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54match
barbarashoup.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
54match
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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lesliepowellahmadi.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
54match
joanapastro.com
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gerrihill.com
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fernandasantos.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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booksjk.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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jacksonwritereditor.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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celtictalesgalway.com
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greatbeachbooks.com
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0 co-citations5 shared tech1 shared categorybooks-and-literature
49match
kennethovermanbooks.com
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49match
jenniferjeanwriter.com
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2 co-citations2 shared tech1 shared categorypoetry
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maishajack.com
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2 co-citations2 shared tech1 shared categorybooks-and-literature
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devilsplaypublishing.com
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1 co-citations2 shared tech1 shared categoryfiction

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.