PropertyRadar adds ChatGPT and Claude access to property data

PropertyRadar has launched an MCP-based connection that lets users query its property and owner database from ChatGPT, Claude, and other AI assistants. The move gives small businesses a faster way to research owners, markets, and leads without leaving the chat tools they already use.

Why it matters: - PropertyRadar is putting property-owner data directly inside AI assistants, which could cut out the search-export-paste workflow many small businesses still use. - The new connection is included on every paid plan, starting at $99, making AI-driven property research available without an added subscription. - The launch comes as AI adoption rises across small businesses, with the U.S. Chamber of Commerce's 2026 Empowering Small Business report saying 66% of U.S. small businesses now use AI.

What happened: - PropertyRadar launched a connection for ChatGPT, Claude and other AI tools that lets users search property and owner data by asking questions in an assistant. - The connection uses MCP, or Model Context Protocol, an open standard for linking AI assistants to external data and tools. - Users can search PropertyRadar's database with more than 300 criteria. - The system is designed for real estate practitioners, home services companies, and other local businesses that need property and owner intelligence.

The details: - PropertyRadar covers more than 160 million U.S. properties across more than 3,000 counties. - The data set is built from public records, filings pulled directly from county courts, and multiple verified data providers. - PropertyRadar adds new records daily. - The platform includes court-sourced probate, divorce and eviction filings, plus more than 30 distress signals. - Likely scores estimate which owners are likely to sell, refinance or buy. - The assistant starts with counts and summaries by default. - Specific records and owner contact details appear only when the user asks for them. - PropertyRadar says that approach keeps owner information out of the conversation until it is needed. - Businesses remain responsible for following privacy, consent, calling and texting rules. - Counts, property summaries and saved audiences are free. - When a business retrieves billable property, owner, phone or email data, PropertyRadar charges its standard data rates. - Businesses are not charged for failed requests, unavailable contact data or data they already own.

Between the lines: - The launch pushes PropertyRadar closer to the point where AI assistants become the front door for prospecting, not just the writing tool that follows it. - The company is betting that context-rich ownership data is the missing layer that turns generic AI into a usable lead engine for local businesses. - By limiting the default output to counts and summaries, PropertyRadar is also trying to make the workflow feel safer and less intrusive before users request contact details.

What's next: - Users can already ask questions such as how many homeowners in a ZIP code have owned for 10-plus years, have more than 50% equity and are over 65. - Businesses can also ask how many homes in a service area sold in the last 90 days or save preforeclosure leads with 30% or more equity as an audience. - The company says the connection is available now in the United States on every paid PropertyRadar plan. - PropertyRadar expects businesses to use the assistant to size up markets, check properties, reach owners and launch campaigns from saved audiences.

The bottom line: - PropertyRadar is turning property intelligence into an AI-native workflow, giving small businesses a faster path from question to lead list.