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셀앤비 공식 쇼핑몰 · ranked by category · tech stack · backlink co-citation
58match
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49match
graywaxing.com
그레이왁싱
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49match
cosolke.com
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4 co-citations2 shared tech2 shared categoryskin-care
47match
cospaniel.com
코스파니엘
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47match
cellhappyco.com
셀해피코
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46match
lapeacelajuly.com
라피스앤라줄리
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46match
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채윤614 공식 온라인스토어
4 co-citations3 shared tech1 shared categoryskin-care
45match
dewycos.com
듀이코스 듀이코스
3 co-citations2 shared tech2 shared categoryskin-care
44match
elbreathe.com
엘브리드
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44match
hamelbeauty.com
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4 co-citations1 shared tech2 shared categoryskin-care
43match
4ourskin.com
TUPS 에스테틱의 새로운 기준
4 co-citations0 shared tech2 shared categorybeauty
43match
cosrnd.com
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43match
ccanong.com
까농코스메틱
3 co-citations2 shared tech2 shared categoryskin-care
42match
chaewuri.com
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3 co-citations1 shared tech2 shared categoryskin-care
42match
cosnpeople.com
코스앤피플
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42match
bbankmall.com
뷰티뱅크몰 | 제노셀 · 닥터제노 · 노블젝션 공식 판매몰
2 co-citations2 shared tech2 shared categoryskin-care
42match
boomdeahdah.com
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4 co-citations2 shared tech1 shared categoryskin-care
42match
brecipe.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.