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82match
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1 co-citations2 shared tech2 shared categorywomen-s-fashion
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1 co-citations2 shared tech1 shared categorywomen-s-fashion
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1 co-citations2 shared tech1 shared categorywomen-s-clothing
68match
manushreecreations.com
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1 co-citations2 shared tech0 shared categorymakeup-and-accessories
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1 co-citations2 shared tech0 shared categoryhair-care
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1 co-citations2 shared tech0 shared categorywomen-s-jewelry-and-watches
62match
jem-glam.com
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1 co-citations2 shared tech0 shared categoryhair-care
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hamicomfort.com
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1 co-citations2 shared tech0 shared categorywomen-s-intimates-and-sleepwear
62match
6bsoap.com
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1 co-citations2 shared tech0 shared categorynatural-and-organic-beauty
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aestheticsirina.com
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1 co-citations2 shared tech0 shared categoryskin-care
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bollywoodnails.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.