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59match
hg-constructionservices.com
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4 co-citations2 shared tech2 shared categoryconstruction-industry
54match
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guhaas.com
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bbwiebe.com
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greencore-usa.com
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4 co-citations4 shared tech2 shared categoryconstruction-industry
49match
elcastillobuilders.com
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1 co-citations3 shared tech2 shared categoryconstruction-industry
49match
markeysservices.com
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4 co-citations4 shared tech2 shared categoryconstruction-industry
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greigconstruction.com
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1 co-citations4 shared tech2 shared categoryconstruction-industry
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ballardhomebuilders.com
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aescotech.com
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47match
cranesealcoating.com
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1 co-citations2 shared tech2 shared categoryconstruction-industry
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all1house.com
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4 co-citations4 shared tech2 shared categoryconstruction-industry
47match
brelandservices.com
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4 co-citations4 shared tech2 shared categoryconstruction-industry
46match
boundgroup.co.uk 🇬🇧
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46match
jak-cons.com
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jms-groundwork.com
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1 co-citations2 shared tech2 shared categoryconstruction-industry
46match
boluform.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.