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Home - NMP Servizi — 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
gibamhospitality.com ↗	66 match 1 shared topics	Home - Gibam Hospitality	it	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
1clicksuite.com ↗	62 match 1 shared topics	Gestionale hotel: calcolo preventivo e risponditore email \| One Click Suite	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
getsoftshop.com ↗	62 match 1 shared topics	HotelManager Pro — Gestione hotel con AI per direttori che vogliono crescere	it	hospitality-industry	robotsllmsaihumans	emailphone	none
wing.club ↗	62 match 1 shared topics	Wing Club Blog – Il blog ufficiale di HostessWing	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
ressmultiservices.com ↗	62 match 1 shared topics	Ress, la nostra forza è il gruppo	it	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
gianmarcomontanari.com ↗	61 match 1 shared topics	Chi siamo \| Albergatore Pro	it	hospitality-industry	robotsllmsaihumans	email phone	none
adhara.rent ↗	61 match 1 shared topics	Adhara rent \| Noleggio Arredi e Attrezzature per Hotel	it	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gieffesse.com ↗	61 match 1 shared topics	Trattamenti Pavimenti Lusso per Hotel \| GFS Parma	Italy~ it	hospitality-industry WordPress	robotsllmsaihumans	email phone	none
ermeshotels.com ↗	61 match 1 shared topics	Soluzioni e Strategie per Hotel \| ErmesHotels - A Blastness Brand	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
benchmarkitalia.com ↗	61 match 1 shared topics	HBenchmark - Hospitality Data Intelligence	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
wing-grinder-art.com ↗	61 match 1 shared topics	Blog HostessWing - Consigli, storie vere, informazioni utili per chi vuole diventare una Wing o vorrebbe incontrarne una	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
wing-grinder.com ↗	61 match 1 shared topics	Blog HostessWing - Consigli, storie vere, informazioni utili per chi vuole diventare una Wing o vorrebbe incontrarne una	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
misuratorefiscaletelematico.com ↗	61 match 1 shared topics	Areca System - Semplifica la Gestione della tua Attività	it	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
beisogni.com ↗	61 match 1 shared topics	Bei Sogni Hospitality	it	hospitality-industry	robotsllmsaihumans	emailphone	none
tessilshop.com ↗	61 match 1 shared topics	Tessilshop – Forniture tessili hotel, B&B e strutture ricettive - lenzuola hotel, kit cortesia	it	hospitality-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
dacforniturealberghiere.com ↗	60 match 1 shared topics	Dac Forniture \| Forniture per settore Horeca	it	hospitality-industry PrestaShop WooCommerce	robotsllmsaihumans	email phone	partial · 8
nagevo.com ↗	60 match 1 shared topics	Nagevo — Gestionale moderno per hotel italiani	it	hospitality-industry	robotsllmsaihumans	emailphone	none
tgstonelli.com ↗	60 match 1 shared topics	TGS dei F.lli Tonelli Snc - Ospitaletto	it	hospitality-industry Contao	robotsllmsaihumans	email phone	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.