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Der Immo Tip alternatives & similar sites

Immobilienmakler Dresden - Immobilien in Dresden verkaufen und vermieten — 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
ohnemakler.ch ↗	76 match 3 shared topics	ohne-makler \| Immobilien verkaufen und vermieten ohne Makler	Switzerland de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
ohne-makler.ch ↗	76 match 3 shared topics	ohne-makler \| Immobilien verkaufen und vermieten ohne Makler	Switzerland de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
jeromin-immobilien.de ↗	76 match 3 shared topics	Jeromin Immobilienmakler Stelle \| Verkauf \| Immobilienbewertung \| Vermietung	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
ac-immobilien.de ↗	76 match 3 shared topics	Immobilienmakler Speyer - Immobilienverkauf zum Top-Preis	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
kampmeyer-immobilien.de ↗	75 match 3 shared topics	Immobilienmakler Köln - KAMPMEYER Immobilien GmbH	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
kampmeyerimmobilien.de ↗	75 match 3 shared topics	Immobilienmakler Köln - KAMPMEYER Immobilien GmbH	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
kimimmobilien.de ↗	75 match 3 shared topics	KIM IMMOBILIEN Immobilienmakler in Schliengen	Germany de	real-estate-renting-and-leasing	robotsllmsaihumans	emailphone	none
jentz-immobilien.de ↗	74 match 3 shared topics	Jentz Immobilien \| Immobilienmakler für Tuebingen und Reutlingen	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
kerstingimmobilien.de ↗	74 match 3 shared topics	Kersting Immobilien Krefeld - Ihr Immobilienmakler	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
alsaol.de ↗	74 match 3 shared topics	Immobilienmakler München - Alsaol Immobilien GmbH	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kibm.de ↗	74 match 3 shared topics	Immobilienmakler Freiburg - Klein Immobiliengruppe	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
ip-immobilien.com ↗	74 match 3 shared topics	Immobilienmakler Holzkirchen - IP Immobilien aus Holzkirchen	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
next-immobilien.com ↗	74 match 3 shared topics	Next Immobilien \| Ihre Immobilienmakler in Linz	de	real-estate-buying-and-selling SilverStripe	robotsllmsaihumans	emailphone	none
nextimmobilien.com ↗	74 match 3 shared topics	Next Immobilien \| Ihre Immobilienmakler in Linz	de	real-estate-buying-and-selling SilverStripe	robotsllmsaihumans	emailphone	none
katip-immobilien.de ↗	73 match 3 shared topics	Immobilienmakler in Augsburg – Katip Immobilien GmbH	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
abendroth-quartier.de ↗	73 match 3 shared topics	Immobilienmakler Cuxhaven - JIL KOPERSCHMIDT IMMOBILIEN	Germany de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	email phone	none
kaiserstadt-immo.de ↗	73 match 3 shared topics	Immobilienmakler Aachen – Kaiserstadt Immobilien	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
kaiserstadt-immobilien-ac.de ↗	73 match 3 shared topics	Immobilienmakler Aachen – Kaiserstadt Immobilien	Germany de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	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.