Every business in the category, in the city, built fresh.
Name a category and a location. Doe builds the list, finds the owner or manager, verifies the contact, and refreshes it monthly, including the just-opened businesses that have no website yet and are not in any database.
Doe builds local business lists by category and geography, finds the owner or manager, verifies the contact, de-duplicates, and refreshes monthly for new openings and closures. It reads sources beyond the usual databases, so it can surface freshly opened businesses that have no website yet, the ones every competitor's stale export misses.
What changes
| Dimension | Before | With Doe |
|---|---|---|
| Freshness | A static export, stale the day you buy it | Rebuilt monthly with new openings marked |
| New businesses | Missing until databases catch up | Found early, including those with no website yet |
| Who you reach | A generic info@ line | The owner or manager, verified |
| Effort | Hours in maps and directories, every month | A standing job that refreshes itself |
From a category and a city to a verified local list
Doe gathered businesses from maps, directories, and local sources, including newly opened ones with no website that databases have not indexed yet
The Judge removed closed, duplicate, and out-of-area entries and kept the businesses that match your category and size criteria
Doe added the detail you need to prioritize and identified the decision-maker rather than a generic info line
Doe waterfalled to a verified email and, where available, a phone number, flagging the ones it could not confirm
Google SheetsDoe exported businesses, owner contacts, location, and verification status, with new-since-last-run rows marked
The list you bought was dead on arrival.
You buy a list of dental practices in three metros. A quarter of them have closed. Another quarter got the exact same export and have already been called by ten competitors this month. The few good ones, the practice that opened last month and is actively looking for vendors, are not on the list at all, because they do not have a website yet and no database has caught up to them.
Building it yourself means hours in maps and directories, copying business names, hunting for an owner's email, checking whether the place still exists, and then doing it all again next month because local businesses open, move, and close constantly. It is exactly the kind of repetitive, never-finished work that quietly eats an agency's margin.
Get started with the right source material
Add your library and tools
Add or select the source files Doe should use, then connect the tools this task needs. No API keys, no engineering.
Describe what you need
“Build me a monthly list of dental practices in Austin, Dallas, and Houston. Find the practice owner or office manager, verify their email and phone, drop anything that has closed, and flag practices that opened in the last 60 days. Put it in a sheet.”
It runs on schedule
Runs monthly. A fresh, de-duplicated local list with verified owner contacts lands in your sheet.
Local Business List Building FAQ
Doe reads public sources the way a researcher would: map listings, directories, local registries, and business websites. Because it is reasoning over live sources rather than querying one frozen database, it can surface businesses that just opened and have little or no online footprint yet, which is usually where the freshest opportunities are.
Stop doing the work your tools should do for you.
Set it up once. Doe runs it every time.
