Piperic Business Intelligence

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桃源县博爱幼儿园 · ranked by category · tech stack · backlink co-citation

苏州工业园区翡翠幼儿园

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

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4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

延寿县加信米业有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

海安县城东镇南屏小学

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

湖北省鹤峰县实验中学

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

吉林省健爱堡家庭服务有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

北京华云博瑞科技发展有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

黑龙江爱农复合肥料有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

广东科米曼智能设备有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

仪陇县阿哥食品有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

浙江麦田网络科技有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

上海帆惠淑网络科技有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

海口市满课教育科技有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

深圳市智凌无线科技有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

杭州市江干区图书馆

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

金华市规划与地理信息中心

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

湖南嘉港经贸有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

海口相爱相亲网络科技有限公司

4 co-citations2 shared tech1 shared categorylotteries-and-scratchcards

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:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

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.