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上海尼诗翔商贸有限公司 · ranked by category · tech stack · backlink co-citation
66match
anjosi.com
上海尼诗翔商贸有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
59match
gelinb.com
邢台微熬商贸有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
58match
bjbeidanni.com
北京贝丹尼商贸有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
58match
hunyinnh.com
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2 co-citations5 shared tech1 shared categoryretail-industry
58match
huobizichan.com
北京中艺祥通商贸有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
57match
haojiezhiye.com
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3 co-citations5 shared tech1 shared categoryretail-industry
56match
iakwkj.com
上海京鸣蓓网络科技有限公司
3 co-citations5 shared tech1 shared categoryretail-industry
56match
fandous.com
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2 co-citations5 shared tech1 shared categoryretail-industry
55match
1vovo.com
贵州惠水千亿佳贸易有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
54match
gaolioutlets.com
宝鸡奥特莱斯-宝鸡欧陆风尚奥莱商业发展有限公司
2 co-citations5 shared tech1 shared categoryretail-industry
52match
gamesbard.com
义乌市补绪电子商务商行
3 co-citations5 shared tech1 shared categoryretail-industry
51match
baitayun.com
义乌市金翅电子商务商行
2 co-citations5 shared tech1 shared categoryretail-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.