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Home - Aesira · ranked by category · tech stack · backlink co-citation
52match
mariaiskanderauthor.com
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1 co-citations8 shared tech2 shared categorypoetry
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44match
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emberfoxx.com
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2 co-citations5 shared tech2 shared categorypoetry
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juliancroft.com
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1 co-citations9 shared tech1 shared categorybooks-and-literature
41match
jaimemarielove.com
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1 co-citations9 shared tech1 shared categorybooks-and-literature
41match
janebradfordauthor.com
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1 co-citations8 shared tech1 shared categoryfiction
41match
dharaparekh.com
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1 co-citations9 shared tech1 shared categorybooks-and-literature
40match
digiboct.com
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1 co-citations8 shared tech1 shared categorybooks-and-literature
40match
emcsullivan.com
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kennethtin.com
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39match
elibraryusa.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.