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Cascady – LinkedIn Content für Coaches & Berater | 15 Minuten. Zwei Posts. — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
4lead.org ↗	67 match 1 shared topics	4leads – E-Mail-Marketing für Content Creator	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
4leads.io ↗	67 match 1 shared topics	4leads – E-Mail-Marketing für Content Creator	de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
luxadigital.ch ↗	66 match 1 shared topics	Luxa Digital – Branding, Content & Web für KMU in Zürich & Schweiz	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
socify.at ↗	65 match 1 shared topics	SOCIFY – Content und Communication Management für Facebook Seiten & Facebook Global Pages & Facebook Parent/Child	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
camao.at ↗	65 match 1 shared topics	CAMAO – Digitalagentur aus Darmstadt \| Websites, LinkedIn & KI-Strategie	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cm-service.at ↗	65 match 1 shared topics	FRESH CONTENT - Klartext für Entscheider	Austria de	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
nuessle.biz ↗	65 match 1 shared topics	viingx – Die neue Art, Content zu denken	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
raeber-online-marketing.ch ↗	65 match 1 shared topics	Content- & Online-Marketing-Beratung & -Coaching für KMU	Switzerland de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
r-marketing-internet.ch ↗	65 match 1 shared topics	Content- & Online-Marketing-Beratung & -Coaching für KMU	Switzerland de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
seova.ch ↗	65 match 1 shared topics	Seova – Content Marketing für Schweizer KMU	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
steuerberater-app.at ↗	65 match 1 shared topics	Werbung & Marketing für Steuerberater \| Atikon	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
steuer-app.at ↗	65 match 1 shared topics	Werbung & Marketing für Steuerberater \| Atikon	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
techmarketing.at ↗	65 match 1 shared topics	Text – Story – Content • TechMarketing	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2ki.digital ↗	65 match 1 shared topics	2KI.Digital – Strategie, Content & KI für den Mittelstand	de	marketing-and-advertising Joomla	robotsllmsaihumans	emailphone	none
madd-agency.at ↗	65 match 1 shared topics	MADD Agency - Agentur für Content, Marketing & Digital Design	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
madd-agency.ch ↗	65 match 1 shared topics	MADD Agency - Agentur für Content, Marketing & Digital Design	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
erikvongregory.com ↗	64 match 1 shared topics	KI-Marketing für Brauereien: Bilder, Posts & Bewertungen \| EvGlab	Germany~ de	marketing-and-advertising	robots llmsaihumans	emailphone	none
maclu.ch ↗	64 match 1 shared topics	MACLU – CONTENTMARKETING	Switzerland de	marketing-and-advertising WordPress WooCommerce	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.