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weblichter – KI-Governance & EU AI Act für den Mittelstand — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
leads-weblichter.com ↗	100 match 1 shared topics	weblichter – KI-Governance & EU AI Act für den Mittelstand	de	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
christian-kovac.at ↗	71 match 1 shared topics	CK – KI für den Mittelstand \| Dr. Christian Kovac	Austria de	artificial-intelligence	robotsllmsaihumans	email phone	none
mission42.ai ↗	71 match 1 shared topics	KI-Transformation für den Mittelstand – Mission42 KI-Programm	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
dcit-group.com ↗	71 match 1 shared topics	DCIT Group — KI-Beratung für den deutschen Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
legat.ai ↗	71 match 1 shared topics	legat.ai — AI-Betriebssystem für den europäischen Mittelstand	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
dea-nova.com ↗	71 match 1 shared topics	DEAnova — KI-Lösungen für den DACH-Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
legal-needs.ch ↗	71 match 1 shared topics	Das AI Agent Team für den Mittelstand \| Needs.expert	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
minkenberg.ai ↗	70 match 1 shared topics	minkenberg.ai — KI-Lösungen für den Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
autima.at ↗	70 match 1 shared topics	AUTIMA — AI-Agenten & Automatisierung für den Mittelstand	Austria de	artificial-intelligence	robots llmsaihumans	emailphone	none
zoon-ai.com ↗	70 match 1 shared topics	Zoon KI-Beratung \| KI-Transformation für den deutschen Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
flek-digital.com ↗	70 match 1 shared topics	Flek Digital – KI-Beratung & EU AI Act Compliance \| Daniel Flek	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
siegflow.ai ↗	70 match 1 shared topics	SiegFlow AI — Digitale Mitarbeiter für den Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
braviso.com ↗	69 match 1 shared topics	KI-FIT mit Matteo Grappasonno \| Schulungen & Coaching für den Mittelstand	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
mysoftwarelab.com ↗	68 match 1 shared topics	BAFA-Förderung KI-Beratung Mittelstand \| Bis zu 80% Zuschuss \| mysoftwarelab - KI-Automatisierung für den Mittelstand	de	artificial-intelligence	robots llmsaihumans	emailphone	none
geraldb.at ↗	66 match 1 shared topics	KI-Unterweisung EU AI Act \| KI-Workshop KMU Österreich \| ChatGPT & Claude Schulung – KI mit XHV	Austria de	artificial-intelligence	robots llmsaihumans	emailphone	none
lektorat.ai ↗	66 match 1 shared topics	Lektorat.ai – KI-gestütztes Lektorat für deutschsprachige Texte	de	artificial-intelligence	robots llmsaihumans	emailphone	none
kaizengrowth.ai ↗	66 match 1 shared topics	KAIZEN Growth AI – KI-Automatisierung für DACH	de	artificial-intelligence	robots llmsaihumans	emailphone	none
learnkaizengrowth.com ↗	66 match 1 shared topics	KAIZEN Growth AI – KI-Automatisierung für DACH	de	artificial-intelligence	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.