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Julia Loder - Marketing & PR für mehr Eigen-Präsenz — 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
loderwerk.com ↗	100 match 1 shared topics	Julia Loder - Marketing & PR für mehr Eigen-Präsenz	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kabo-marketing.de ↗	69 match 1 shared topics	Kanzleimarketing für mehr Mandanten, Mitarbeiter, Aufträge	Germany de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
certain-age.com ↗	69 match 1 shared topics	Certain Age \| Marketing & Mehr - HOME	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
andreenglet.de ↗	68 match 1 shared topics	home - Marketing aus Ulm für die Region	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
publicidadedison.com ↗	68 match 1 shared topics	Home - Marketing	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
smarton.ch ↗	68 match 1 shared topics	Strategisches Marketing & Sponsoring für Marken \| SMART:On	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
networkseiten.com ↗	68 match 1 shared topics	Die Nr. 1 Onlinemarketing Agentur für Network Marketing	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
james24.de ↗	68 match 1 shared topics	James24 - News, Marketing & Innovation für Zukunftsgestalter	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
agentur-halma.de ↗	68 match 1 shared topics	Werbeagentur Ulm \| Food Marketing Agentur für Lebensmittel	Germany de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
andrea-radermacher.de ↗	68 match 1 shared topics	Andrea Radermacher - PR + Marketing Strategien	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
angela-baur.de ↗	68 match 1 shared topics	AGENTUR BAUR - Marketing und Beratung für Web, Print, Event	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hospitalitymarketing.ai ↗	68 match 1 shared topics	Hospitality Marketing & more	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
j-stub.de ↗	68 match 1 shared topics	Online Marketing Stub - Mehr Traffic & Umsatz für Ihren Onlineshop	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
adon-marketing.de ↗	68 match 1 shared topics	AdON Marketing \| Steiger deine Fahrschul Onlinepräsenz	Germany de	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
baden-basketball.de ↗	68 match 1 shared topics	Karsten Maier - Marketing & Communication	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
comprende.ch ↗	68 match 1 shared topics	Comprende - Marketing & Kommunikation GmbH \| Digitale Strategie für KMU	Switzerland de	marketing-and-advertising	robotsllmsaihumans	email phone	none
jabmarketing.de ↗	68 match 1 shared topics	start - jab marketing & media	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
acquisa.net ↗	68 match 1 shared topics	Magazin für E-Commerce, Marketing & Vertrieb - acquisa	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.