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90match
jimcollinsartwork.com
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1 co-citations5 shared tech1 shared categoryfine-art
90match
binmade.com
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1 co-citations5 shared tech1 shared categoryfine-art
90match
dianelinquataart.com
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1 co-citations5 shared tech1 shared categoryfine-art
90match
godofbones.com
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1 co-citations5 shared tech1 shared categoryfine-art
85match
jfutter.com
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1 co-citations5 shared tech1 shared categorydesign
84match
juliebrennanfelt.com
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1 co-citations4 shared tech1 shared categoryfine-art
84match
kentalastudios.com
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1 co-citations4 shared tech1 shared categorydesign
84match
barbarabemisadams.com
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1 co-citations4 shared tech1 shared categoryfine-art
84match
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1 co-citations4 shared tech1 shared categoryfine-art
80match
janemilestheatre.com
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1 co-citations5 shared tech0 shared categorytheater
80match
jeaninehill.com
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1 co-citations4 shared tech1 shared categoryfine-art
80match
glendazapata.com
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1 co-citations4 shared tech1 shared categoryfine-art
77match
janefawkesart.com
Jane Fawkes - Home
1 co-citations5 shared tech1 shared categoryfine-art
77match
jennajacobsart.com
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1 co-citations5 shared tech1 shared categorydesign
77match
janedietrichart.com
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1 co-citations5 shared tech1 shared categoryfine-art
77match
jingersnap.com
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1 co-citations5 shared tech1 shared categorydesign
77match
bahridrancoli.com
BAHRI DRANCOLI - Home
1 co-citations5 shared tech1 shared categoryfine-art
76match
mangumart.com
Josh Mangum Art - Home
1 co-citations5 shared tech1 shared categoryfine-art

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.