similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to eulenburg-ph.com

Eulenburg Ph alternatives & similar sites

Eulenburg Private Homes — 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
jess-wohndesign.de ↗	64 match 3 shared topics	JESS Wohndesign GmbH - Home	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
belle-immo.ch ↗	64 match 3 shared topics	belle immo ag: Home	Switzerland de	real-estate-buying-and-selling TYPO3	robotsllmsaihumans	emailphone	none
ak-homeselect.de ↗	63 match 3 shared topics	AK-Homeselect GmbH	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
kanebley-immobilien.de ↗	62 match 3 shared topics	Home	Germany de	real-estate-buying-and-selling	robots llmsaihumans	emailphone	none
ackon-hausbau.de ↗	62 match 3 shared topics	Ackon Hausbau Riva Werder \| ackon-hausbau.de	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
7-homes.ch ↗	62 match 3 shared topics	sevenhomes – Immobilen ganz persöhnlich	Switzerland de	houses WordPress WooCommerce	robotsllmsaihumans	email phone	none
7homes.ch ↗	62 match 3 shared topics	sevenhomes – Immobilen ganz persöhnlich	Switzerland de	houses WordPress WooCommerce	robotsllmsaihumans	email phone	none
bku-real.ch ↗	61 match 3 shared topics	BKU Real AG – Wohnträume realisieren	Switzerland de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ivm24.de ↗	61 match 3 shared topics	immo-bau-mehr.de	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
kern-ki.de ↗	60 match 3 shared topics	Villa Zrno - 1984	Germany de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
anika-nawrath.de ↗	60 match 3 shared topics	Hans Schlüter – Zuhause in Bremen	Germany de	real-estate WordPress	robotsllmsaihumans	emailphone	none
doramarehomes.com ↗	60 match 3 shared topics	Startseite	de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
geisler-property.com ↗	60 match 3 shared topics	Geisler Property – Geisler Holding \| Geisler Ventures	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
proaltoimobiliaria.com.br ↗	60 match 3 shared topics	PRO ALTO IMOBILIARIA	Brazil de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
private-residences.ch ↗	46 match 2 shared topics	Luxusimmobilien in Kitzbühel - Private Residences	Switzerland de	real-estate-buying-and-selling TYPO3	robotsllmsaihumans	emailphone	none
baileybuyshouses.net ↗	46 match 2 shared topics	New Life Homes REI	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
privatepropertyag.ch ↗	45 match 2 shared topics	Private Property AG - Startseite	Switzerland de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
nikollbibaj-estate.ch ↗	45 match 2 shared topics	Nikollbibaj Private Estates – Diskrete Immobilienvermittlung Schweiz	Switzerland 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.