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90match
kenmarek.com
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1 co-citations2 shared tech2 shared categorybusiness
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1 co-citations2 shared tech2 shared categorybusiness
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1 co-citations2 shared tech2 shared categorymanagement-consulting-industry
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1 co-citations2 shared tech2 shared categorybusiness
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1 co-citations2 shared tech2 shared categorymanagement-consulting-industry
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dienggo.com
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80match
juliedengler.com
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1 co-citations2 shared tech1 shared categorybusiness
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kenfarnaso.com
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1 co-citations2 shared tech1 shared categorymanagement-consulting-industry
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kennethpadilla.com
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1 co-citations2 shared tech1 shared categorybusiness
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kylas.com
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1 co-citations2 shared tech1 shared categorybusiness
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manualtherapeuticsolutions.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.