Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jeffservos.com

Jeff D. Servos · ranked by category · tech stack · backlink co-citation
85match
jannphung.com
:)
1 co-citations3 shared tech1 shared categoryshopping
85match
jasandallison.com
the Sajjans
1 co-citations3 shared tech1 shared categoryshopping
85match
jill1.com
Jillian Miliffe
1 co-citations3 shared tech1 shared categoryshopping
85match
bazarsol.com
Bazar Sol
1 co-citations3 shared tech1 shared categoryshopping
85match
4th-avenue.com
4th Avenue
1 co-citations3 shared tech1 shared categoryshopping
85match
4vceramics.com
4V Ceramics
1 co-citations3 shared tech1 shared categoryshopping
85match
aabenstudio.com
AABEN STUDIO
1 co-citations3 shared tech1 shared categoryshopping
85match
apieceofmi.com
A PIECE OF MI
1 co-citations3 shared tech1 shared categoryshopping
85match
baiesdesigns.com
Baies Designs
1 co-citations3 shared tech1 shared categoryshopping
85match
bohnmusic.com
B Ø H N
1 co-citations3 shared tech1 shared categoryshopping
85match
bomsolyoon.com
sy
1 co-citations3 shared tech1 shared categoryshopping
85match
botanistart.com
Botanist Art
1 co-citations3 shared tech1 shared categoryshopping
85match
cementtilesource.com
RTS Imports
1 co-citations3 shared tech1 shared categoryshopping
85match
centreblockgroup.com
CENTRE BLOCK GROUP
1 co-citations3 shared tech1 shared categoryshopping
85match
dfectart.com
d. Fect
1 co-citations3 shared tech1 shared categoryshopping
85match
fevenkiflom.com
F
1 co-citations3 shared tech1 shared categoryshopping
79match
1mbseries.com
1MB Series
1 co-citations3 shared tech1 shared categoryshopping
78match
marleysilva.com
Marley Silva
1 co-citations3 shared tech1 shared categoryshopping

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.