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72match
eliseenghwatercolors.com
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1 co-citations4 shared tech1 shared categoryfine-art
67match
elementalmetaldesign.com
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1 co-citations4 shared tech1 shared categoryfine-art
55match
jenniferlittleart.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
juliemoselen.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
juliebrennanfelt.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
kelseyink.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
kellycookstudio.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
manadaviescooke.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
manitobaarteducation.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
mansurdance.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
ivan-markovic.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
jackiebetelart.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
jamielpowell.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
janegraceart.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
aronsonart.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
aronleamanglass.com
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0 co-citations4 shared tech1 shared categoryfine-art
55match
brennamahn.com
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0 co-citations4 shared tech1 shared categorydesign
55match
apotterceramics.com
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0 co-citations4 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.