Piperic Business Intelligence
similar sites
‹ profile

Sites similar to kenyascott.com

Home · ranked by category · tech stack · backlink co-citation
51match
groupsareatrip.com
Home
4 co-citations2 shared tech1 shared categoryfamily-travel
50match
hodosoultravels.com
Home
4 co-citations2 shared tech1 shared categoryfamily-travel
49match
corenavoyages.com
Home
4 co-citations1 shared tech1 shared categorytravel
49match
getawaybycassiekay.com
Home
4 co-citations0 shared tech1 shared categorytravel
49match
groupstoday.com
Home
3 co-citations5 shared tech1 shared categorytravel
48match
jlj-travel.com
Home
3 co-citations2 shared tech1 shared categorytravel
48match
bonvivanttravelco.com
Home
3 co-citations2 shared tech1 shared categorytravel
48match
booktohelp.com
Home
3 co-citations2 shared tech1 shared categorytravel
48match
jannisafaris.com
Home
4 co-citations1 shared tech1 shared categorytravel
48match
coralsvista.com
Home
4 co-citations1 shared tech1 shared categorytravel
48match
elegantetravel.com
Home
3 co-citations1 shared tech1 shared categorycruises
48match
hayttours.com
Home
3 co-citations2 shared tech1 shared categorytravel
47match
adventuramorocco.com
Home
3 co-citations1 shared tech1 shared categoryafrica-travel
47match
balidreaming.com
Home
3 co-citations1 shared tech1 shared categorytravel
47match
adventuretravelbugs.com
Home
3 co-citations1 shared tech1 shared categorytravel
46match
adventuringwoman.com
Home
3 co-citations2 shared tech1 shared categoryadventure-travel
46match
arabiandesertuae.com
Home
2 co-citations2 shared tech1 shared categorytravel
46match
devonicholiday.com
Home
3 co-citations1 shared tech1 shared categorytravel

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.