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58match
maqtapublicidad.com
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1 co-citations2 shared tech1 shared categoryadvertising-industry
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1 co-citations5 shared tech1 shared categorymarketing-and-advertising
44match
javierortizbeltran.com
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1 co-citations6 shared tech0 shared categorybusiness-and-finance
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43match
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42match
conatex.mx 🇲🇽
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1 co-citations6 shared tech0 shared categorymanufacturing-industry
42match
bioestibas.com
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42match
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41match
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1 co-citations4 shared tech0 shared categorybusiness-accounting-and-finance
41match
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41match
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40match
fersasys.com
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40match
allcreativa.com
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39match
heymaavistudio.com
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39match
felixmanuelros.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.