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Jon Clean alternatives & similar sites

Jon clean – Professionelle Büroreinigung Freising — 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 Business Utilities →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dg-gebaeudeservice.com ↗	73 match 1 shared topics	DG_Gebäudeservice - Professionelle Reinigung in NRW	de	business-utilities	robotsllmsaihumans	emailphone	none
ih-service.de ↗	72 match 1 shared topics	IH-SERVICE - Professionelle Reinigung für jeden Bedarf	DE de	business-utilities Weebly	robotsllmsaihumans	emailphone	none
crystalcleanmuc.com ↗	71 match 1 shared topics	Professionelle Reinigungsdienste für Ihre Räumlichkeiten	de	business-utilities Weebly	robotsllmsaihumans	emailphone	none
fensterfeen.com ↗	70 match 1 shared topics	Die Fensterfeen™ bieten professionelle Fensterreinigung für Unternehmen in Düsseldorf.	de	business-utilities Weebly	robotsllmsaihumans	email phone	none
dienst360.com ↗	69 match 1 shared topics	Professionelle Reinigungsfirma für einen sauberen Geschäftserfolg \| DIENST360	de	business-utilities WordPress WooCommerce	robotsllmsaihumans	email phone	none
ihrcleanteam.de ↗	69 match 1 shared topics	Ihrcleanteam Gebäudereinigung Hamburg und Büroreinigung	DE de	business-utilities	robots llmsaihumans	email phone	none
aydienstleistungen.com ↗	69 match 1 shared topics	Gebäudereinigung & Büroreinigung in Köln \| Ay Dienstleistungen	de	business-utilities Wix	robots llmsaihumans	emailphone	none
sauber-co.com ↗	68 match 1 shared topics	Reinigungsfirma Zürich \| Unterhalts- & Büroreinigung \| Sauber & Co.	de	business-utilities WordPress	robotsllmsaihumans	emailphone	none
ccgebaeudereinigung.com ↗	68 match 1 shared topics	C&C Gebäudereinigung Hamburg - Reinigung für Büros & Treppenhäuser	de	business-utilities Weebly	robotsllmsaihumans	emailphone	none
banwinterdienst.at ↗	68 match 1 shared topics	Reinigungsfirma Wien – Büro, Wohnung & Gebäudereinigung	AT de	business-utilities WordPress	robotsllmsaihumans	email phone	none
immo-clean.de ↗	66 match 1 shared topics	Reinigungsfirma Berlin \| Gebäudereinigung bei Immo-Clean GmbH	DE de	business-utilities WordPress Lightspeed	robots llmsaihumans	emailphone	none
saubercheck.com ↗	66 match 1 shared topics	SauberCheck – Digitale Reinigungskontrolle für Teams	de	business-utilities	robotsllmsaihumans	emailphone	none
sbgebaeudereinigung.com ↗	66 match 1 shared topics	Homepage - SB Gebaeudereinigung	de	business-utilities WordPress	robots llmsaihumans	emailphone	none
cavaler-agents.com ↗	65 match 1 shared topics	Checknora — Digitale Objekt-Einweisung für Reinigungsfirmen	de	business-utilities	robotsllmsaihumans	emailphone	none
cavaler-ai.com ↗	65 match 1 shared topics	Checknora — Digitale Objekt-Einweisung für Reinigungsfirmen	de	business-utilities	robotsllmsaihumans	emailphone	none
cavalerconnect.com ↗	65 match 1 shared topics	Checknora — Digitale Objekt-Einweisung für Reinigungsfirmen	de	business-utilities	robotsllmsaihumans	emailphone	none
cavalerintegrations.com ↗	65 match 1 shared topics	Checknora — Digitale Objekt-Einweisung für Reinigungsfirmen	de	business-utilities	robotsllmsaihumans	emailphone	none
cavalerki.com ↗	65 match 1 shared topics	Checknora — Digitale Objekt-Einweisung für Reinigungsfirmen	de	business-utilities	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.