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86match
centroresidences.com
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3 co-citations4 shared tech2 shared categoryapartments
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costarhu.com
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47match
gregorydevelopments.com
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46match
cosmoloft.com
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1 co-citations4 shared tech1 shared categoryapartments
45match
greenbaumrentals.com
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45match
7locations.com
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40match
keppelbaytower.com
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1 co-citations4 shared tech0 shared categoryoffice-property
39match
bbhouseseattle.com
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39match
appfoliotesting.com
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39match
balfourproperties.com
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0 co-citations1 shared tech2 shared categoryreal-estate-renting-and-leasing
39match
jlmissouri.com
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38match
elitepm.com
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1 co-citations2 shared tech1 shared categoryreal-estate-renting-and-leasing
36match
georgetownapts.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.