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67match
afrocab.app
Afro Cab
2 co-citations2 shared tech1 shared categoryauto-rentals
66match
getduma.com
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62match
apnigadi.com
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2 co-citations2 shared tech1 shared categoryauto-rentals
62match
bookingauto.com
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2 co-citations2 shared tech1 shared categoryauto-rentals
59match
hktaxigo.com
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2 co-citations1 shared tech1 shared categoryauto-rentals
58match
booknowtaxi.com
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1 co-citations4 shared tech1 shared categoryauto-rentals
57match
boundariesauto.com
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55match
maloc.com
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2 co-citations0 shared tech1 shared categoryauto-rentals
55match
mamdoo.app
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2 co-citations0 shared tech1 shared categoryauto-rentals
55match
jatras.com
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2 co-citations0 shared tech1 shared categoryauto-rentals
55match
getmarto.com
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2 co-citations0 shared tech1 shared categoryauto-rentals
54match
kansascitylimousine.com
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53match
bongicarrental.com
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0 co-citations3 shared tech1 shared categoryauto-rentals
53match
heycabs.com
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52match
jaobola.com
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51match
advancetaxiservice.com
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50match
iwrite4him.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.