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Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
0dos.com ↗	79 match 1 shared topics	天天操天天干天天添,久久成人无码午夜,色婷婷久久综合中文久久,国产午夜精品三级一区二区三区,91国内精品久久久影院优播,亚洲国产精品成人久久蜜臀,久久综合九色综合欧美久久久,精品国产在天天线2025	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
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mdt43.com ↗	78 match 1 shared topics	欧美日韩国产色综合一二三四,欧美激情一区二区亚洲专区,亚洲精品无码久久毛色,综合久久久久久久久五月,国产成人久久精品一区二区三区,久久久久久久久精品免费理论电影	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
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qkcchina.com ↗	78 match 1 shared topics	国产精品久久久久久精品麻豆,久久久久久久久性坐爱,综合久久亚洲中文字幕,亚洲&#	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
1-gpt.com ↗	78 match 1 shared topics	在线一区二区视频,久久综合一区二区,亚洲精品一区二区三区综合,亚洲午夜永久久久,久久久久精品香蕉免费看,99精品国产成人一区二区在线,在线视频中文字幕久久,国产精品十八久久久不卡	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
ctdcreations.com ↗	77 match 1 shared topics	精品久久久中文字幕区,亚洲精品久久久一区,久久久久精品国产色哟哟,好看AV中文	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
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cs-fsyinglong.com ↗	76 match 1 shared topics	国产aⅴ精品一区二区三区久久_亚洲精品久久久97精品久久久久亚洲午夜_精品免费久久久久久久_亚洲国产精品综合久久20_欧美AV无码成人精品区_国产午夜无码专区喷水_日本一区二区三区在线观看网站	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
huananchaxin.net ↗	76 match 1 shared topics	久久精品一区二区三区观看&亚洲午夜精品a片久久www慈禧&欧美国产另类久久久精	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
qjc39.com ↗	76 match 1 shared topics	国产精品久久久久久久久九色,久久精品成人欧美大片古装,91成人区人妻精品一区二区在线,强奸乱伦一区二区,红桃91人妻爽人妻爽,狠狠色婷婷久久一区二区三区性色,91色色网	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none
qu594.com ↗	76 match 1 shared topics	成人精品一区二区三区校园激情,69精品人妻一区二区三区,91久久精品成人网站探花,1024人妻一区二区三区,久久久久久黃色網站免費,久久久久人妻一区精品加勒比,精品久久久久久国产字幕	zh	adult-and-explicit-sexual-content	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.