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Herzlich willkommen auf der Unternehmensseite der SRS Vermögensverwaltungs-GmbH - SRS Group Deutschland — 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 Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
vdiv.de ↗	68 match 1 shared topics	VDIV Deutschland - Verband der Immobilienverwalter	Germany de	real-estate-industry TYPO3	robotsllmsaihumans	email phone	none
deinmultitalent.at ↗	67 match 1 shared topics	VIVAT Verwaltungs GmbH	Austria de	real-estate-industry	robotsllmsaihumans	email phone	none
red-biz.at ↗	66 match 1 shared topics	Red Biz - Herzlich willkommen	Austria de	real-estate-industry Joomla	robotsllmsaihumans	emailphone	none
midgroup.at ↗	66 match 1 shared topics	Shaping Ideas - Willkommen bei der MID und WM group : MID Group	Austria de	real-estate-industry WordPress	robotsllmsaihumans	emailphone	none
saferealestate.at ↗	66 match 1 shared topics	SAVE REAL ESTATE Vienna GmbH – Das Unternehmen	Austria de	real-estate-industry Webflow	robotsllmsaihumans	emailphone	none
obsido.biz ↗	66 match 1 shared topics	Obsido GmbH \| Immobilien, Dienstleistungen und Vermögensverwaltung	de	real-estate-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cityplace.at ↗	66 match 1 shared topics	CITY PLACE – Unternehmensvisitenkarte	Austria de	real-estate-industry	robotsllmsaihumans	email phone	none
corpus3.at ↗	66 match 1 shared topics	Willkommen bei Corpus³ - wir bauen auf Qualität	Austria de	real-estate-industry WordPress	robotsllmsaihumans	emailphone	none
2m-immobilien.com ↗	66 match 1 shared topics	2m-immobilien.com – Immobilien- und Vermögensverwaltungen	de	real-estate-industry WordPress	robotsllmsaihumans	emailphone	none
scoutgroup.at ↗	66 match 1 shared topics	Unternehmen - Scout24	Austria de	real-estate-industry TYPO3	robotsllmsaihumans	emailphone	none
hsliegenschaften.ag ↗	66 match 1 shared topics	Bau, Verwaltung und Bewirtschaftung von Liegenschaften aus einer Hand	de	real-estate-industry WordPress	robotsllmsaihumans	emailphone	none
sidw-group.com ↗	66 match 1 shared topics	Schmidt in der Weyen Unternehmensgruppe – Immobilien und Unternehmensverwaltung in Frankfurt am Main	de	real-estate-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
sidwgroup.com ↗	66 match 1 shared topics	Schmidt in der Weyen Unternehmensgruppe – Immobilien und Unternehmensverwaltung in Frankfurt am Main	de	real-estate-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
nowotnik.de ↗	65 match 1 shared topics	Start - Nowotnik Unternehmensgruppe	Germany de	real-estate-industry WordPress	robots llmsaihumans	emailphone	none
gubis.com ↗	65 match 1 shared topics	Hausverwaltung, Immobilienmanagement \| Gubis Immobilienservice GmbH	de	real-estate-industry	robotsllmsaihumans	emailphone	none
sim-pm.com ↗	65 match 1 shared topics	Ihr Partner für Immobilienverwaltung » SIM PM GmbH	de	real-estate-industry WordPress	robots llmsaihumans	email phone	none
area-wohnen.at ↗	65 match 1 shared topics	Startseite - AREA UNTERNEHMENSGRUPPE	Austria de	real-estate-industry	robotsllmsaihumans	emailphone	none
datascience-service.at ↗	65 match 1 shared topics	Willkommen bei DataScience Service GmbH	Austria de	real-estate-industry	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.