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Strategic Social Media · ranked by category · tech stack · backlink co-citation
60match
donatosleatherworksco.com
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6 co-citations3 shared tech0 shared categorymanufacturing-industry
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3 co-citations3 shared tech2 shared categorymarketing-and-advertising
58match
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57match
fidea-international.com
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amodup.com
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56match
gowithup.com
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56match
bkinstall.com
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55match
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5 co-citations3 shared tech0 shared categoryconstruction-industry
55match
cabenvironmental.com
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55match
gorevelocity.com
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54match
debkaminetzky.com
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54match
suadesocial.com
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2 co-citations3 shared tech2 shared categorymarketing-and-advertising
54match
businessimagelift.com
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4 co-citations3 shared tech1 shared categorymarketing-and-advertising
54match
deckagency.com
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3 co-citations3 shared tech1 shared categorymarketing-and-advertising
54match
6degreesofsocial.com
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2 co-citations3 shared tech2 shared categorymarketing-and-advertising
53match
bizadviceandsolutions.com
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3 co-citations3 shared tech1 shared categorymarketing-and-advertising
53match
1stmarketingsolutions.com
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2 co-citations3 shared tech2 shared categorymarketing-and-advertising
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studioluminati.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.