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65match
healthandhowllc.com
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0 co-citations4 shared tech1 shared categoryalternative-medicine
65match
healthy-heart-meditation.com
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0 co-citations4 shared tech1 shared categoryholistic-health
65match
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65match
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0 co-citations4 shared tech1 shared categorywellness
65match
boonachepresents.com
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65match
crabwiseyoga.com
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59match
hamrhugr.com
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0 co-citations4 shared tech1 shared categorywellness
59match
balahealingarts.com
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0 co-citations4 shared tech1 shared categoryholistic-health
59match
balancebodyandsole.com
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0 co-citations4 shared tech1 shared categorywellness
59match
devitadiamonds.com
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0 co-citations4 shared tech1 shared categorywellness
55match
allabouthappiness.com
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0 co-citations4 shared tech1 shared categorywellness
52match
janinewoo.com
JW Yoga - Home
0 co-citations4 shared tech1 shared categoryfitness-and-exercise
52match
jivanjoti.com
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0 co-citations4 shared tech1 shared categorywellness
52match
hashtagpositivity.com
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0 co-citations4 shared tech1 shared categorywellness
52match
heallreaf.com
Heallreaf - HOME
0 co-citations4 shared tech1 shared categorywellness
52match
kelsizahl.com
Kelsi Zahl - Home
0 co-citations4 shared tech1 shared categorywellness
52match
juliemelancon.com
JULIE MELANCON - Home
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52match
campwellbeing.com
Camp Wellbeing - Home
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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.