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Sites similar to unigroup.com

Unigroup alternatives & similar sites

UniGroup, C.A. - Corporate Website — 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 Logistics And Transportation Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
unigroupinc.com ↗	85 match shared topic	UniGroup, C.A. - Corporate Website	United States~ en	logistics-and-transportation-industry WordPress	robotsllmsaihumans	emailphone	none
cfs.net ↗	85 match shared topic	Flexible, efficient, and competitive solutions - Corporate	en	logistics-and-transportation-industry WordPress	robotsllmsaihumans	email phone	none
collicare.com ↗	85 match shared topic	Corporate \| ColliCare Logistics	Norway~ en	logistics-and-transportation-industry	robotsllmsaihumans	emailphone	none
december.delivery ↗	58 match shared topic	december.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
january.delivery ↗	58 match shared topic	january.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
vitronic.com ↗	58 match shared topic	VITRONIC Corporate Home \| VITRONIC	en	logistics-and-transportation-industry Prismic	robotsllmsaihumans	emailphone	none
dec.delivery ↗	58 match shared topic	dec.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
apr.delivery ↗	58 match shared topic	apr.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
august.delivery ↗	58 match shared topic	august.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
aug.delivery ↗	58 match shared topic	aug.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
april.delivery ↗	58 match shared topic	april.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
june.delivery ↗	58 match shared topic	june.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
jul.delivery ↗	58 match shared topic	jul.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
july.delivery ↗	58 match shared topic	july.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
jun.delivery ↗	58 match shared topic	jun.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
may.delivery ↗	58 match shared topic	may.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
march.delivery ↗	58 match shared topic	march.delivery - corporate logistics brand monthly spreadsheet from (NextWorkingDay™)	en	logistics	robotsllmsaihumans	emailphone	none
mar.delivery ↗	58 match shared topic	mar.delivery - the global and only corporate monthly spreadsheet from (NextWorkingDay™)	en	logistics	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.