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Erfolgreich kommunizieren - 2SK Susanne Sägesser Kommunikation — 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
kath-kommunikation.com ↗	67 match 2 shared topics	Katharina Kath Kommunikation	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
act-uebersetzungen.ch ↗	62 match 2 shared topics	Übersetzungsbüro ACT Translations	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
human-network.eu ↗	40 match 2 shared topics	Human Network – Neugierig bleiben.	European Union de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
noblekom.de ↗	39 match 1 shared topics	noble kommunikation \| willkommen	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mpower-marketing.at ↗	38 match 1 shared topics	mPOWER \| Marketing.Kommunikation	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
der-fritz.at ↗	38 match 1 shared topics	DERFRITZ \| Grafik, Fotografie, Web, Unternehmenskommunikation	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
derfritz.at ↗	38 match 1 shared topics	DERFRITZ \| Grafik, Fotografie, Web, Unternehmenskommunikation	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
digitalchange.at ↗	38 match 1 shared topics	kraftwerk - Agentur für neue Kommunikation	Austria de	marketing-and-advertising	robotsllmsaihumans	email phone	none
ninaconze.de ↗	38 match 1 shared topics	Nina Conze – PR-Beraterin & Kommunikationsexpertin aus Hamburg	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
effekt-e.com ↗	38 match 1 shared topics	Feine Boutique für Kommunikation & Coaching, Bern	de	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
die-macherin.at ↗	38 match 1 shared topics	die-macherin Kommunikationsberatung Verena Brünings	Austria de	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
nolting-kommunikation.de ↗	37 match 1 shared topics	Sabine Nolting Kommunikation \| PR. Analog. Digital.	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
nextpose.de ↗	37 match 1 shared topics	Studio Brauers \| B2B-Marketing & Bewegtbildkommunikation	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
katrinkuhn.com ↗	37 match 1 shared topics	Kuhn Kommunikation	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ar-media.at ↗	37 match 1 shared topics	AR Media – Strategische Kommunikation, Performance Marketing & KI	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agentur-goldenberg.ch ↗	37 match 1 shared topics	Marketing & Kommunikation - Agentur-Goldenberg	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
agenturgoldenberg.ch ↗	37 match 1 shared topics	Marketing & Kommunikation - Agentur-Goldenberg	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
brandangels.ch ↗	37 match 1 shared topics	Brandangels Zürich I Branding und Digitale Kommunikation	Switzerland de	marketing-and-advertising	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.