Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to macscheff.com

Home - MACS CHEFF · ranked by shared content topics & relevance
70match
momantza.com
Home - Momantza
1 shared topicshospitality-industry
69match
madhuban.com
Home - Madhuban Group
1 shared topicshospitality-industry
69match
moonpatel.com
Home - Moon Patel
1 shared topicshospitality-industry
69match
molly-irani.com
Home - Molly Irani
1 shared topicshospitality-industry
69match
mollyirani.com
Home - Molly Irani
1 shared topicshospitality-industry
68match
dinova.com
Home - Dinova
1 shared topicshospitality-industry
68match
maestrohospitality.com
Home - maestro Hospitality
1 shared topicshospitality-industry
68match
concitv.com
Home - ConciTV
1 shared topicshospitality-industry
68match
nvarchi.com
Home - Nvarchi
1 shared topicshospitality-industry
68match
anrgroup.com
Home - AR GROUP
1 shared topicshospitality-industry
68match
djgrouplabrador.com
Home - DJ Group
1 shared topicshospitality-industry
68match
revubase.com
Home - RevuBase
1 shared topicshospitality-industry
68match
s4labour.co.uk 🇬🇧
Home - S4labour
1 shared topicshospitality-industry
68match
hubmedia.co.id 🇮🇩
Home - Hubmedia
1 shared topicshospitality-industry
67match
resonline.com
Home - Resonline
1 shared topicshospitality-industry
67match
swan-trade.com
Home - SwanTrade
1 shared topicshospitality-industry
67match
cabseg.com
Home - CABS Group
1 shared topicshospitality-industry
67match
antinogroup.com
Home - Antino Group
1 shared topicshospitality-industry

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:

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.