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Mr. Petz AI – KI-Umsetzung, Automatisierung & Marketing — 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
auftrags-akquise.de ↗	74 match 2 shared topics	Vollblut-KI - KI-Agenten die Marketing machen – Automatisierung für Unternehmen	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
configuraid.com ↗	68 match 2 shared topics	ConfigurAId – KI-gestütztes Wachstum für Marketing, Sales & Tech	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
digital-nalu.ch ↗	66 match 2 shared topics	Data & AI driven marketing - digital nalu	Switzerland de	artificial-intelligence WordPress	robots llmsaihumans	email phone	none
krambergdigital.com ↗	66 match 2 shared topics	KI-gestütztes Marketing für KMU - KrambergAI GmbH	de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
factnews.ch ↗	66 match 2 shared topics	4ki – Digitales Marketing für KMU	Switzerland de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
footballs.ch ↗	66 match 2 shared topics	4ki – Digitales Marketing für KMU	Switzerland de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dasteem.de ↗	66 match 2 shared topics	KI Beratung für Marketing-Teams München \| María Bohórquez	Germany de	artificial-intelligence	robotsllmsaihumans	email phone	partial · 8
pr-automation.com ↗	65 match 2 shared topics	PR Automation — KI-Systeme, die liefern.	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
anja-tessmann.de ↗	65 match 2 shared topics	Workshops & Schulungen für KI im Marketing \| SISTERHOOD	Germany de	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
be-digital.net ↗	65 match 2 shared topics	Be digital GmbH: Beratung zu SEO, KI & Digitalisierung	Germany~ de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
andreas-steyer.de ↗	64 match 2 shared topics	Andreas Steyer – Go-To-Market and AI Strategy – Go-To-Market Strategy, Marketing Services and AI Automation for Tech-Companies	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
pantra.io ↗	64 match 2 shared topics	pantra.io — GEO Monitoring & AI Visibility für deine Marke	de	artificial-intelligence	robots llmsaihumans	emailphone	none
cinogroup.ch ↗	64 match 2 shared topics	MARKETINGDIENST » CINO Group	Switzerland de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
guenstiges-hosting.ch ↗	64 match 2 shared topics	KI für KMU - Künstliche Intelligenz im Marketing	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
dietz.digital ↗	63 match 2 shared topics	Die Digitalagentur mit KI Know how ::: Wiesbaden ::: Germany	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
an-gezogen.de ↗	63 match 2 shared topics	Angezogen – KI Agentur	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
deinekiagentur.ch ↗	63 match 2 shared topics	Deine KI Agentur Schweiz	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
morayne.com ↗	63 match 2 shared topics	KI-Suche für Shopware \| Mehr Conversion – morayne	de	artificial-intelligence 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.