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65match
jjhanna.com
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0 co-citations2 shared tech1 shared categoryvideo-production
55match
joesearle.com
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0 co-citations2 shared tech1 shared categoryvideo-production
55match
elsadossantos.com
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51match
kansascityaerials.com
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0 co-citations2 shared tech1 shared categoryvideo-production
51match
hamiltonfilmboard.com
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0 co-citations2 shared tech1 shared categoryvideo-production
50match
joelbrix.com
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0 co-citations2 shared tech1 shared categoryvideo-production
50match
juliebmedia.com
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0 co-citations2 shared tech1 shared categoryvideo-production
50match
kendallwebster.com
Kendall Webster
0 co-citations2 shared tech1 shared categoryvideo-production
50match
kizuati.com
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50match
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50match
hassantheeditor.com
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0 co-citations2 shared tech1 shared categoryvideo-production
50match
aerialfiction.com
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0 co-citations1 shared tech1 shared categoryvideo-production
50match
aerialvideo4u.com
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0 co-citations1 shared tech1 shared categoryvideo-production
50match
anumitfilms.com
Anumit Films | Film & Music Video Production
0 co-citations2 shared tech1 shared categoryvideo-production
50match
devwelch.com
Devin Welch
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50match
dianaproductions.com
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0 co-citations1 shared tech1 shared categoryvideo-production
50match
digital-buckets.com
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0 co-citations1 shared tech1 shared categoryvideo-production
50match
elevatedmediafl.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.