Piperic Business Intelligence

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Sites similar to bakingcafe.com

♡ 행복을 만드는 베이킹카페에 오신걸 환영합니다 :-) ♡ · ranked by category · tech stack · backlink co-citation

전통발효식품 전문업체 범촌에 오신 것 을 환영합니다.

1 co-citations1 shared tech1 shared categoryfood-and-drink

d&b 베이킹몰 베이킹의 모든것! 베이킹 쇼핑몰

1 co-citations1 shared tech1 shared categorydesserts-and-baking

0 co-citations1 shared tech2 shared categoryfood-and-drink

제주세호해장국

1 co-citations1 shared tech1 shared categoryfood-and-drink

샐러드 정기배송 비티랩ㅣ포만감 있는 건강한 한끼

1 co-citations1 shared tech1 shared categoryfood-and-drink

마니커에프앤지

1 co-citations1 shared tech1 shared categoryfood-and-drink

장마을 공식 홈페이지

0 co-citations1 shared tech1 shared categoryfood-and-drink

황금농원식품

0 co-citations1 shared tech1 shared categoryfood-and-drink

제이바이커피 / jbycoffee

0 co-citations1 shared tech1 shared categoryfood-and-drink

arirangcatering.com

0 co-citations1 shared tech1 shared categoryfood-and-drink

자연 그대로 본즙

0 co-citations1 shared tech1 shared categoryfood-and-drink

참좋은고기

0 co-citations1 shared tech1 shared categoryfood-and-drink

chamhanfood.com

(주)참한식품

0 co-citations1 shared tech1 shared categoryfood-and-drink

0 co-citations1 shared tech1 shared categoryfood-and-drink

0 co-citations1 shared tech1 shared categoryfood-and-drink

0 co-citations1 shared tech1 shared categorynon-alcoholic-beverages

제과제빵의 모든것 베이킹얌

0 co-citations1 shared tech2 shared categorydesserts-and-baking

제과 제빵 베이킹 재료 전문 쇼핑몰

1 co-citations1 shared tech2 shared categorydesserts-and-baking

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.