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76match
cothams.com
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2 co-citations4 shared tech1 shared categorybars-and-restaurants
71match
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70match
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69match
greatergermantown.com
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2 co-citations4 shared tech1 shared categorybars-and-restaurants
68match
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68match
gethighattheci.com
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67match
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65match
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65match
grinderzee.com
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64match
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2 co-citations2 shared tech1 shared categorybars-and-restaurants
64match
aaryavisioninfratech.in 🇮🇳
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64match
diablosburgers.com
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1 co-citations4 shared tech1 shared categorybars-and-restaurants
63match
greenssarnia.com
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2 co-citations4 shared tech1 shared categorybars-and-restaurants
63match
boujeequebbq.com
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2 co-citations4 shared tech1 shared categorybars-and-restaurants
63match
generationspizzeria.com
Generations Pizza - Home
2 co-citations4 shared tech1 shared categorybars-and-restaurants
62match
baileyslocal.com
Bailey's Local - Bailey's Local - Home
2 co-citations4 shared tech1 shared categorybars-and-restaurants
62match
banhvivant.com
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lapromenadecafe.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.