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100match
aeroproctor.com
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1 co-citations1 shared tech2 shared categoryfood-allergies
100match
cellgrub.com
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1 co-citations1 shared tech2 shared categoryfood-allergies
68match
fetzerscake.com
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
65match
casamercedes.com.mx 🇲🇽
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60match
bakerboytampa.com
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1 co-citations0 shared tech1 shared categorydesserts-and-baking
60match
federhofersbakery.com
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
56match
jj-meats.com
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1 co-citations1 shared tech0 shared categoryfood-and-drink
55match
7chocolates.com
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
53match
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
52match
bougiepatisserie.com
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
52match
cedarcitycreamery.com
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52match
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1 co-citations1 shared tech0 shared categorynon-alcoholic-beverages
52match
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1 co-citations1 shared tech1 shared categoryfood-and-drink
51match
marcyjams.com
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51match
lapiconeria.com
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1 co-citations1 shared tech1 shared categorydesserts-and-baking
51match
anwar-alnidhal.com
انوار النضال
1 co-citations1 shared tech1 shared categorydesserts-and-baking
50match
maizteca.com
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1 co-citations0 shared tech0 shared categoryfood-and-drink
50match
malimbusfoods.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.