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C O P Y W R I T I N G – Thomas Strosing – Texte, die verkaufen — 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
ki-lektorat.com ↗	61 match 2 shared topics	Texterin München \| Lektorat, SEO und professionelle Texte für B2B	de	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	email phone	none
ddoppler.com ↗	61 match 2 shared topics	Texter und Werbetexter in Innsbruck / Tirol - Dr. Doris Doppler \|	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
wikizentrum.info ↗	60 match 2 shared topics	Wikipedia Kompetenzzentrum	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
funklnaglneu.at ↗	60 match 2 shared topics	Home - funklnaglneu Marketingkommunikation - Michaela Funkl	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
autentio.at ↗	40 match 2 shared topics	autentio \| Agentur & Verlag für Corporate Publishing	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
medien-agentur.info ↗	33 match 1 shared topics	Medien Agentur – Index neu und verkaufsstark	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
textsells.com ↗	33 match 1 shared topics	TextSells – Damit sich dein Angebot verkauft wie Freibad-Pommes	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gastrobranding.at ↗	33 match 1 shared topics	Gastrobranding – developed by INFLUX	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marke-thing.blog ↗	33 match 1 shared topics	markeTHING – der Blog – Reden wir über Marke & Marketing	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
fans-follower-kaufen.com ↗	33 match 1 shared topics	Deutsche Follower kaufen - Verkauf von Likes aus Deutschland	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gaming-glove.com ↗	33 match 1 shared topics	L17.Digital – SEO-Agentur aus dem Sauerland \| Sichtbarkeit, die Vertrauen schafft	Germany~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
1up.deals ↗	33 match 1 shared topics	1UP – Artist Management – Influencer Marketing – Full Service Agentur	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
1up.gmbh ↗	33 match 1 shared topics	1UP – Artist Management – Influencer Marketing – Full Service Agentur	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
1up.management ↗	33 match 1 shared topics	1UP – Artist Management – Influencer Marketing – Full Service Agentur	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dachcom-onlinemarketing.com ↗	32 match 1 shared topics	Online Marketing – Ihre neue Superkraft	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
adametz.media ↗	32 match 1 shared topics	Kevin Adametz – Ich entwickle Markensysteme, die funktionieren	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
ctrklicks.com ↗	32 match 1 shared topics	textfaktor – Textoptimierung für mehr Klicks und Conversions	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
brandtelling.at ↗	32 match 1 shared topics	Brandtelling – Storytelling, das Marken und Menschen verbindet	Austria de	marketing-and-advertising WordPress	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.