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100match
makerfabrik.com
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94match
elevenorganic.com
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2 co-citations4 shared tech1 shared categorywomen-s-clothing
82match
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80match
baelabel.com
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bosshairmakeup.com
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2 co-citations4 shared tech0 shared categorybeauty
80match
boudiegirls.com
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2 co-citations4 shared tech0 shared categorywomen-s-fashion
80match
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79match
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76match
germangrey.com
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2 co-citations4 shared tech1 shared categorymen-s-clothing
74match
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2 co-citations3 shared tech1 shared categorywomen-s-clothing
74match
hataddiction.com
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2 co-citations4 shared tech0 shared categorywomen-s-hats-and-scarves
68match
maisonelisar.com
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2 co-citations4 shared tech0 shared categorywomen-s-fashion
68match
healthcodejo.com
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2 co-citations4 shared tech0 shared categoryskin-care
68match
breeathhe.com
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2 co-citations4 shared tech0 shared categorynatural-and-organic-beauty
68match
aestiqwear.com
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2 co-citations4 shared tech0 shared categorywomen-s-clothing
67match
ivibestore.com
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2 co-citations4 shared tech1 shared categorywomen-s-clothing

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.