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65match
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59match
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1 co-citations7 shared tech0 shared categoryaudio-production
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1 co-citations7 shared tech0 shared categoryworkshops-and-classes
48match
celiasampaio.com
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2 co-citations1 shared tech1 shared categoryfreelance-writing
47match
corinnejkawecki.com
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1 co-citations7 shared tech0 shared categoryvideo-production
46match
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1 co-citations7 shared tech0 shared categoryphotography
46match
cougler.com
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1 co-citations1 shared tech1 shared categoryfreelance-writing
45match
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1 co-citations1 shared tech1 shared categoryfreelance-writing
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0 co-citations7 shared tech0 shared categoryphotography
45match
aromascigarslounge.com
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45match
bbfimages.com
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45match
bblurreddd.com
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0 co-citations7 shared tech0 shared categoryphotography
45match
greenpostproduction.com
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0 co-citations7 shared tech0 shared categoryvideo-production
45match
greeninkmediaconsulting.com
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0 co-citations7 shared tech0 shared categorycontent-production
45match
a1managment.com
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appledapplesports.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.