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56match
jenngaudreau.com
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0 co-citations5 shared tech1 shared categoryholistic-health
56match
appleheartcoaching.com
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0 co-citations5 shared tech1 shared categorywellness
55match
healthyadventurestravel.com
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0 co-citations4 shared tech1 shared categorywellness
55match
agahealthandwellness.com
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0 co-citations4 shared tech1 shared categorywellness
55match
developingwellness.com
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0 co-citations4 shared tech1 shared categorywellness
52match
hamrhugr.com
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0 co-citations4 shared tech1 shared categorywellness
52match
devitadiamonds.com
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0 co-citations4 shared tech1 shared categorywellness
50match
jmoorehealth.com
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0 co-citations3 shared tech1 shared categorywellness
50match
dhavalbhadeshiya.com
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0 co-citations3 shared tech1 shared categoryhealthy-living
48match
healthandhowllc.com
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0 co-citations3 shared tech1 shared categoryalternative-medicine
48match
healthy-heart-meditation.com
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0 co-citations3 shared tech1 shared categoryholistic-health
48match
agoodlife4u.com
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0 co-citations3 shared tech1 shared categorywellness
48match
boonachepresents.com
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0 co-citations3 shared tech1 shared categoryholistic-health
48match
corfinity.com
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0 co-citations3 shared tech1 shared categorywellness
48match
dhwellnesssolutions.com
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0 co-citations3 shared tech1 shared categorywellness
47match
greydivorcees.com
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0 co-citations4 shared tech1 shared categorywellness
46match
markkowaleski.com
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0 co-citations3 shared tech1 shared categorywellness
46match
corinnerodin.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.