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60match
hollisterphotobooth.com
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7 co-citations0 shared tech1 shared categoryphotography
60match
devconphoto.com
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7 co-citations0 shared tech1 shared categoryphotography
50match
kenjams.com
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7 co-citations0 shared tech0 shared categoryfreelance-writing
50match
jackalopecrafting.com
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50match
jamiedell.com
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5 co-citations0 shared tech1 shared categoryphotography
50match
janetlewendonart.com
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7 co-citations0 shared tech0 shared categorypainting
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jig-global.com
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7 co-citations0 shared tech0 shared categoryworkshops-and-classes
50match
jimfarrant.com
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7 co-citations0 shared tech0 shared categorypainting
50match
greenerpainter.com
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7 co-citations0 shared tech0 shared categorypainting
50match
appliedsync.com
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7 co-citations0 shared tech0 shared categoryaudio-production
50match
bonsaibookswy.com
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7 co-citations0 shared tech0 shared categoryworkshops-and-classes
50match
georgejamesantiques.com
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7 co-citations0 shared tech0 shared categoryantiquing-and-antiques
50match
meditecuae.com
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7 co-citations0 shared tech0 shared categoryworkshops-and-classes
47match
bovophoto.com
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5 co-citations0 shared tech1 shared categoryphotography
46match
joepavlik.com
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7 co-citations0 shared tech0 shared categoryworkshops-and-classes
45match
ivyhouseantiques.com
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6 co-citations0 shared tech0 shared categoryantiquing-and-antiques
45match
janeboyceart.com
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6 co-citations0 shared tech0 shared categorypainting
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jl-liveedge.com
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6 co-citations0 shared tech0 shared categoryworkshops-and-classes

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.