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45match
kelseyirwin.com
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0 co-citations2 shared tech0 shared categoryaviation-industry
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jlaengine.com
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0 co-citations2 shared tech0 shared categoryautomotive-industry
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bazinnovations.com
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0 co-citations2 shared tech0 shared categorytechnology-industry
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bclenterprisesltd.com
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0 co-citations2 shared tech0 shared categoryretail-industry
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bioagromeat.com
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0 co-citations2 shared tech0 shared categoryfood-industry
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camposcorporate.com
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graphicarb.com
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0 co-citations2 shared tech1 shared categorymechanical-and-industrial-engineering-industry
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grayeduinnovations.com
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0 co-citations2 shared tech0 shared categoryeducation-industry
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3jsmac.com
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0 co-citations2 shared tech0 shared categorymanagement-consulting-industry
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anujmittalandco.com
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0 co-citations2 shared tech0 shared categoryretail-industry
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anypso.com
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0 co-citations2 shared tech0 shared categoryhuman-resources
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aparnakalra.com
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0 co-citations2 shared tech0 shared categorymedia-industry
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apexprollc.com
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0 co-citations2 shared tech0 shared categoryconstruction-industry
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apipk.com
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0 co-citations2 shared tech1 shared categorymanufacturing-industry
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appmogo.com
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0 co-citations2 shared tech0 shared categorymarketing-and-advertising
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bainsleycovington.com
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0 co-citations2 shared tech0 shared categorymanagement-consulting-industry
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bakerfish.com
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0 co-citations2 shared tech0 shared categorymanagement-consulting-industry
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cecarbide.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.