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S.E.S. Mayer – Information — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
imsec.com ↗	70 match 1 shared topics	IMSEC – Information Management and Security	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
purple22.de ↗	69 match 1 shared topics	purple22 Information Security	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
poru-wims.de ↗	68 match 1 shared topics	WIMS – Wach-Informations-Monitor-System	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dsb-luther.de ↗	67 match 1 shared topics	Datenschutz, IT- & Informationssicherheit	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
stephanfrank-datenschutz.com ↗	67 match 1 shared topics	SFC \| DATENSCHUTZ & INFORMATIONSSICHERHEIT	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
infosec-x.com ↗	67 match 1 shared topics	Information Security Experts - Home	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
dskc.de ↗	66 match 1 shared topics	DSKC – Datenschutz und Informationssicherheit für Unternehmen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
priolan.de ↗	66 match 1 shared topics	Datenschutz und Informationssicherheit - PRIOLAN GmbH	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
inceptum-it.com ↗	66 match 1 shared topics	Jörg Iffländer \| Datenschutz & Informationssicherheit	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dsinf.de ↗	66 match 1 shared topics	Informationssicherheit und Datenschutz - Connetix	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
b-secure.ch ↗	65 match 1 shared topics	Information Security Professional Services \| B-Secure	Switzerland de	information-and-network-security Pimcore Commerce	robotsllmsaihumans	emailphone	none
lars-niggemann.com ↗	65 match 1 shared topics	Experte für Krisenkommunikation und digitale Informationsbedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
larsniggemann.com ↗	65 match 1 shared topics	Experte für Krisenkommunikation und digitale Informationsbedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
quantus-informatics.de ↗	65 match 1 shared topics	Quantus Informatics - Zutrittskontrolle mit System.	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
efficert.de ↗	65 match 1 shared topics	Datenschutz und Informationssicherheit für Unternehmen \| effiZERT GmbH	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
effizert.de ↗	65 match 1 shared topics	Datenschutz und Informationssicherheit für Unternehmen \| effiZERT GmbH	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
drn-informatik.de ↗	64 match 1 shared topics	drn:informatik - IT-Sicherheit & Datenschutz	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
quadcom.de ↗	64 match 1 shared topics	quadcom – IT Solutions	Germany de	information-and-network-security WordPress	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.