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59match
featherfootedbuffalo.com
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0 co-citations4 shared tech1 shared categoryrunning-and-jogging
58match
cerritosxc.com
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1 co-citations4 shared tech1 shared categoryrunning-and-jogging
57match
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1 co-citations4 shared tech1 shared categoryrunning-and-jogging
55match
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55match
javelinarunning.com
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1 co-citations4 shared tech1 shared categoryrunning-and-jogging
55match
elenaseranova.com
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2 co-citations4 shared tech0 shared categoryherbs-and-supplements
53match
georgiayoyocontest.com
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0 co-citations3 shared tech1 shared categoryrunning-and-jogging
53match
breathecreatelove.com
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2 co-citations4 shared tech0 shared categorywellness
53match
adventurerunningco.com
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52match
2ndsole.com
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1 co-citations4 shared tech1 shared categoryrunning-and-jogging
52match
kyraplume.com
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1 co-citations4 shared tech0 shared categoryholistic-health
52match
aromatherapyauckland.com
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1 co-citations4 shared tech0 shared categoryholistic-health
52match
bagro-seeds.com
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1 co-citations4 shared tech0 shared categorynutrition
52match
balance-athletics.com
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1 co-citations4 shared tech0 shared categoryfitness-and-exercise
52match
barbararicottalac.com
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1 co-citations4 shared tech0 shared categoryalternative-medicine
52match
matrixwaterloo.com
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1 co-citations4 shared tech0 shared categoryphysical-therapy
51match
breakingbarriersrun.com
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2 co-citations2 shared tech1 shared categoryrunning-and-jogging
51match
mamaduckhikes.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.