What it does

Searches the household database by state or ZIP and total property value, always with a value cap, then drops anything with more than three properties or two owners so the list is families rather than LLCs. Overlays your PL book. No contact fetches, no outreach.

What you get back

  • Ranked household list with value, property count, income and net-worth ranges
  • Drop counts so the cleaning is visible

Example prompt

Add the skill to your AI client first, then paste this. Swap the bracketed bits, and the names and numbers, for your own.

Find households in 55391 and 55331 with property between $600K and $2M that have an email on file.

Source: Written for this skill by the R&D AI Experience team.

Open Claude Open ChatGPT

These buttons try to pre-fill the prompt for you. Open Claude launches the Claude Desktop app (it won't work if you only use Claude in a browser); Open ChatGPT pre-fills the web chat when the browser allows it. Neither is guaranteed, so both also copy the prompt to your clipboard as a fallback -- if the tool opens with an empty box, paste. Connect the Zywave MCP in that tool first, or the prompt has no Zywave data to work with.

More prompts like this: Discover new prospects, 15 more from the Zywave MCP Prompt Library, filterable by line of business.

What it needs from you

A few details from you. You supply the specifics in the prompt, company, state, size, dates.

Details to fill in when you run it:

  • ZIPs or a state, and a property-value band

Street addresses stay out of chat. Income and net worth are vendor ranges, never statements about a person. Live-evaluated Sep 2026. Households that own property in your ZIPs but live elsewhere are kept and tagged; wide value bands are sliced so the list isn’t only the top of the range.

Guides exist for Claude, Microsoft Copilot, ChatGPT, and Google Gemini Enterprise. Custom integrations talk to the MCP server directly, so start from the MCP Apps reference for those.

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