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45match
bowmanam.com
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0 co-citations1 shared tech0 shared categorymetals-industry
45match
bowmandist.com
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0 co-citations1 shared tech0 shared categorymetals-industry
45match
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42match
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40match
kenyaprise.com
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0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
javago.com
NAMEGO! - Your Great Idea Needs a Great Keyword Domain! NAMEGO.COM
0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
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NAMEGO! - Your Great Idea Needs a Great Keyword Domain! NAMEGO.COM
0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
jhox.com
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40match
jianqunbaosys.com
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0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
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NAMEGO! - Your Great Idea Needs a Great Keyword Domain! NAMEGO.COM
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40match
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NAMEGO! - Your Great Idea Needs a Great Keyword Domain! NAMEGO.COM
0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
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NAMEGO! - Your Great Idea Needs a Great Keyword Domain! NAMEGO.COM
0 co-citations1 shared tech1 shared categorymarketing-and-advertising
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0 co-citations1 shared tech1 shared categorymarketing-and-advertising
40match
grapeserp.com
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gravincrm.com
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greetingsgo.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:

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.