findloc.ai
Make your business citable by ChatGPT, Claude & Perplexity
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Daniel Duan

findloc.ai - Make your business citable by ChatGPT, Claude & Perplexity

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findloc.ai
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When customers ask ChatGPT "best Airbnb in Rotorua", it names 3-5 specific properties. If you're not on that list, you're invisible — no matter your Google rank. findloc.ai probes ChatGPT, Claude, Perplexity and Gemini weekly across (city × industry) markets and publishes who gets cited — with verbatim AI answers. Free to view. Live data, refreshed every Sunday.

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Daniel Duan
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Hi HN, I built findloc.ai because every time I thought about opening something — a café, a laundromat — Google Maps was useless for the actual question: "Where in this city does this make sense?" Click any city block, and you see: - How many cafés/restaurants/competitors are within 250m / 500m / 1km - What kinds of shops cluster nearby - Per-block research factors tuned to YOUR business type (28 types supported — laundromat cares about residential density; cafés care about office workers; bars care about evening foot traffic) - Side-by-side comparison of two blocks against the same checklist All powered by live OpenStreetMap data via Overpass, with H3 hexagonal binning for the density grid. The whole site is free, no signup, no tracking, no paywall — and it works anywhere on Earth that OSM covers (most places, in practice). Stack: Next.js 14, MapLibre GL, h3-js, deck.gl, OSM, NASA basemap. 700+ programmatic SEO pages for city × business-type research guides. Self-hosted, ~$20/mo to run on Vercel. I'd love feedback — especially from anyone who's gone through actual site selection. What did the existing tools miss? What would you want to see on a block before signing a lease? Try it: https://findloc.ai Browse guides: https://findloc.ai/research
GB

Haha it's like Google maps sync) Nice)

Daniel Duan
Maker

@gb1010 Ha — fair first reaction. The map UI definitely borrows the muscle memory from Maps. The difference is everything's filtered + scored against a specific business type (café vs dentist vs gym), and AI search engines like ChatGPT can read every page natively via schema.org. So it's less "where am I" and more "where should I open this".

Thanks for stopping by 🙏

Farrukh Butt

The block-level comparison is the strongest part here. For local businesses, “is this a good city?” is much less useful than “does this exact street make sense for my business type?”

Daniel Duan
Maker

@farrukh_butt1 Exactly the framing I was going for, thanks Farrukh. The "is this city good?" question has been answered for decades by foot-traffic reports and demographic data anyone can buy. The genuinely hard question — and the one that actually loses money when wrong — is "is this specific block right for my type of business?" A 2nd-floor office over a noisy bar is great for a co-working space, terrible for a tutoring centre. Same block, opposite answer.

If you have a few minutes, try /map → pick any business type → the panels on the right show why each block is or isn't a fit (school proximity for tutoring, residential density for laundromats, etc.). Would love your feedback on whether the per-block reasoning is actually readable or feels like dashboard noise.