In Global Real Estate, Chaos Isn’t a Bug: It’s the Opportunity AI Was Built For

Written by:

Rudi Davis

Date:

18 Nov 2025

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In the United States, buying or selling a home generally follows a clear pattern: listings live in centralized databases, most sales involve licensed agents, and pricing information is easy to find. It can be surprising to learn how unusual that level of structure is. In much of the world, there are no shared listing systems, no uniform rules for who can represent a buyer or seller, and no consistent way to track sales activity.

To Michael Gerrity, CEO of World Property Ventures, that mismatch isn’t a barrier but rather the starting point for a new kind of solution. Where others see confusion, he sees an opening for AI to interpret scattered information and connect buyers and sellers across borders without asking local markets to change how they work.

Here’s a revised version that keeps everything in third person outside of quotes, expands the contrast between the U.S. and Brazilian markets, and weaves in more specific context:

Learning from Emerging Markets

Gerrity points to his experience in Brazil as a clear illustration of how different international real estate systems can be from the U.S. model. In the United States, most residential transactions run through a well-defined pipeline: agents handle nearly all sales, listings appear in centralized databases, and market activity is tracked with relative precision.

Brazil operates very differently. Gerrity recalls meeting with the CEO of the Real Estate Association of Brazil and asking a simple question: “You have 200 million people in Brazil. How many homes sell a year?” The response surprised him. “You know what? I don’t know,” the CEO admitted.

That uncertainty reflects the structure of the market. According to Gerrity, while roughly 92% of U.S. home sales involve an agent, in Brazil fewer than 10% do. Buyers and sellers often rely on newspaper classifieds, WhatsApp groups, yard signs, and other informal networks. Listings aren’t centralized. Records can be fragmented across municipalities. Even basic transaction data is often unavailable or incomplete, making it hard to measure the size or pace of the market.

Turning Chaos into Opportunity

For Gerrity, Brazil reflects a broader reality: many countries operate with loose networks of listings, limited tracking, and highly local practices. Expecting those markets to mirror the U.S. structure isn’t practical. Instead of pushing for uniform standards, he argues for working with the landscape as it exists. “From the search side, we don’t have to have perfect data. We just need inventory,” he says.

World Property Ventures is building AI tools designed to pull together those scattered pieces. The technology scans classifieds, informal listing sites, developer postings, and other sources across multiple languages and formats, then organizes them so buyers can actually use the information. “We’re pulling in classifieds from around the world onto our platform,” Gerrity says. “We don’t have to have perfect data. We just need inventory.”

Here’s a version that establishes right away that this technology is meant for buyers and then builds out the broader point:

The Technology Solution

For Gerrity, technology isn’t just a tool for collecting scattered data: it’s the mechanism that makes that data usable. The challenge in many global markets isn’t simply that information is fragmented; it’s that buyers search in different languages, use different terms, and follow different customs. Any system meant to operate across borders has to interpret all of that variation without asking local markets to change how they function.

That’s why he highlights AI-driven search as a key part of the solution. For buyers, a voice-enabled engine that understands natural-language questions in any language can translate everyday queries into structured searches across millions of mismatched sources. Instead of requiring standardized inputs or uniform listing formats, it lets people describe what they want in their own words and still reach the full range of available inventory.

“It will pull up everybody’s listings that fit your search parameters,” Gerrity explains. “This is a search engine of search engines. It will pull up realtor listings, Zillow listings, FSBO listings, home builder listings, developer listings, everything that fits the parameter or category, location and price.”

By layering AI on top of inconsistent systems, he believes the global market can function more like a connected marketplace without forcing countries to adopt the same rules or data standards.

Building for the Future

Gerrity says World Property Ventures is working toward a system that blends global listing aggregation with AI-driven search, creating a single layer that can connect buyers and sellers across borders without requiring uniform rules or formats. The goal is to make global inventory searchable in a way that respects how each market already operates.

“We can map these listings not only to different languages and preferences, but also to different customs and laws,” Gerrity explains. He says the system can absorb those variables and align them with the search process so the results comply with the data-licensing and privacy requirements specific to each region.

He believes this model could pave the way for a global real estate marketplace built around interoperability rather than standardization. “We’re just a conduit of information,” Gerrity says, “organized and mapped at a high level.”