Ask a question no dataset answers.
FranchiseData is an AI-native research desk. You name the question — a brand's real footprint, a delivery claim worth checking, a market nobody has mapped — and we produce the answer: collected against public records, corroborated at the record level, delivered with method, sources, and caveats. Days, not quarters.
A question in, a deliverable out.
Q. Are you tracking dual-branded locations — the IHOP/Applebee's pairings?
A. Yes — matching units by street address across both brands' location listings, 47 addresses currently host both an IHOP and an Applebee's, including the I-10 store in Anahuac, TX. Delivered as the full address list with cities — caveated where a match may be same-plaza neighbors rather than a true co-branded unit.
Every cut ships the same way: the answer, the method, the sources, and the caveats — so you can check it before you cite it.
The running inventory.
210,000+ geocoded US locations across ~500 restaurant systems — addresses, store numbers, state census.
Store-level DoorDash, Uber Eats, and Grubhub presence — which locations are listed where, verified per store.
Item 19 AUV quartiles, royalty and ad-fund rates, initial investment ranges — FDD-sourced where disclosed, labeled where modeled.
POS and ordering-stack detections per location — Aloha, Toast, Square, proprietary systems.
Multi-unit franchisee relationships — who operates which stores across systems.
Continuous monitoring of filings, closures, leadership moves, and footprint changes — categorized and sourced.
Typical requests.
Unit-closure history for a brand you're underwriting, delivery-channel exposure by DMA, DSCR inputs by concept, portfolio monitoring.
Side-by-side economics and footprint sheets for the systems a candidate is comparing — instead of three 200-page FDDs.
A target's platform-corroborated store census versus claimed units, operator-network mapping in a territory, whitespace analysis by market.
The number nobody publishes — real closure clusters, dual-brand rollouts, delivery footprint versus the marketing — on deadline.
Question → scope → cut.
Use the form above or email research@franchisedata.io with what you need and what it's for. A sentence is enough — we'll ask what's missing.
Same-day reply: what we already hold, what needs collecting, the format, and the price. No scope, no invoice.
Not a dump — the answer with its method, sources, and caveats attached. CSV, JSON, a memo, or ongoing access — whichever the job calls for.
research@franchisedata.io — one person reads every request. If you arrived from one of our emails, replying to it works just as well.