through this article · 7 min

An AI-produced audio version of this article, from Real Stories with Buddy Blake.

A homeowner called me a few nights ago with a question about the price of a house already listed with another agent. I could not become involved in the listing, but because the homeowner asked, I explained what the online numbers appeared to be saying—and what they were not saying.

My honest opinion was that the house had entered the market tremendously overpriced. In the homeowner’s example, a Zestimate had been around $360,000, the property was listed around $550,000, and within days the displayed estimate moved much closer to the new asking price.

That does not prove the listing price alone caused the change. It does illustrate why homeowners should treat online home values as automated estimates—not independent appraisals or promises of what a buyer will pay.

Key takeaways

An online home value is produced by an automated valuation model, commonly called an AVM.
Different AVMs may disagree by 30% to 40% because they use different data, comparable sales and formulas.
A new listing can introduce fresh MLS and public-facing information that causes estimates to change.
Pricing should be based on competing listings, recent closed sales, property condition and current buyer behavior—not the highest online estimate.

Why Do Online Home Values Differ So Much?

Online home values differ because each AVM uses its own property data, comparable-sale rules, geographic boundaries, update schedule and statistical model. Two systems can evaluate the same address while relying on different facts and assigning different weight to those facts.

Banks, lenders, insurers, real estate portals and other companies use AVMs for different purposes. The federal government’s AVM quality-control standards recognize that these models must address confidence, data manipulation, conflicts of interest and applicable nondiscrimination laws.

The most common reasons for a valuation spread include:

Different comparable sales: One model may favor the same subdivision; another may expand across a ZIP code.
Incomplete records: Square footage, additions, room counts and parcel characteristics may be missing or outdated.
Different update timing: A recent closing or listing may reach one provider before another.
Property-type complexity: Waterfront homes, acreage, condominiums and heavily renovated properties are harder to model uniformly.

Can a Listing Price Change an Online Estimate?

An online estimate may change after a property is listed because the listing creates new information, including an asking price, updated facts and current market exposure. That does not mean the algorithm has inspected the property or confirmed that the asking price is supported.

Zillow expressly describes the Zestimate as a starting point rather than an appraisal in its explanation of Zestimate methodology and accuracy. The responsible conclusion is not that a portal intentionally copied a seller’s price, but that an on-market event can give an AVM new inputs and a reason to recalculate.

Practical warning: If an estimate rises from $360,000 toward a $550,000 list price, that movement is not evidence that buyers suddenly agreed the home gained nearly $190,000 in market value.

What Can an AVM Not See?

An AVM cannot reliably judge condition, workmanship, layout utility, deferred maintenance or the emotional reaction buyers have when they tour a home. It knows recorded data and observable market patterns; it does not walk through the front door.

A system may not know whether an addition was permitted, a renovation is current or dated, a floor plan feels functional, or an expensive improvement is something buyers in that exact price range will reward. Coastal characteristics add another layer, which is why sellers should also understand issues such as Wilmington coastal home insurance considerations before comparing seemingly similar properties.

Even location requires human interpretation. Values can change from one subdivision, flood zone, waterfront orientation or street position to another, so a broad search of Wilmington Neighborhoods is only the beginning of a proper local comparison.

Why Is Overpricing Especially Risky in This Market?

Overpricing is particularly risky when transaction volume is low because each property competes for a smaller pool of buyers who can and will move. Recent annual existing-home sales have hovered around four million, near levels not seen since 1995, according to National Association of Realtors housing statistics.

The contrast is remarkable because the country has added roughly 80 million residents since the mid-1990s, based on U.S. Census population history. Low-rate homeowners are also reluctant to surrender affordable mortgages, reducing resale inventory and limiting the number of traditional listing opportunities.

I have worked in real estate for 28 years. In earlier slow markets, I could carry 50 to 150 listings; now, six, eight or ten may represent a meaningful inventory because many owners are rate-locked and much of the available supply is new construction handled through in-house sales operations.

How Can You Compare Multiple Home Valuation Models?

The safest way to use online estimates is to compare several models side by side and investigate why the highest and lowest numbers disagree. FreeHouseValue.com attempts to retrieve as many as 12 estimates, although data access means many addresses produce approximately eight to twelve.

The reports work nationally and combine available public records with valuation data from major portals. These geographically varied examples show the types of property-level reports available:

Do not automatically average the results. First verify the square footage, property type, parcel and recent sales behind them; a precise average of inaccurate inputs is still inaccurate.

What Should You Use to Price a House?

A defensible asking price should combine recent closed sales, current competition, failed or expired listings, property condition and evidence of what buyers are doing now. The AVM range is a useful diagnostic, but it should not be the final answer.

Confirm the public-record facts and correct material errors.
Review nearby sales with similar location, size, age and property type.
Adjust for condition, renovations, lot characteristics and insurability.
Compare against active listings because those homes compete for today’s buyer.
Set a review point based on showings, feedback and offers—not hope.

This is a difficult market for inexperienced pricing. That is not disrespect toward new agents; it is recognition that complicated transactions demand judgment developed through past mistakes, inspections, appraisal issues and deals that nearly did not close. A seller who does not want agent guidance can order an independent appraisal before attempting a for-sale-by-owner strategy.

Why Did We Build FreeHouseValue.com?

FreeHouseValue.com was built to expose the spread between valuation models, not to pretend that one automated number is the truth. A friend and I originally explored a deeper SaaS platform, while friends in Sarasota and Texas tested parts of the content system, but data-feed costs and market conditions made us pause that plan.

I also went down a three-week AI-building rabbit hole, using several AI engines to create tools, schemas, JSON-LD and deep SEO and AIO infrastructure. My wife correctly reminded me that building software was pulling me away from my real work: serving my three customer groups—buyers, sellers and agents—and helping them navigate hard life changes and transactions.

Then something unexpected happened. Without advertising or active marketing, dozens of visitors began arriving through ChatGPT and Claude to compare valuations. That organic response convinced me to keep the simple tool available, let people test addresses around the country and ask for honest feedback without turning a basic valuation comparison into an aggressive follow-up campaign.

Online Home Value Questions

Are online home values accurate?

Online values can provide a useful starting range, but accuracy varies by property and market. They are generally less dependable when records are incomplete or the home has unusual land, condition, location or improvements.

Why did my Zestimate change after I listed my house?

A listing can introduce new property facts and market information that prompt recalculation. A higher estimate after listing does not independently validate the asking price.

Should I average several online home estimates?

Not automatically. Investigate which systems have accurate facts and relevant comparable sales before calculating an average.

Can online valuation tools see home improvements?

Only when reliable data about those improvements reaches the model, and even then the system may not judge workmanship or buyer appeal correctly. An AVM cannot replace an in-person condition review.

Is an AVM the same as an appraisal?

No. An AVM is an automated statistical estimate, while an appraisal is a professional opinion of value developed for a defined purpose using property and market evidence.

What should I do if estimates differ by 30% or more?

Verify the underlying property facts, identify the most relevant comparable sales and request a local pricing analysis or independent appraisal. Do not select the highest estimate simply because it supports the price you want.

Start by trying FreeHouseValue.com or requesting a free home value with no registration required, then compare the results instead of trusting one number. If a move is becoming real, you can also search all available homes and evaluate what your property would compete against before choosing a price.

Call (910) 395-1000

Read the episode transcript

Host: Welcome back to Real Stories with Buddy Blake. You know, I was talking to Buddy the other day about something that honestly blew my mind—why home valuations online can be so wildly different depending on which tool you're using. Like, we're talking 30, 40 percent swings sometimes. So Buddy, I gotta ask—what made you even dive into this in the first place?

Buddy Blake: Oh man, yeah. So I had somebody call me a few nights ago, and they had their house listed with another agent, right? And they asked me what I thought about their price. I looked at it and I was like, you know what, I think your house is tremendously overpriced. And then I showed them something wild—I pulled up Zillow, and their Zestimate was sitting at like $360,000. Then they listed for $550,000, and within three days, boom, the Zestimate jumped to like $500-something thousand. All the other tools followed right after. It's just crazy.

Host: Wait, so the algorithm literally adjusts based on the listing price? That's insane. I mean, how does that even make sense if it's supposed to be an objective valuation?

Buddy Blake: Right? That's the thing nobody talks about. These are called AVMs—automatic valuation models—and banks, lenders, insurance companies, they all use them. But here's the reality: they haven't seen your house. They don't know your upgrades, they don't know your additions, they don't know the unique details that actually matter. And when a listing price hits the market, it becomes data, and the algorithms just react to it. They're not actually evaluating your home.

Host: So you're telling me people are literally making huge financial decisions based on these tools that don't actually know anything about their specific property. That's terrifying. How did you end up building your own tool to show this?

Buddy Blake: Well, I had a friend who'd been building something, and we were thinking about turning it into a SaaS platform, you know, sell it to somebody, make some money off it. But then I realized—there's already so many systems out there giving home values, and agents everywhere are asking customers, 'Hey, want to see your home value?' Just to collect data and call them back. I thought, why not just show people what's actually happening? So we took the tool, we weren't monetizing it anyway, and I put it on my website. And honestly, I didn't expect anything to happen.

Host: But then something did happen, right? I mean, you mentioned getting a ton of traffic from ChatGPT and Claude users just finding it organically.

Buddy Blake: Yeah, and we're not spending a dime on ads. We're not marketing it. This is literally the only thing I've mentioned it, and suddenly we've got dozens and dozens of people coming in, typing their addresses, seeing the different valuations across all these platforms. It's wild because we built it with deep SEO in mind—all the schemas, the JSONs, everything that goes into getting organic leads. And it's working.

Host: So walk me through what someone actually sees when they go to the site. What are they looking at?

Buddy Blake: You type in your address, and it pulls up automatic valuations from up to 12 different sources. Depending on the area, we might get 8 to 12—some areas we can't access all the data because of how they block it. But you'll see Zillow, Realtor.com, all the major portals. And here's the thing: you'll see variances of 30, 40 percent in prices. It's scary because people are actually pricing their houses based on these numbers without talking to anybody who actually knows the market.

Host: I mean, that's the real issue here, isn't it? People are making decisions in a vacuum. You've been doing this for 28 years—what should someone actually be doing if they want to price their home right?

Buddy Blake: You need to talk to a real estate agent who has experience. And look, I'm not disrespecting new agents, but in a market like this—where everything is hard, where we're dealing with life changes, divorces, people moving to be closer to family, job transfers—you need someone who's made mistakes and learned from them. This isn't the market to wing it. Or if you don't want to work with an agent, get an appraiser. But I'm telling you, most sellers don't understand what's actually happening in the market. This year we're looking at about 4 million home sales in the United States—that's the lowest since 1995. And we've got 80 million more people in the country. So we've never seen anything like this.

Host: That's a sobering stat. So what's the real takeaway here? You're putting this tool out there for free, not making money off it. What do you want people to actually do with it?

Buddy Blake: Just be careful. Go to freehousevalue.com, type in your address, and look at the swings. See how different these valuations are. I'm not saying these systems are bad—I'm just saying be very careful about making huge financial decisions based on them alone. Test it out, give me feedback. You've got nothing to lose. It works everywhere in the country. Just go check it out and see what you think.

Host: And you're seriously not trying to hammer anyone or collect their data for leads or anything like that?

Buddy Blake: Nope. We're just showing people the reality of how these algorithms work. That's it. My focus is on my actual customers—my buyers, my sellers, and my agents. That's where my energy needs to be, and my wife was right to call me out on that. Building tools is fun, but taking care of people is the real job.

Host: I love that honesty, man. Buddy, thanks so much for breaking this down. It's honestly eye-opening to understand how much these valuations can vary and why people shouldn't just trust them blindly. Check the show notes for the link to freehousevalue.com, and definitely go test it out yourself. This was great.

Buddy Blake: Thanks for having me. I appreciate it.