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Amenos Metrics - Data Analytics, Workflow Automation & AI Tools for Hospitality — 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
ameyanagarkar.com ↗	70 match 1 shared topics	Ameya Nagarkar \| AI Visibility & Automation for Luxury Hospitality	en	hospitality-industry Spree Commerce	robotsllmsaihumans	emailphone	none
almacostainless.com ↗	69 match 1 shared topics	Custom Kitchen Solutions for Hospitality \| Almaco	en	hospitality-industry	robotsllmsaihumans	emailphone	none
myfinancialmavens.com ↗	69 match 1 shared topics	P4 Hospitality Analytics \| Restaurant Profitability Optimization	en	hospitality-industry	robotsllmsaihumans	emailphone	none
primaaprilis.com ↗	69 match 1 shared topics	Restaurant Menu and Check Presentation Guide for Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
centralflow.ai ↗	69 match 1 shared topics	CentralFlow — AI Financial Controller for Hospitality (FCaaS)	en	hospitality-industry	robotsllmsaihumans	emailphone	none
tristarautomation.com ↗	69 match 1 shared topics	Lutron Hospitality Technology - Tri Star Automation	en	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
leftwork.ai ↗	69 match 1 shared topics	Leftwork — Managed AI for Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
cg-publishing.com ↗	68 match 1 shared topics	Professional Hospitality Accessories \| Menu Presentation & Table Communication	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
caskly.ai ↗	68 match 1 shared topics	Caskly \| Personalised Intelligent Systems for Hospitality	en	hospitality-industry Lightspeed	robotsllmsaihumans	emailphone	none
leoautomationindia.com ↗	68 match 1 shared topics	Leo Automations - Smart Hospitality Solutions	en	hospitality-industry Spree Commerce	robotsllmsaihumans	emailphone	none
idraught.com ↗	68 match 1 shared topics	Hospitality Services	en	hospitality-industry	robotsllmsaihumans	emailphone	none
discoboots.co.uk ↗	68 match 1 shared topics	Disco Boots — Music & Atmosphere for Hospitality	United Kingdom en	hospitality-industry	robots llmsaihumans	emailphone	none
iberica-norte.com ↗	68 match 1 shared topics	Iberica Norte 2030 Sl. – Tableware, Glassware & Porcelain for Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	none
k12directoryofschools.com ↗	68 match 1 shared topics	Elegant Hospitality Display Accessories for Restaurants and Hotels	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
altivueinsights.com ↗	68 match 1 shared topics	NYC Mystery Shopping & Hospitality Solutions \| Altivue Insights	en	hospitality-industry Wix	robots llmsaihumans	emailphone	none
cfs-hospitality.com ↗	68 match 1 shared topics	CFS Hospitality \| Furniture Supplier for Hotels + Restaurants	en	hospitality-industry WordPress	robots llmsaihumans	email phone	none
cfshospitality.com ↗	68 match 1 shared topics	CFS Hospitality \| Furniture Supplier for Hotels + Restaurants	en	hospitality-industry WordPress	robots llmsaihumans	email phone	none
ehlgroup.ch ↗	68 match 1 shared topics	EHL Group \| Global reference in hospitality education & business solutions	Switzerland en	hospitality-industry HubSpot	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.