Piperic Business Intelligence

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만보시루 · ranked by category · tech stack · backlink co-citation

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2 co-citations0 shared tech1 shared categoryfitness-and-exercise

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이창현정형외과

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0 co-citations1 shared tech1 shared categoryfitness-and-exercise

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0 co-citations2 shared tech1 shared categoryfitness-and-exercise

만보 스포츠 – 발바닥을 주무르는 자, 세상을 지배한다

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genupilates.com

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0 co-citations1 shared tech1 shared categoryfitness-and-exercise

0 co-citations1 shared tech1 shared categoryfitness-and-exercise

0 co-citations1 shared tech1 shared categoryfitness-and-exercise

건강/운동/일상플러스 – 집에서 할수있는 운동,평소 허리 통증에 시달리는 상황

0 co-citations1 shared tech1 shared categoryfitness-and-exercise

coremuseums.com

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create-orbit.com

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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.