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50match
ixplus.app
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0 co-citations4 shared tech1 shared categoryshopping
47match
a1pkg.com
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0 co-citations2 shared tech1 shared categoryshopping
46match
diamondgrainco.com
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0 co-citations3 shared tech1 shared categoryshopping
46match
diamondgrainbats.com
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0 co-citations3 shared tech1 shared categoryshopping
45match
makindoe.com
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0 co-citations3 shared tech1 shared categoryshopping
45match
balloonpreneuracademy.com
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0 co-citations5 shared tech0 shared categoryparty-supplies-and-decorations
45match
elitebidauctions.com
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0 co-citations2 shared tech1 shared categoryshopping
44match
bottlecapsco.com
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0 co-citations3 shared tech1 shared categoryshopping
44match
cordclaw.com
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0 co-citations3 shared tech1 shared categoryshopping
44match
2tailmin.com
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0 co-citations2 shared tech1 shared categoryhousehold-supplies
44match
bogatyrlimited.com
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0 co-citations2 shared tech1 shared categoryshopping
44match
genelleamber.com
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0 co-citations2 shared tech1 shared categoryshopping
44match
generalws.com
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0 co-citations2 shared tech1 shared categoryshopping
44match
georgiecaldwell.com
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0 co-citations2 shared tech1 shared categoryshopping
42match
majartworks.com
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0 co-citations2 shared tech1 shared categoryshopping
42match
maktubstorepe.com
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0 co-citations3 shared tech1 shared categoryshopping
42match
jireh67.com
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0 co-citations3 shared tech1 shared categoryshopping
42match
aromaroses.com
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0 co-citations2 shared tech1 shared categoryshopping

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.