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66match
jncfence.com
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4 co-citations1 shared tech2 shared categoryconstruction-industry
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anuskaengineering.com
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jejenkins.com
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3 co-citations2 shared tech2 shared categoryconstruction-industry
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3 co-citations2 shared tech2 shared categoryconstruction-industry
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dharamindustries.com
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4 co-citations3 shared tech1 shared categoryconstruction-industry
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52match
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4 co-citations2 shared tech2 shared categorycivil-engineering-industry
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aescotech.com
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3 co-citations1 shared tech2 shared categorycivil-engineering-industry
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geo-lines.com
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2 co-citations1 shared tech2 shared categorycivil-engineering-industry
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corcon-usa.com
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3 co-citations3 shared tech1 shared categoryconstruction-industry
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afcocont.com
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3 co-citations2 shared tech1 shared categoryconstruction-industry
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eleana-us.com
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3 co-citations3 shared tech0 shared categorymarketing-and-advertising
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bonnevillebuilders.com
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3 co-citations2 shared tech1 shared categoryconstruction-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.