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This standalone walkthrough uses an imaginary company selling a café loyalty app: buy nine coffees and get the next one free. The product helps cafés bring customers back. 1:45 video, rendered September 2026. Recorded in the native product interface with fictional demo results.

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What you’ll learn

  • Find businesses through public customer addresses.
  • Identify companies behind the returned domains.
  • Separate useful prospects from uncertain or duplicate results.

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Choose a useful domain

The imaginary ordering service gives each café an address under order.example. Such public customer addresses can reveal businesses; shared addresses may not. Open Find subdomains, enter the customer domain in Company domain, and search. Create a table from the returned addresses. An address is a clue. It does not prove current use, payment or a need for your product. Old and test addresses can appear too.

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Identify the businesses

Choose Add column, then Write with AI. Ask it to identify the café behind each Web address and return Company, Website and Decision, flagging duplicates and uncertain results. Click Generate, then review the prompt, source-column reference, Web research setting and output fields before running the first rows.

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Review the list

The fictional example returns Juniper Café, Sunday Coffee and Little Fern Café. A test address stays in Needs review. An old Juniper address is marked Duplicate. The video follows Juniper’s ordering page to its café website, then saves a Three cafés view filtered to Keep. The original five addresses remain available for review. Check the supporting company websites before outreach. Research which business your product could help, then find the person responsible for that decision. Use Find people to look for buyers, or Run an agent on a table to research a useful offer.