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Γεωδή ΑΕ μαρμελάδες σάλτσες αλείμματα · ranked by category · tech stack · backlink co-citation
34match
b2bwifi.gr 🇬🇷
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5 co-citations2 shared tech0 shared categorytelecommunications-industry
25match
elevplus.com
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4 co-citations2 shared tech0 shared categorypower-and-energy-industry
22match
automationtechnique.gr 🇬🇷
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3 co-citations2 shared tech0 shared categorymechanical-and-industrial-engineering-industry
22match
corvinotranslations.com
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21match
geoplanpc.com
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jpdfashiongroup.com
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20match
cosmidis.com
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0 co-citations0 shared tech1 shared categoryapparel-industry
19match
jinatsantrizou.com
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3 co-citations2 shared tech0 shared categorybusiness-and-finance
19match
georgiadisemporiki.com
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5bauditors.com
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3 co-citations1 shared tech0 shared categorybusiness-accounting-and-finance
19match
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3 co-citations2 shared tech0 shared categoryadvertising-industry
19match
digiastar.com
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4 co-citations2 shared tech0 shared categorymanagement-consulting-industry
18match
jmtopo.com
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18match
iwant2helptraining.com
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4 co-citations1 shared tech0 shared categorysales
18match
aggeliessalaminas.com
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3 co-citations2 shared tech0 shared categorysales
18match
gratalum.com
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1 co-citations2 shared tech0 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.