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61match
hg-constructionservices.com
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0 co-citations7 shared tech2 shared categoryconstruction-industry
59match
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brunswickpharma.co.uk 🇬🇧
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59match
cfbusinessservices.co.uk 🇬🇧
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1 co-citations7 shared tech0 shared categorymanagement-consulting-industry
58match
dharmacor.com
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57match
4siteserviceslondon.com
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54match
kjfabrications.com
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2 co-citations4 shared tech1 shared categoryconstruction-industry
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asfgroup.co.uk 🇬🇧
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1 co-citations7 shared tech0 shared categorybusiness-utilities
52match
4diamondcontractors.com
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1 co-citations0 shared tech2 shared categoryconstruction-industry
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geometrastorani.com
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1 co-citations0 shared tech2 shared categoryconstruction-industry
51match
mansellcontracting.com
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51match
aeg-us.com
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0 co-citations7 shared tech1 shared categorycivil-engineering-industry
51match
hctjanitorial.com
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0 co-citations6 shared tech1 shared categoryconstruction-industry
50match
gridrockhq.com
Commercial Drywall Services | Columbia, SC | Grid Rock
1 co-citations3 shared tech2 shared categoryconstruction-industry
50match
hanginoverhavasu.com
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1 co-citations7 shared tech0 shared categoryaviation-industry
49match
bbwiebemovers.com
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1 co-citations1 shared tech2 shared categoryconstruction-industry
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bbwiebe.com
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1 co-citations1 shared tech2 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.