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68match
juliameinwaldwrites.com
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2 co-citations4 shared tech2 shared categorybooks-and-literature
67match
jejack.com
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2 co-citations4 shared tech2 shared categoryfiction
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64match
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1 co-citations4 shared tech2 shared categoryfiction
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1 co-citations4 shared tech2 shared categoryfiction
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2 co-citations4 shared tech2 shared categorybooks-and-literature
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1 co-citations4 shared tech2 shared categorybooks-and-literature
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1 co-citations4 shared tech2 shared categoryfiction
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1 co-citations4 shared tech2 shared categorybooks-and-literature
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2 co-citations4 shared tech2 shared categorybooks-and-literature
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adriandebeer.com
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59match
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1 co-citations4 shared tech2 shared categoryfiction
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1 co-citations5 shared tech1 shared categorybooks-and-literature
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janellrhiannon.com
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2 co-citations4 shared tech2 shared categorybooks-and-literature
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juliephend.com
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59match
kennethsmyson.com
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2 co-citations4 shared tech1 shared categorybooks-and-literature
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jackiesonnenberg.com
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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.