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3 co-citations5 shared tech1 shared categorybusiness
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2 co-citations5 shared tech1 shared categorybusiness
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2 co-citations5 shared tech1 shared categorybusiness
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2 co-citations5 shared tech1 shared categorybusiness
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1 co-citations5 shared tech1 shared categorybusiness
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2 co-citations5 shared tech1 shared categorybusiness
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2 co-citations5 shared tech1 shared categorybusiness-utilities
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fhgwoodworking.com
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maloneglobalenergy.com
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3 co-citations5 shared tech0 shared categorypower-and-energy-industry
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mantrinltd.com
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3 co-citations1 shared tech1 shared categorymanagement-consulting-industry

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.