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CSI² | Ihr Immobilienbüro des Vertrauens in Neuss und Mönchengladbach — 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
dima-nrw.de ↗	72 match 1 shared topics	Immobilienmakler Mönchengladbach - DIMA Immobiliencenter	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bellimmo.ch ↗	70 match 1 shared topics	Home \| BELLIMMO \| Immobilienbüro \| Schweiz	Switzerland de	real-estate-buying-and-selling Wix	robots llmsaihumans	emailphone	none
minderheitsbeteiligung.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
landeshauptmann.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
dienstvertrag.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
2-zimmerwohnung.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
3-zimmerwohnung.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
4-zimmerwohnung.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
vorsorge-immobilien.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
vorsorgewohnungen.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
vorvertrag.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
atelier-immobilien.de ↗	69 match 1 shared topics	Introseite - ImmobilienBüro Sauke 2020	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
aus-tiefstem-herzen.de ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
kreditgeber.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
kreditmanagement.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
motorsaege.com ↗	69 match 1 shared topics	Kaufen und Verkaufen von Immobilien in Österreich	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
daniellicht.de ↗	69 match 1 shared topics	Haus verkaufen in Bremen \| - LICHT IMMOBILIEN	Germany de	real-estate-buying-and-selling Jimdo	robotsllmsaihumans	emailphone	none
atlas-immo.de ↗	69 match 1 shared topics	atlas immobilien gmbh - Ihr kompetenter Heinz von Heiden Vertriebspartner	Germany 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.