How AI Is Changing the Way Buyers Search for Property

The filter system isn't gone. But it's no longer how most buyers start.

More and more, buyers are opening Zillow, Homes.com, or even ChatGPT and typing something like: "three-bedroom home near good schools, under $850k, with a north-facing backyard." No dropdowns. No bedroom sliders. Just a description of what they want, the way they'd say it to a friend.

That shift changes what gets surfaced. And if your listing copy is still written for the old system, it may not be showing up at all.

The Portal Filter Is No Longer the Starting Point

For the past decade, property portals were built around filters. Buyers set their bedroom count, their price ceiling, their suburb, and got a grid of results. The listing photo and headline did the work from there.

That model isn't dead, but the major portals have moved on. In late 2025, Zillow, Realtor.com, and Homes.com all launched natural language search features within months of each other. Zillow also became the first real estate platform integrated directly into ChatGPT, meaning buyers can now search for properties through a conversational AI interface without ever opening a browser.

According to a 2025 survey from Veterans United Home Loans, 39% of prospective home buyers reported using AI tools in their property search and that number is climbing.

This isn't a niche behaviour. It's fast becoming the default.

What Changes When Search Gets Conversational

Traditional keyword filters work on structured data: bedrooms, price, and postcode. They don't care how your listing is written. Natural language search is different. It reads the listing description and tries to understand what kind of buyer this property suits.

Realtor.com's natural language tool reportedly recognises over 300 property-specific terms, matching buyer queries to listing copy and photos. So when a buyer types "vaulted ceilings, open plan, close to the beach," the AI is scanning your actual description to find a match, not just your metadata.

That's a fundamental change in how listings compete.

Imagine you've just won a listing on a quiet street in an inner suburb. The home has a north-facing garden, an updated kitchen, and it's a five-minute walk to the primary school. Under the old system, you'd set the filters and let the photo do the work. Under the new system, if your description doesn't say "north-facing garden," "updated kitchen," or "walk to school," a buyer who typed exactly that into Zillow's natural language bar may never see it.

The listing that wins in AI search is the one written to be understood, not just scrolled.

The Google Layer You Can't Ignore

There's another shift happening above the portals.

In December 2025, Google began testing property listings appearing directly in search results, complete with photos, pricing, and a "Request a tour" button without redirecting buyers to Zillow or Domain. The test sent Zillow's stock down nearly 9% in a single day.

The implications are significant. If Google becomes a direct discovery point for property, your listing's content needs to be readable and rankable by Google's AI, not just formatted for a portal's internal search.

Meanwhile, Google's AI Overviews are already answering broad property-related queries with synthesised responses. Buyers searching "best suburbs for families near Brisbane" or "what to look for in a first home" are increasingly getting AI-generated answers that cite specific pages and content. The agents and agencies with useful, specific content on their own sites are the ones getting surfaced.

What This Means Practically

This isn't about gaming a new algorithm. It's about writing like a human who wants to be understood.

A few things that matter more than they used to:

Write the features out. Don't assume the photo will do it. If the property has a butler's pantry, double garage, north-facing aspect, or ducted air conditioning, say it, clearly. Natural language search matches on those specifics.

Use the language buyers actually use. "Al fresco entertaining area" is fine. "Walk to cafes" is better. Write the way a buyer would describe what they're looking for to a friend.

Think beyond the portal. If your brand has a website, suburb guides, or a blog, that content is increasingly part of how AI discovers and surfaces you. A useful guide to the local area is more valuable than it's ever been.

Video still does something written copy can't. A well-written description gets a listing found. Video keeps the buyer engaged long enough to convert. In a world where buyers are doing more pre-research and arriving at the listing with sharper questions, the combination of clear copy and a compelling video is what moves them from "interesting" to "I want to see this."

The search behaviour is shifting at the portal level, at the Google level, and at the AI assistant level simultaneously. Agents who treat listing descriptions as an afterthought are going to feel it first.

The fix isn't complicated. It's just writing the listing the way a buyer would search for it.