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71match
janiesharp.com
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2 co-citations14 shared tech2 shared categoryreal-estate-buying-and-selling
53match
laplaceparisienne.com
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1 co-citations3 shared tech2 shared categoryreal-estate-buying-and-selling
50match
kellycammackrealty.com
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1 co-citations2 shared tech2 shared categoryreal-estate
50match
hanafinfarm.com
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1 co-citations3 shared tech2 shared categoryreal-estate
50match
dfbpropertyservices.com
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1 co-citations2 shared tech2 shared categoryreal-estate
48match
baitalsaher.com
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1 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
48match
kellysryan.com
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1 co-citations3 shared tech2 shared categoryreal-estate-buying-and-selling
48match
janeschiff.com
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1 co-citations5 shared tech2 shared categoryreal-estate-buying-and-selling
48match
janicebenner.com
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1 co-citations5 shared tech2 shared categoryreal-estate-buying-and-selling
47match
costeraproperties.com
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1 co-citations4 shared tech2 shared categoryreal-estate-buying-and-selling
47match
bakergrouprealty.com
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1 co-citations3 shared tech2 shared categoryreal-estate
47match
centralindianarealestate.com
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1 co-citations3 shared tech2 shared categoryreal-estate
47match
corazonimmo.com
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1 co-citations5 shared tech2 shared categoryreal-estate-buying-and-selling
46match
jeffioriorealestate.com
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1 co-citations4 shared tech2 shared categoryreal-estate-buying-and-selling
46match
dianejacobi.com
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1 co-citations4 shared tech2 shared categoryreal-estate-buying-and-selling
46match
jjcandsons.com
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1 co-citations3 shared tech2 shared categoryreal-estate-buying-and-selling
46match
greatparkrealty.com
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1 co-citations3 shared tech2 shared categoryreal-estate-buying-and-selling
46match
jeffioriorealtor.com
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1 co-citations4 shared tech2 shared categoryreal-estate-buying-and-selling

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.