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FEM intermedia - A media and publishing company — 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 Publishing Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
media-marketing.net ↗	67 match 2 shared topics	Publishers - Media Marketing \| Publishing and printing Northern Ireland	en	publishing-industry Jimdo	robotsllmsaihumans	emailphone	none
accupublishing.com ↗	67 match 2 shared topics	Accu Publishing	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
qcpublishing.com ↗	67 match 2 shared topics	QC Publishing, LLC	en	publishing-industry	robotsllmsaihumans	emailphone	none
1vppublishing.com ↗	66 match 2 shared topics	1VP Publishing - Internet Marketing for Business Growth	en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
3labspublishing.com ↗	65 match 2 shared topics	3 Labs Publishing – My self publishing site.	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rogue-publishing.com ↗	65 match 2 shared topics	Rogue Publishing - Your Guide to Creating and Marketing Digital Products	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mediaservices.one ↗	65 match 2 shared topics	Media Services – Media Services	en	publishing-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
crystalkeymedia.com ↗	64 match 2 shared topics	Welcome to Crystal Key Media - Crystal Key Media	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
brainjoltmedia.com ↗	64 match 2 shared topics	Brainjolt Media - Brainjolt	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
jerseypublishers.com ↗	64 match 2 shared topics	Jersey Publishers	en	publishing-industry	robotsllmsaihumans	emailphone	none
accucoms.com ↗	64 match 2 shared topics	Accucoms - Accurate Communications for Publishers and Libraries	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themilisitzagency.com ↗	64 match 2 shared topics	The Milisitz Agency \| Local Authority Through Publishing	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
thekindlepreneur.com ↗	64 match 2 shared topics	Kindlepreneur - Book Marketing for Self-Publishing Authors	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
1cityimage.com ↗	64 match 2 shared topics	Custom Brochures, Corporate Stores & Marketing Solutions \| District Publishing	United States~ en	publishing-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
breezemarkets.com ↗	64 match 2 shared topics	breezemarkets: Digital Media and Monetization Hub \| BreezeMarkets	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360bookmarketeers.com ↗	64 match 2 shared topics	Affordable Book Marketing Services Company	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
cunningham.tech ↗	64 match 2 shared topics	CUNNINGHAM.TECH Consulting – Digital Publishing, Advertising and Data Strategies by the Founder of the IAB Tech Lab	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
brasskangaroo.com ↗	63 match 2 shared topics	Publish quality content and get exposure for your work	en	marketing-and-advertising Reaction Commerce	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.