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97match
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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alixmack.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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4 co-citations8 shared tech1 shared categoryvideo-gaming
97match
guildshore.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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0yenflight.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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1harmonyhouselearning.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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2mprun.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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affiliateearnclicks.com
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4 co-citations8 shared tech1 shared categoryvideo-gaming
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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.