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100match
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85match
fidesabusiness.com
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3 co-citations4 shared tech1 shared categoryadvertising-industry
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3 co-citations4 shared tech0 shared categorymanagement-consulting-industry
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3 co-citations4 shared tech0 shared categorymanagement-consulting-industry
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adinsitu.com
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3 co-citations4 shared tech0 shared categorybusiness
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bppcac.com
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3 co-citations4 shared tech0 shared categorypharmaceutical-industry
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caylorconsulting.com
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3 co-citations4 shared tech0 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.