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55match
celticartworks.com
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2 co-citations2 shared tech2 shared categorydesign
41match
fdeasis.com
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41match
elinepires.com
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1 co-citations0 shared tech2 shared categoryfine-art
40match
margaretzita.com
Irish Artist Margaret Zita Coughlan
0 co-citations2 shared tech1 shared categoryfine-art
39match
dianejacky.com
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2 co-citations0 shared tech1 shared categoryfine-art
39match
jackieharley.com
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1 co-citations0 shared tech2 shared categoryfine-art
38match
ageddescreates.com
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1 co-citations0 shared tech2 shared categoryfine-art
35match
joergbachhofer.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
kannakistudio.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
kellycookstudio.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
mansurdance.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
manuellahuerta.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
ivanperard.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
jacobcordero.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
janefaybaker.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
jleguia.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
agenciaglifo.com
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0 co-citations0 shared tech2 shared categoryfine-art
35match
apfrier.com
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0 co-citations0 shared tech2 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.