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94match
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
94match
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94match
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
94match
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
94match
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
94match
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
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5 co-citations4 shared tech1 shared categorystyle-and-fashion
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2 co-citations4 shared tech1 shared categorystyle-and-fashion
70match
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1 co-citations4 shared tech1 shared categorystyle-and-fashion
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65match
lapiitakarya.com
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0 co-citations4 shared tech1 shared categorywomen-s-fashion
65match
janveestylishyou.com
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eliribeiro.com
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4 co-citations4 shared tech0 shared categorynail-care
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geochaves.com
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0 co-citations4 shared tech1 shared categorystyle-and-fashion

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.