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45match
bolzonellagroup.com
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0 co-citations3 shared tech0 shared categoryenvironmental-services-industry
45match
redcloudnetwork.it 🇮🇹
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40match
studioaed.it 🇮🇹
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38match
pompeicasadicarita.it 🇮🇹
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0 co-citations3 shared tech0 shared categorynon-profit-organizations
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fanellistudio.it 🇮🇹
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31match
studioassociatodavinci.it 🇮🇹
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0 co-citations3 shared tech0 shared categorylegal-services-industry
28match
bbsdigitaladv.com
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0 co-citations2 shared tech1 shared categorymarketing-and-advertising
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27match
confimimeccanica.it 🇮🇹
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0 co-citations1 shared tech1 shared categorymarketing-and-advertising
26match
cactusmedia.it 🇮🇹
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0 co-citations2 shared tech2 shared categoryadvertising-industry
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25match
3dsurgeons.com
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25match
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0 co-citations0 shared tech1 shared categorymarketing-and-advertising
25match
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25match
castelnuovorevisioni.it 🇮🇹
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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.