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Stefan Gottwald: 🚀 SEO-Berater & Freelancer, Berlin — 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
247sem.rocks ↗	67 match 1 shared topics	247SEM.de \| Marc Stürzenberger – SEA & SEO Freelancer	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
247sem.com ↗	67 match 1 shared topics	247SEM.de \| Marc Stürzenberger – SEA & SEO Freelancer	Germany~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
steinert.digital ↗	66 match 1 shared topics	David Steinert – WordPress Freelancer & Sales Consultant \| KI-Automatisierung DACH	de	marketing-and-advertising Gambio	robotsllmsaihumans	emailphone	partial · 8
czysch.net ↗	66 match 1 shared topics	Online Marketing: SEO Beratung Berlin \| Stephan Czysch	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dygitized.io ↗	66 match 1 shared topics	Digitale Freelancer finden \| DYGITIZED® Expert Matching in 48h	Germany~ de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
stefangeiger.org ↗	65 match 1 shared topics	Stefan Geiger - Online-Systeme	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
debo.digital ↗	65 match 1 shared topics	Debo Digital - SEO, Social Media & E-commerce Agentur	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marcel-schrepel.biz ↗	64 match 1 shared topics	Marcel Schrepel \| SEO, SEA & Digital Marketing Consulting Berlin	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marcohaas.online ↗	64 match 1 shared topics	Marco Haas - Onlinemarketer & SEO Nerd	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
starskyandhutsch.com ↗	64 match 1 shared topics	Digital Marketing, Data Analytics & KI-Beratung ⎮ Berlin	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
starskyundhutsch.com ↗	64 match 1 shared topics	Digital Marketing, Data Analytics & KI-Beratung ⎮ Berlin	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
squadt.net ↗	64 match 1 shared topics	squadt: E‑Commerce- & Online Marketing Agentur aus Bielefeld	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
gaubitz.digital ↗	64 match 1 shared topics	Gaubitz digital - E-Commerce & Online Marketing Beratung	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
dennislenhardt.com ↗	64 match 1 shared topics	Dennis Lenhardt - Freelance SEO Manager für mehr Umsatz & Traffic	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
medya-elements.net ↗	64 match 1 shared topics	Startseite - Medya Elements Freelance	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
fashiontech.berlin ↗	64 match 1 shared topics	SEO Beratung Berlin \| Ihr Experte für Suchmaschinenoptimierung	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
alexanderscholz.net ↗	64 match 1 shared topics	Online Marketing Strategieberatung	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
3viertel.com ↗	64 match 1 shared topics	3viertel - Online Marketing Beratung	de	marketing-and-advertising	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.