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56match
corecontentzone.com
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0 co-citations5 shared tech1 shared categoryshopping
56match
elevatepointnet.com
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52match
genelleamber.com
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52match
electrowattwise.com
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52match
cedgroup.co.uk 🇬🇧
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50match
adlinepersonalised.com
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50match
bottlecapsco.com
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50match
countcompare.com
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50match
didarshop.com
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0 co-citations7 shared tech1 shared categoryshopping
48match
bagaanic.com
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48match
diamondgrainbats.com
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48match
diamondgrainco.com
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47match
ceponlinestore.com
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0 co-citations4 shared tech1 shared categoryshopping
47match
eletronest.com
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0 co-citations4 shared tech1 shared categoryshopping
46match
baoboox.com
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0 co-citations5 shared tech1 shared categoryshopping
46match
generalws.com
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0 co-citations3 shared tech1 shared categoryshopping
46match
georgiaglassfiber.com
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46match
kellys-studio.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.