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100match
deepkneadedwellness.com
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1 co-citations4 shared tech2 shared categoryspas
100match
obsidianhydraspa.com
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1 co-citations4 shared tech2 shared categoryspas
90match
alchemy406.com
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90match
leviospagb.com
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1 co-citations4 shared tech1 shared categoryspas
85match
indigomassagemn.com
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1 co-citations4 shared tech2 shared categoryspas
85match
summitmassageandyoga.com
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1 co-citations4 shared tech2 shared categoryspas
85match
gratefultonic.com
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1 co-citations4 shared tech2 shared categoryspas
80match
deeswellnessstudio.com
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1 co-citations4 shared tech0 shared categoryhotels-and-motels
78match
nmassages.com
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75match
deepwavemassage.com
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1 co-citations4 shared tech1 shared categoryspas
75match
leoshalmt.com
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1 co-citations4 shared tech1 shared categoryspas
75match
rachelsartofmassage.com
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75match
studiomsalonandspafindlay.com
STUDIO M SALON AND SPA
1 co-citations4 shared tech1 shared categoryspas
75match
studiossalon.app
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1 co-citations4 shared tech1 shared categoryspas
75match
buzzellamassage.com
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1 co-citations4 shared tech1 shared categoryspas
75match
gracefulescape.com
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1 co-citations4 shared tech1 shared categoryspas
68match
sublimespaseattle.com
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68match
gananoqueheadspa.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.