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72match
devendranarayan.com
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62match
gercarriere.com
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healthpluslongevity.com
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ccinfatuation.com
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59match
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3 co-citations2 shared tech1 shared categorywellness
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dianehalfman.com
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3 co-citations2 shared tech1 shared categorywellness
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dianahenning.com
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3 co-citations5 shared tech1 shared categorywellness
57match
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57match
healthlifeandbeyond.com
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1 co-citations5 shared tech1 shared categoryhealthy-living
55match
adriankohler.com
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healthyadventurestravel.com
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1 co-citations3 shared tech1 shared categorywellness
54match
kelleerutley.com
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2 co-citations2 shared tech1 shared categorywellness
52match
appleheartcoaching.com
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1 co-citations3 shared tech1 shared categorywellness
51match
mandywoolever.com
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3 co-citations1 shared tech1 shared categoryholistic-health
51match
elevateuwithsuzi.com
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1 co-citations2 shared tech1 shared categorywellness
50match
healthyastyle.com
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3 co-citations0 shared tech1 shared categoryhealthy-living
50match
agahealthandwellness.com
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0 co-citations3 shared tech1 shared categorywellness
50match
developingwellness.com
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0 co-citations3 shared tech1 shared categorywellness

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.