Why Nothing Lies Like Real Estate Photos

1. The photo problem

Listing photos are the least reliable part of buying a home.

As part of HomeSignal's ongoing research into property condition assessment, I recently spoke with Chris Davis, a real estate broker with Compass in Denver. Chris has spent nearly 20 years building his practice in the Denver market and has been recognized as a top producer by the Luxury Home Marketing Institute, 5280 Magazine, and J.D. Power.

I asked Chris what it would save him if he could reliably analyze photos or video of a house before visiting it in person. His answer came quickly, and it set the theme for the rest of our conversation.

"We always say in my firm: nothing lies in real estate more than pictures."

Chris Davis

Chris explained that the gap between a listing photo and the actual property shows up constantly in his work, and it cuts in both directions. Sometimes photos make a good house look bad. Sometimes they make a bad house look great.

2. Underselling a house

A bad phone photo can make a solid house look worse than it is.

The first direction Chris described is the more sympathetic one: an agent who skips a professional photographer and shoots the listing on a phone in poor lighting.

"Sometimes the house will look crappy online. You get there and find out the agent just took the pictures on their iPhone — the lighting was bad, and it didn't look very nice. But the house itself is fine."

Chris Davis

In this version of the problem, buyers may skip a house worth seeing because the online listing undersold it. That is a missed opportunity for the seller and a blind spot for the buyer, and neither party finds out until someone shows up in person.

3. Overselling a house

A wide lens and a photo edit can make a rough house look move-in ready.

The opposite problem is more familiar to most buyers: listing photos that flatter a property well beyond its actual condition.

"Then the complete opposite happens: people use a wide-angle lens to make the house look huge and perfect, and they'll Photoshop the photos. You pull up to the house, and it's nothing like the pictures."

Chris Davis

Chris summarized the underlying issue plainly:

"There's a big disconnect between the photos — what we see initially — and when we get to the property, in both directions."

Chris Davis

This is precisely the problem HomeSignal is working on: giving buyers, sellers, and agents a consistent, accurate read on a property's condition that does not depend on who took the photos or what lens they used.

4. Fewer showings, more decisions

Accurate condition data could mean showing three houses instead of thirty.

Toward the end of our conversation, I asked Chris where he thought AI would have the biggest impact on residential real estate over the next few years. His answer connected directly back to the photo problem, and to how much of an agent's job is currently built around in-person showings.

"Instead of showing a client 30 or 40 houses to get them to buy one, if they had accurate condition data up front, they could really narrow it down, because nothing lies in real estate more than pictures. Once you're getting an accurate picture of the condition, instead of showing the average buyer 30 houses to buy one, I could show them three, and they'd pick one, like they do on TV."

Chris Davis

That is a meaningful shift in how agents would spend their time: fewer showings that exist to rule houses out, and more that exist to help a buyer choose between homes they already know they want.

5. Where local expertise still counts

AI can get the contract terms right and the market wrong.

Chris was clear that better property data does not reduce the need for local expertise; rather, it changes where that expertise gets applied. One example he gave was how often he now has to correct advice his clients received from a generic AI tool.

"The first half of a lot of my calls now is explaining why the answer someone got from AI is wrong for our market. It might be accurate for a contract in California, but we're not buying a house in California."

Chris Davis

That distinction matters for how HomeSignal thinks about the products we are building. Consistent, accurate condition data can reduce the number of houses a buyer needs to see in person and give agents a more reliable starting point with clients. It does not replace the judgment of someone who knows a specific market, a specific neighborhood, and a specific contract.

Learn more about what HomeSignal is building, read our conversation on building trustworthy AI for real estate, or browse more HomeSignal field notes.