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38match
divelleshop.com
Home - Cosmetics Store
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36match
julianadeus.com
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36match
diadosim.ai
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33match
malucostadaily.com
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0 co-citations5 shared tech1 shared categorybeauty
33match
jarpmania.com
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32match
cosmeticointeligente.com
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0 co-citations8 shared tech1 shared categorynail-care
32match
elisangelacharmo.com
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32match
elianedelgado.com
Home - Eliane Delgado
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32match
guiabeleza.com
Home - Guia Beleza
0 co-citations4 shared tech1 shared categoryhair-care
32match
afrillo.com
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0 co-citations5 shared tech1 shared categorybeauty
31match
charliecalina.com
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30match
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0 co-citations5 shared tech1 shared categorybeauty
30match
aestheticvenus.com
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30match
elianecolepicolo.com
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29match
cetimacessorios.com
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0 co-citations5 shared tech1 shared categoryhair-care
29match
dhespacohair.com
home - Espaço Hair
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29match
elevebeautyshop.com
Eleve Beauty Shop
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29match
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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.