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Saxophonunterricht — 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 Musical Instruments →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
saxophonlehrerkoeln.com ↗	83 match 2 shared topics	Saxophonunterricht Köln-Neubrück	de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
geigenunterricht-zug.ch ↗	75 match 2 shared topics	Geigenunterricht Zug	Switzerland de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
jamstayguitar.com ↗	74 match 2 shared topics	Gitarrenunterricht JAMSTAY	de	workshops-and-classes	robotsllmsaihumans	emailphone	none
gitarrenunterrichtbern.ch ↗	72 match 2 shared topics	Gitarrenunterricht Bern	Switzerland de	musical-instruments Squarespace	robotsllmsaihumans	emailphone	none
trommelwirbel.ch ↗	69 match 2 shared topics	Schlagzeugunterricht in Biel \| Trommelwirbel	Switzerland de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
jakobpeham.com ↗	68 match 2 shared topics	Jakob Peham - Schlagzeugunterricht in Linz	de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
gitarrenunterrichtambodensee.ch ↗	68 match 2 shared topics	Gitarre lernen! - Gitarrenunterricht am Bodensee % %	Switzerland de	musical-instruments WordPress Lightspeed	robotsllmsaihumans	emailphone	none
trommelino.ch ↗	68 match 2 shared topics	Erstklassiger Schlagzeugunterricht - Eat Your Sticks	Switzerland de	musical-instruments WordPress WooCommerce	robotsllmsaihumans	emailphone	none
saxophon.com ↗	68 match 2 shared topics	Bastian Fiebig *Saxophon	de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
modern-drum-school.de ↗	67 match 2 shared topics	Schlagzeugunterricht \| Merseburg \|Modern Drum School	Germany de	workshops-and-classes WordPress	robotsllmsaihumans	email phone	none
gitarrenlehrer.ch ↗	67 match 2 shared topics	Gitarrenlehrer Schweiz \| Unterricht in Zürich, Bern & Basel	Switzerland de	musical-instruments WordPress	robotsllmsaihumans	emailphone	none
gitarrenschule-markou.ch ↗	67 match 2 shared topics	Gitarrenunterricht in Spreitenbach - Gitarrenschule Markou	Switzerland de	musical-instruments WordPress WooCommerce	robotsllmsaihumans	emailphone	none
saxofonschule.com ↗	66 match 2 shared topics	Introseite - saXofonschule.com	de	musical-instruments	robotsllmsaihumans	emailphone	none
gitarrenunterricht.ch ↗	66 match 2 shared topics	Gitarre spielen lernen im Gitarrenunterricht in Zürich	Switzerland de	musical-instruments WordPress WooCommerce	robots llmsaihumans	emailphone	none
mobiler-musikunterricht.de ↗	66 match 2 shared topics	Mobiler Musikunterricht Regensburg und Laaber mit Umgebung - Piano Drums Gitarre	Germany de	musical-instruments Wix	robotsllmsaihumans	email phone	none
monikabernhardt.de ↗	66 match 2 shared topics	Monika Bernhardt – Klavier & Gesangsunterricht	Germany de	musical-instruments WordPress WooCommerce	robotsllmsaihumans	email phone	none
moritzhauk.de ↗	66 match 2 shared topics	E-Bass Unterricht Fürth bei Moritz Hauk - Bass Unterricht Fürth	Germany de	workshops-and-classes Jimdo	robotsllmsaihumans	email phone	none
gitarrenunterricht-zgs.ch ↗	66 match 2 shared topics	Zürcher Gitarrenschule - Gitarrenunterricht mitten in Zürich	Switzerland de	musical-instruments	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.