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95match
aestheticdisturbance.com
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3 co-citations5 shared tech1 shared categorywomen-s-clothing
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3dmariebeautyllc.com
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jg-couture.com
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joel-jo.com
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3 co-citations0 shared tech1 shared categorywomen-s-clothing
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3 co-citations0 shared tech1 shared categorywomen-s-clothing
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2 co-citations5 shared tech1 shared categorywomen-s-clothing
59match
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59match
handrims.com
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3 co-citations1 shared tech1 shared categorywomen-s-clothing
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felipecorsi.com
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3 co-citations1 shared tech1 shared categorywomen-s-clothing
59match
ceeykay.com
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1 co-citations5 shared tech1 shared categorywomen-s-clothing
58match
hamzasarfaraz.com
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3 co-citations2 shared tech1 shared categorywomen-s-clothing
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boujielashestanning.com
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elanhairbelfast.com
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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.