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ThePath Estates · ranked by category · tech stack · backlink co-citation
50match
hittamaklareimalmo.com
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
50match
digitalamaklarhuset.com
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
50match
gingientom.com
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0 co-citations1 shared tech2 shared categoryreal-estate
50match
digitalamaklarhuset.se 🇸🇪
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
40match
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36match
agoraretail.se 🇸🇪
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
35match
2ndhome.se 🇸🇪
2ndHome - Plattformen för delägda fritidsboenden
0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
35match
agentiz.se 🇸🇪
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
35match
alla-maklare.se 🇸🇪
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0 co-citations1 shared tech2 shared categoryreal-estate
30match
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30match
costatropicalestates.com
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28match
gissabostadspriset.se 🇸🇪
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0 co-citations1 shared tech2 shared categoryreal-estate-buying-and-selling
26match
allahem.se 🇸🇪
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25match
allajanian.com
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25match
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25match
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24match
estatech.se 🇸🇪
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24match
estatec.se 🇸🇪
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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.