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Two by Five Hospitality • Chicago Restaurant Group — 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 Hospitality Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mrgct.com ↗	75 match 1 shared topics	Max Hospitality \| Restaurant Group Serving CT & MA	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
bonhommehospitality.com ↗	74 match 1 shared topics	Chicago & Spain Restaurant Group \| Bonhomme Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	none
brasahospitality.com ↗	73 match 1 shared topics	Restaurant Consulting \| Brasa Hospitality – New York State	en	hospitality-industry Wix	robots llmsaihumans	emailphone	none
ctrestaurant.org ↗	72 match 1 shared topics	CRHA \| Connecticut Restaurant & Hospitality Association	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
marquisseating.com ↗	72 match 1 shared topics	Marquis Seating : Hospitality - Hotel - Restaurant Furniture	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
jayshirodkar.com ↗	72 match 1 shared topics	Jay Shirodkar \| Restaurateur, Investor, Yes Hospitality Group	United States~ en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	partial · 8
thewonderspace.com ↗	72 match 1 shared topics	Restaurant & Hospitality Management - The Wonderspace	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
dhglv.com ↗	71 match 1 shared topics	Downtown Hospitality Group \| DHG	en	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
bostynhospitalitygroup.com ↗	71 match 1 shared topics	BHG \| Bostyn Hospitality Group	en	hospitality-industry	robotsllmsaihumans	emailphone	none
mkmhg.com ↗	71 match 1 shared topics	MKM Hospitality Group - Professional Hospitality Services \| Hotel & Restaurant Consulting	en	hospitality-industry	robotsllmsaihumans	emailphone	none
afterdarkhospitality.com ↗	71 match 1 shared topics	After Dark Hospitality Group	en	hospitality-industry Shopify	robots llmsaihumans	email phone	none
jamestownhg.com ↗	70 match 1 shared topics	Jamestown Hospitality Group \| Restaurants, Catering and Events Venues in Wilmington, DE	en	hospitality-industry	robotsllmsaihumans	emailphone	none
jamestownhg.net ↗	70 match 1 shared topics	Jamestown Hospitality Group \| Restaurants, Catering and Events Venues in Wilmington, DE	en	hospitality-industry	robotsllmsaihumans	emailphone	none
palisadeshospitality.com ↗	70 match 1 shared topics	Home - Palisades Hospitality Group	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
palisadeshospitalitygroup.com ↗	70 match 1 shared topics	Home - Palisades Hospitality Group	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
savannalic.com ↗	70 match 1 shared topics	Merchants Hospitality® \| Luxury Restaurants Worldwide	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
savannany.com ↗	70 match 1 shared topics	Merchants Hospitality® \| Luxury Restaurants Worldwide	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
savannarooftop.com ↗	70 match 1 shared topics	Merchants Hospitality® \| Luxury Restaurants Worldwide	United States~ en	hospitality-industry	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.