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Usmapn alternatives & similar sites

LocMaps - Global Restaurant, Bar, Cafe & Hotel Directory | Find Local Businesses Worldwide — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Bars And Restaurants →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
usbizy.com ↗	100 match 1 shared topics	LocMaps - Global Restaurant, Bar, Cafe & Hotel Directory \| Find Local Businesses Worldwide	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
usbuss.com ↗	100 match 1 shared topics	LocMaps - Global Restaurant, Bar, Cafe & Hotel Directory \| Find Local Businesses Worldwide	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
usbuzy.com ↗	100 match 1 shared topics	LocMaps - Global Restaurant, Bar, Cafe & Hotel Directory \| Find Local Businesses Worldwide	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
usmapsy.com ↗	100 match 1 shared topics	LocMaps - Global Restaurant, Bar, Cafe & Hotel Directory \| Find Local Businesses Worldwide	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
placesguru.com ↗	75 match 1 shared topics	PlacesGuru - Find Local Businesses, Restaurants & Shops	US~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	partial · 8
lumodex.com ↗	74 match 1 shared topics	Lumodex - Find Local Businesses & Services Near You	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
santafedirectory.com ↗	74 match 1 shared topics	Las Cruces Directory - Discover Local Businesses & Restaurants	en	bars-and-restaurants WordPress	robotsllmsaihumans	emailphone	none
carteretlocal.com ↗	72 match 1 shared topics	Carteret Local - Local Business Directory	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
jongfoodie.com ↗	72 match 1 shared topics	Jong Foodie — Honest Restaurant & Hotel Reviews Worldwide	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
deepcreeklake.ai ↗	71 match 1 shared topics	AI Powered Local Directory	en	bars-and-restaurants	robotsllmsaihumans	emailphone	partial · 8
discoverhawaii.ai ↗	71 match 1 shared topics	AI Powered Local Directory	en	bars-and-restaurants	robotsllmsaihumans	emailphone	partial · 8
dinehalal.net ↗	70 match 1 shared topics	Dine Halal - Find Halal Restaurants Near You \| Halal Food Directory	GB~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
dinehalal.org ↗	70 match 1 shared topics	Dine Halal - Find Halal Restaurants Near You \| Halal Food Directory	GB~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
swift-bite.com ↗	69 match 1 shared topics	SwiftBite — Local Restaurant Delivery \| SwiftBite	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
havanthub.com ↗	69 match 1 shared topics	HavantHub.com — Local Directory & News for Havant, Hampshire	GB~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
downtownwhitebearlake.com ↗	69 match 1 shared topics	Downtown White Bear Lake - Discover Local Businesses & Events	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
santanlocal.com ↗	69 match 1 shared topics	Discover the best local businesses in the East Valley \| San Tan Local	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
2gobook.com ↗	69 match 1 shared topics	San Diego’s Best Local Directory – Eat, Shop, Discover	en	bars-and-restaurants WordPress WooCommerce	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.