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Wohnung verkaufen in Berlin - Eigentumswohnung kaufen in Berlin — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Real Estate Buying And Selling →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
berlinoimmobiliare.com ↗	100 match 1 shared topics	Wohnung verkaufen in Berlin - Eigentumswohnung kaufen in Berlin	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
fancy-traces.com ↗	72 match 1 shared topics	Fancy Traces - Immobilienberatung in Berlin \| Wohnung kaufen in Deutschland	de	real-estate-buying-and-selling Spree Commerce	robotsllmsaihumans	emailphone	none
wirkaufendeineimmo.at ↗	72 match 1 shared topics	Wir kaufen deine Immo \| Haus zu verkaufen, Wohnung verkaufen	Austria de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
duwa.org ↗	69 match 1 shared topics	Immobilien SPO (Sankt-Peter-Ording) Makler - Haus Wohnung kaufen verkaufen	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
berlin-immo.com ↗	68 match 1 shared topics	Immobilien in Berlin und im Berliner Umland Land Brandenburg	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
makler.wien ↗	68 match 1 shared topics	Makler / Wohnung / Haus verkaufen Wien - Immobilienmakler Wien	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
ablebensversicherung.bayern ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ablebensversicherung.berlin ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ackerland.bayern ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
maklervergleich.bayern ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
whiskey.bayern ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
whisky.wien ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
minderheitsbeteiligung.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
stalleinrichtungen.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
faschingsdienstag.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
nebenerwerbslandwirt.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
nebenerwerbslandwirtschaft.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
2-zimmerwohnung.com ↗	68 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.