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Immobilie verkaufen in Linz & Immobilien Jobs | linzer-in.at — 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
vorarlbergerin.com ↗	84 match 1 shared topics	Immobilie verkaufen in Vorarlberg & Immobilien Jobs \| vorarlbergerin.at	de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
riwa-immobilien.de ↗	74 match 1 shared topics	Home Immobilie verkaufen - RIWA Immobilien	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rhoenimmobilien.de ↗	74 match 1 shared topics	Immobilie in der Rhön verkaufen \| Rhön Immobilien	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	email phone	none
kloss-immobilien.de ↗	73 match 1 shared topics	Kloss Immobilien \| Immobilien kaufen & verkaufen	Germany de	real-estate-buying-and-selling Wix	robots llmsaihumans	emailphone	none
viva-immobilia.com ↗	72 match 1 shared topics	Immobilienmakler Düsseldorf – Kaufen & Verkaufen \| VIVA Immobilia	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
ankaufen.immo ↗	72 match 1 shared topics	Nussgräber Immobilien kauft Ihre Immobilie	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ankaufen.immobilien ↗	72 match 1 shared topics	Nussgräber Immobilien kauft Ihre Immobilie	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
s-immo-hd.de ↗	72 match 1 shared topics	S-Immobilien Heidelberg - Immobilien kaufen oder verkaufen	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kochan-immobilien.de ↗	72 match 1 shared topics	KOCHAN Immobilien GmbH - Wir kaufen Ihre Immobilie	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
anwaltskanzlei.bayern ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
awz.immobilien ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
bestattungsversicherung.wien ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
bestattungsvorsorge.berlin ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ablebensversicherung.bayern ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ablebensversicherung.berlin ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ackerland.bayern ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
agraringenieur.bayern ↗	72 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
minderheitsbeteiligung.com ↗	72 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.