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Awcom alternatives & similar sites

Startseite - Wollmann - Kanzlei für IT & Datenschutz | 56656 Brohl-Lützing — 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
notix-datenschutz.de ↗	68 match 1 shared topics	Startseite - NOTIX	Germany de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
netco-privacy.de ↗	68 match 1 shared topics	Startseite - netCo-privacy	Germany de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
nilsdomin.de ↗	68 match 1 shared topics	Nils Domin – Datenschutz- und IT-Sicherheitsberatung \| Startseite	Germany de	information-and-network-security	robots llmsaihumans	email phone	none
ink-solutions.eu ↗	67 match 1 shared topics	ink solutions GmbH – Datenschutz & Digitalisierung	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
3whiteelephants.com ↗	67 match 1 shared topics	3we-Datenschutz	de	information-and-network-security	robotsllmsaihumans	emailphone	none
3whiteelephants.net ↗	67 match 1 shared topics	3we-Datenschutz	de	information-and-network-security	robotsllmsaihumans	emailphone	none
3whiteelephants.org ↗	67 match 1 shared topics	3we-Datenschutz	de	information-and-network-security	robotsllmsaihumans	emailphone	none
nis-2-richtlinie.de ↗	67 match 1 shared topics	Startseite - NIS 2 Richtlinie	Germany de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
effizert.com ↗	67 match 1 shared topics	Datenschutz und Informationssicherheit für Unternehmen \| effiZERT GmbH	de	information-and-network-security	robotsllmsaihumans	email phone	none
mcdatenschutz.com ↗	67 match 1 shared topics	McDatenschutz - Der Schotte unter den Datenschützern	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-safety-link.net ↗	67 match 1 shared topics	Cyber&Data Protection LiR \| Datenschutz und IT-Sicherheit	de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
advokatinnen.ch ↗	67 match 1 shared topics	Internet, KI & Datenschutz Anwalt Schweiz \| Die Advokatur.ch	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
niederrhein-datenschutz.de ↗	66 match 1 shared topics	Startseite	Germany de	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
cs-datenwerk.com ↗	66 match 1 shared topics	Datenschutz- & IT-Beratung \| CS Datenwerk GmbH	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
data-defenders.eu ↗	66 match 1 shared topics	Data Defenders - IT-Sicherheit und Datenschutz	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
datadefenders.eu ↗	66 match 1 shared topics	Data Defenders - IT-Sicherheit und Datenschutz	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
itsecurityexperts.eu ↗	66 match 1 shared topics	sevian7 — Informationssicherheit, NIS-2 & Datenschutz \| Graz	European Union de	information-and-network-security	robotsllmsaihumans	email phone	none
cybersecurity24.org ↗	66 match 1 shared topics	ITtechNews - Cybersicherheit, TISAX, NIS2 & Datenschutz	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	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.