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92match
hawaiianmenopause.com
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1 co-citations3 shared tech1 shared categorywomen-s-health
90match
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1 co-citations2 shared tech1 shared categorywomen-s-health
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1 co-citations2 shared tech1 shared categorywomen-s-health
72match
jimivarner.com
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1 co-citations2 shared tech0 shared categoryfitness-and-exercise
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1 co-citations2 shared tech0 shared categoryfitness-and-exercise
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70match
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1 co-citations2 shared tech0 shared categoryholistic-health
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1 co-citations2 shared tech0 shared categoryalternative-medicine
70match
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1 co-citations2 shared tech0 shared categoryherbs-and-supplements
70match
bookyourbody.com
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1 co-citations2 shared tech0 shared categoryhealthy-living
70match
cdsku.com
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1 co-citations2 shared tech0 shared categoryalternative-medicine
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cellywelly.com
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1 co-citations2 shared tech0 shared categoryherbs-and-supplements
70match
centroolisticosangha.com
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1 co-citations2 shared tech0 shared categoryholistic-health
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dialyourhealth.com
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1 co-citations2 shared tech0 shared categoryhealthy-living

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.