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allod Immobilien- und Vermögensverwaltungsges. mbH & Co. KG — 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 Renting And Leasing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aeh-immobilien.de ↗	76 match 1 shared topics	AEH Hausverwaltung und Immobilienservice GmbH & Co. KG	Germany de	real-estate-renting-and-leasing	robots llmsaihumans	emailphone	none
ivg-rodleben.de ↗	74 match 1 shared topics	IVG Rodleben - Immobilien- und Verwaltungsservice GmbH - Home	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
kaldek-hv.de ↗	73 match 1 shared topics	Kaldek Haus- und Immobilienservice - Hausverwaltung	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
adora-hausverwaltung.de ↗	73 match 1 shared topics	+++ ADORA +++ Immobilien- und Hausverwaltung in Augsburg	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
karl-rauch-immobilien.de ↗	72 match 1 shared topics	Bagel Immobilien – Verwaltung & Vermietung \| NRW	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	partial · 8
jani-immobilien.de ↗	72 match 1 shared topics	JaNi Immobilien GmbH & Co. KG	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
iveb.de ↗	72 match 1 shared topics	Immobilienverwaltung Bonn	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
kabi-immobilienverwaltung.de ↗	72 match 1 shared topics	KaBi Immobilien & Hausverwaltung	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	email phone	none
aukofer.com ↗	72 match 1 shared topics	Aukofer GmbH & Co. KG – Immobilien und Hausverwaltung	de	real-estate-renting-and-leasing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
indata.ch ↗	72 match 1 shared topics	Herzog Immobilien & Verwaltung	Switzerland de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
2e-offices.de ↗	72 match 1 shared topics	Euler Property GmbH \| Immobilienverwaltung	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
ivs-hausverwaltung.de ↗	71 match 1 shared topics	IVS Immobilienverwaltung GmbH & Co.KG	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
ivs-iv.de ↗	71 match 1 shared topics	IVS Immobilienverwaltung GmbH & Co.KG	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
5franken.de ↗	71 match 1 shared topics	DaGeFra - Immobilienverwaltung	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
iv-mainz.de ↗	71 match 1 shared topics	IVM Immobilien Verwaltung Mainz	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
karl-mathissen.de ↗	71 match 1 shared topics	Hausverwaltung Immobilien Karl R. Mathissen IVD	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
ahlsen.de ↗	71 match 1 shared topics	Ahlsen Immobilienverwaltung Berlin	Germany de	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
ivsr.de ↗	71 match 1 shared topics	Immobilien Verwaltungs- und Service Rheinland GmbH	Germany de	real-estate-renting-and-leasing TYPO3	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.