Research franchise financial performance with AI
Item 19 is where a franchisor discloses what its units earn, but the formats vary brand to brand and only some disclose at all. FranDB has structured this data so you can ask an AI assistant for revenue, profit, and medians across brands and get an answer in seconds.
The problem with reading Item 19 by hand
Item 19 of the FDD is the closest thing to an earnings figure a buyer gets before signing. The trouble is that it's optional, so roughly a third of franchises disclose nothing, and the ones that do each pick their own format. One reports a flat average. Another breaks revenue out by quartile. A third splits it by unit age or by format.
Comparing those disclosures across a shortlist means decoding each one separately and lining them up by hand. That's slow, and it's exactly the kind of normalization an AI assistant handles well once the data is structured.
What you can pull
FranDB has extracted Item 19 figures into a common shape: revenue, profit where it's reported, and the breakdowns each brand chose to disclose. Connect FranDB to ChatGPT, Claude, or Cursor and you can compare earnings across brands, filter to the ones that disclose at all, and ask for the median instead of the franchisor-friendly average.
A reminder worth keeping in front of you: most brands report revenue, not profit, and an average gets pulled up by a few top units. Ask for the median and the distribution, and treat a missing Item 19 as a question to raise, not a neutral fact.
What you can ask
Connect FranDB to ChatGPT, Claude, or Cursor, then ask in plain English:
- What's the median Item 19 revenue for these five brands?
- Which of these franchises disclose profit, not just revenue?
- Show me franchises in home services that report Item 19 data at all.
- Compare the financial performance of these brands and flag the ones with no Item 19.
Connect FranDB to your AI tools
FranDB plugs into ChatGPT, Claude, and Cursor over MCP, so the data on this page is one question away inside the tools you already use. No code required.
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Frequently asked questions
Can AI pull franchise revenue from Item 19?
Yes. FranDB has structured Item 19 financial performance data across thousands of FDDs, so when you connect it to ChatGPT or Claude over MCP you can ask for revenue, profit, and medians by brand and get a direct answer instead of reading each disclosure by hand.
Do all franchises disclose financial performance?
No. Item 19 is optional, and roughly a third of franchises disclose nothing. Filtering to brands that disclose is a useful quality screen on its own, and it's one of the first things you can ask the AI to do.
Should I trust the average revenue figure?
Be careful with it. An average is pulled up by a small number of high-performing units. Ask for the median, which is closer to what a typical owner sees, and ask for the distribution behind the headline number.