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55match
aflvme.com
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0 co-citations1 shared tech1 shared categorystyle-and-fashion
55match
balance-and-flow.com
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55match
elegance52.com
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53match
aditikashyap.com
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50match
kyapehnu.app
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50match
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0 co-citations1 shared tech2 shared categorywomen-s-fashion
50match
jonesknows.com
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0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
hauteur.app
HAUTEUR — Wear it before you buy it.
0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
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0 co-citations1 shared tech2 shared categorywomen-s-fashion
50match
afiffashion.com
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0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
aphroditeattire.com
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0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
ceralifestyle.com
Ceralifestyle — Elevated Fashion for the Modern Era
0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
corlierconcierge.com
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0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
cozycoutureint.com
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50match
elanmiras.com
Elan Mira - Merging Style with Luxury
0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
eliorandra.com
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0 co-citations1 shared tech2 shared categorystyle-and-fashion
50match
femaale.com
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45match
mansacorp.com
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0 co-citations1 shared tech0 shared categoryskin-care

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.