Piperic Business Intelligence

similar sites

Sites similar to gexingkeji.com

上海惘翼蛮网络科技有限公司 · ranked by category · tech stack · backlink co-citation

baichuanphoto.com

上海邱灯琦网络科技有限公司

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

maliangdaixie.com

山东柯创网络科技有限公司

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

jiayiqiangzhi.com

河南领米网络科技有限公司

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

hanfengwangluo.com

保定涵枫网络科技有限公司

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

greentreefood.com

河南领米网络科技有限公司

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

北京飞益网络科技有限公司

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

海南大聚会网络科技有限公司

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

东莞市奥驰网络科技有限公司

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

福建爱模玩网络科技有限公司

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

武汉市烟雨楼网络科技有限公司

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

呼伦贝尔天拓网络科技有限公司

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

上海尚东滨科技有限公司

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

上海佳峰涂装科技有限公司

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

上海精名医疗科技有限公司

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

上海奕护信息科技有限公司

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

杭州济扶科技有限公司

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

jiangyaokeji.com

四川江耀科技有限公司

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

海南尤月科技有限公司

3 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.