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Reception · Internal knowledge for hotel staff — 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
aicraustralia.com.au ↗	68 match 1 shared topics	AICR - Australian Association for Hotel Office Managers	AU en	hospitality-industry	robotsllmsaihumans	email phone	none
saravahotels.com ↗	68 match 1 shared topics	Saravá – International Hotel Representation	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
deutschehospitality.com ↗	66 match 1 shared topics	Welcome to H World International \| Hotels & Resorts	en	hospitality-industry	robotsllmsaihumans	emailphone	none
lumina-international.com ↗	66 match 1 shared topics	Lumina International \| Leading Hotel & Hospitality Management Company	en	hospitality-industry	robotsllmsaihumans	emailphone	none
platestack.io ↗	66 match 1 shared topics	PlateStack: The Operating System for Hotel F&B	DE~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
avantiinc.com ↗	66 match 1 shared topics	Customize Your Kitchen Spaces \| Avanti International Hotel & Restaurant Supply, Inc.	en	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
compset.com.au ↗	66 match 1 shared topics	Compset \| F&B Benchmarking, Pulse & Market Intelligence for Hotels	AU en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
mya-consulting.co.uk ↗	66 match 1 shared topics	International Hotel & Catering Consultants - MYA Consulting	GB en	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
deluxedreamingmilano.com ↗	65 match 1 shared topics	Deluxe Dreaming Milano, Furniture Design for Hotel and Restaurants	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
sanchalakai.com ↗	65 match 1 shared topics	SanchalakAI — Hotel Operations Infrastructure for Hotels & Resorts in India	en	hospitality-industry	robots llmsaihumans	emailphone	partial · 8
hastobekismet.com ↗	65 match 1 shared topics	The AI-Bookable Platform for Hotels & Vacation Rentals \| Kismet	en	hospitality-industry	robotsllmsaihumans	emailphone	none
barbridge.io ↗	65 match 1 shared topics	BarBridge — Customer Acquisition for Hospitality	US~ en	hospitality-industry	robotsllmsaihumans	email phone	none
emileen.ae ↗	65 match 1 shared topics	EMILEEN \| International FZE	AE en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
avenuepixel.com ↗	65 match 1 shared topics	Avenue Pixel — Digital Solutions for Hotels & Resorts	en	hospitality-industry	robotsllmsaihumans	emailphone	none
cscshade.com ↗	65 match 1 shared topics	Commercial Shade for Hotels & Restaurants \| CSC Shade	CA~ en	hospitality-industry	robotsllmsaihumans	email phone	none
curvehospitality.com ↗	65 match 1 shared topics	\| Hotel Furniture Manufacturing & Interior Design	US~ en	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
deepbench.io ↗	65 match 1 shared topics	DeepBench — Real-Time Revenue Intelligence for Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	none
absheronhotelgroup.com ↗	65 match 1 shared topics	Absheron Hotel Group	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.