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70match
havenedition.com
Luxury Bespoke Property Management UAE | Haven Edition
3 co-citations5 shared tech1 shared categoryreal-estate
70match
griffithpg.com
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kellysryan.com
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2 co-citations5 shared tech2 shared categoryreal-estate
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handsomere.com
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3 co-citations5 shared tech2 shared categoryreal-estate
66match
getrealwithpat.com
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3 co-citations2 shared tech2 shared categoryreal-estate-renting-and-leasing
65match
manaj-properties.com
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2 co-citations5 shared tech2 shared categoryreal-estate
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3 co-citations1 shared tech1 shared categoryreal-estate-buying-and-selling
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hamesmcdonoughrealestate.com
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3 co-citations1 shared tech1 shared categoryreal-estate-buying-and-selling
64match
bakergrouprealty.com
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2 co-citations3 shared tech2 shared categoryreal-estate
64match
gratadev.com
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3 co-citations5 shared tech1 shared categoryreal-estate
63match
bayungroup.com
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3 co-citations1 shared tech1 shared categoryvacation-properties
63match
cballardrealty.com
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3 co-citations1 shared tech1 shared categoryreal-estate-buying-and-selling
63match
corymango.com
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2 co-citations5 shared tech1 shared categoryreal-estate-buying-and-selling
63match
marcusohansen.com
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3 co-citations3 shared tech2 shared categoryreal-estate
62match
fgte.com
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3 co-citations3 shared tech2 shared categoryreal-estate
62match
kellylemon.com
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3clovergroup.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.