Piperic Business Intelligence

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

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1 co-citations1 shared tech0 shared categorybusiness-utilities

1 co-citations1 shared tech0 shared categoryenvironmental-services-industry

영진케미칼

1 co-citations1 shared tech0 shared categorymanufacturing-industry

::: 애드샘 - 제휴마케팅 전문가 :::

1 co-citations1 shared tech0 shared categorymarketing-and-advertising

:::봉제야:::

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mediworksglobal.com

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2 co-citations1 shared tech0 shared categoryenvironmental-services-industry

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2 co-citations1 shared tech0 shared categorybiotech-and-biomedical-industry

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2 co-citations1 shared tech0 shared categorycivil-engineering-industry

2 co-citations1 shared tech0 shared categorylogistics-and-transportation-industry

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2 co-citations1 shared tech0 shared categoryreal-estate-industry

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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.