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Hotel BI Software | Revenue Management Analytics for Hotels | HotelIQ — 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
hotel-business-intelligence.com ↗	100 match 1 shared topics	Hotel BI Software \| Revenue Management Analytics for Hotels \| HotelIQ	en	hospitality-industry HubSpot	robotsllmsaihumans	emailphone	none
hoteliqbusinessintelligence.com ↗	100 match 1 shared topics	Hotel BI Software \| Revenue Management Analytics for Hotels \| HotelIQ	en	hospitality-industry HubSpot	robotsllmsaihumans	emailphone	none
hotelbusinessintelligence.com ↗	100 match 1 shared topics	Hotel BI Software \| Revenue Management Analytics for Hotels \| HotelIQ	en	hospitality-industry HubSpot	robotsllmsaihumans	emailphone	none
hotelinsight.ai ↗	74 match 1 shared topics	Hotelinsight – Intelligent Hotel Revenue Management	en	hospitality-industry	robotsllmsaihumans	emailphone	none
hoteldeskpms.com ↗	74 match 1 shared topics	Hotel Management Software \| HotelDesk	en	hospitality-industry	robotsllmsaihumans	email phone	none
mylighthouse.com ↗	72 match 1 shared topics	Advanced Hotel Revenue Management Solutions - Lighthouse Intelligence.	en	hospitality-industry Storyblok	robotsllmsaihumans	emailphone	none
hotelstrustmax.com ↗	71 match 1 shared topics	Hotels Trust MAX – Analytics Software by Revenue Matters	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
hotelfriend.org ↗	71 match 1 shared topics	Hotel Software - Property Management System (PMS) HotelFriend	Germany~ en	hospitality-industry	robotsllmsaihumans	email phone	none
intouchdata.com ↗	71 match 1 shared topics	Otelier \| Hotel Management Software \| Hospitality Technology	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
hospitalityrms.com ↗	70 match 1 shared topics	HospitalityRMS — Revenue Management for Modern Hotels	en	hospitality-industry	robotsllmsaihumans	emailphone	none
hotelrevenue.ai ↗	70 match 1 shared topics	HotelRevenue.ai - AI-Powered Revenue Management with MAR.IA	en	hospitality-industry	robotsllmsaihumans	emailphone	none
hotelpartner.com ↗	70 match 1 shared topics	HotelPartner - Revenue & Profit Management - HotelPartner	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
hotelpartner-ym.com ↗	70 match 1 shared topics	HotelPartner - Revenue & Profit Management - HotelPartner	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
atlific.biz ↗	70 match 1 shared topics	Hotel Management \| Atlific Hotels \| Canadian Hotel Company	en	hospitality-industry	robotsllmsaihumans	emailphone	none
hotelamplify.com ↗	70 match 1 shared topics	HotelAmplify - Hotel Operations Software and Free Hotel Tools \| HotelAmplify	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
hoteltips101.com ↗	70 match 1 shared topics	Hotel Tips 101 - Tips for Hotel Management	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
hospitalitysentry.app ↗	70 match 1 shared topics	HospitalitySentry — Housekeeping Management for Hotels & Motels	en	hospitality-industry	robotsllmsaihumans	emailphone	none
myhotelcatering.com ↗	70 match 1 shared topics	My Catering - Hotel Banquet Management Software \| Sell Event Spaces Online	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.