# LookAlike

A discovery and triage tool that finds US neighborhoods resembling a retail brand's existing stores — on open data, with every match explained. Not a sales predictor.

Pick a retail brand. See the US neighborhoods that resemble its existing stores — and exactly why. Built entirely on open data. **Not a sales predictor.**

[What it is (and is not)](https://docs.lookalikeiq.com/guides/what-it-is/) [How a match is computed](https://docs.lookalikeiq.com/method/how-it-works/)

This tool does **not** predict revenue, sales, foot traffic, or whether a store would succeed. It measures **observable neighborhood resemblance** on open US Census and Overture Maps data — and nothing more. It is a way to decide _where to look_, not a recommendation to open. See [What it is (and is not)](https://docs.lookalikeiq.com/guides/what-it-is/).

Discovery, honestly

Reverse-engineers where a brand operates by profiling the census tracts its stores sit in, then ranks every continental-US tract by resemblance — with a transparent, per-feature explanation for every match.

A market-screening workbench

Reweight the factors, compare two brands, focus a metro, check robustness, shortlist candidates, and export a print-ready report. [Tour the features →](https://docs.lookalikeiq.com/guides/the-map/)

Real open data

US Census ACS, TIGER/Line boundaries, Overture Maps points of interest, and OpenStreetMap store locations — all free, no API keys. [Data sources →](https://docs.lookalikeiq.com/method/data-sources/)

Bring your own footprint

Upload your stores (optionally with revenue and failed-location flags) to profile against your _winners_ and avoid lookalikes of your _failures_. [Custom upload →](https://docs.lookalikeiq.com/guides/custom-upload/)

Canonical URL: https://docs.lookalikeiq.com/