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아임닭 · ranked by category · tech stack · backlink co-citation
51match
jinganebanchan.com
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2 co-citations5 shared tech2 shared categorygrocery-shopping
48match
allchan.com
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48match
geumchi.com
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3 co-citations4 shared tech2 shared categorygrocery-shopping
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mirinae-afl.com
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5 co-citations4 shared tech1 shared categorygrocery-shopping
45match
maknaettaljip.com
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3 co-citations3 shared tech2 shared categorygrocery-shopping
45match
heulkhyang.com
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keongdong.com
경동한과
1 co-citations5 shared tech2 shared categorygrocery-shopping
43match
jejunongbani.com
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5 co-citations4 shared tech1 shared categorygrocery-shopping
43match
jirisanshop.com
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41match
grfarmplus.com
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2 co-citations5 shared tech1 shared categorygrocery-shopping
40match
jejujf.com
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40match
4dakzip.com
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3 co-citations2 shared tech2 shared categorygrocery-shopping
39match
geonfood.com
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2 co-citations3 shared tech2 shared categorygrocery-shopping
39match
banilafruits.com
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39match
booilfood.com
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39match
heungbuja.com
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2 co-citations2 shared tech2 shared categorygrocery-shopping
38match
fffbakery.com
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matjaengi.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.