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看看券-十大品牌排行榜-热门品牌优惠卷大全网站 · ranked by category · tech stack · backlink co-citation
85match
jinghehs.com
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1 co-citations1 shared tech1 shared categorycoupons-and-discounts
71match
jingyishou.com
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1 co-citations1 shared tech1 shared categoryshopping
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mall-union.com
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1 co-citations1 shared tech1 shared categorysales-and-promotions
68match
hnxiaowanshu.com
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1 co-citations1 shared tech1 shared categorycoupons-and-discounts
66match
3uvip.com
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jiejingou.com
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1 co-citations1 shared tech0 shared categoryshopping
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hexin-china.com
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1 co-citations1 shared tech0 shared categoryhousehold-supplies
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jichenqimo.com
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1 co-citations1 shared tech0 shared categoryparty-supplies-and-decorations
65match
hangfamach.com
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1 co-citations1 shared tech0 shared categoryhousehold-supplies
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aoseashui.com
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1 co-citations1 shared tech0 shared categoryshopping
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bolaiqi.com
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kangxuntech.com
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1 co-citations1 shared tech0 shared categorygrocery-shopping
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maiyamama.com
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mangjoek.com
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1 co-citations1 shared tech0 shared categorygrocery-shopping
65match
iweilf.com
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1 co-citations1 shared tech0 shared categorygrocery-shopping
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jiangsihui.com
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1 co-citations1 shared tech0 shared categorygrocery-shopping
65match
jiayatranding.com
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1 co-citations1 shared tech0 shared categoryhousehold-supplies
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1 co-citations1 shared tech0 shared categoryshopping

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.