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INORMS | ENGINEERING & BERATUNG — 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 Mechanical And Industrial Engineering Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
medical-engineering.net ↗	51 match 2 shared topics	Medical Engineering	de	manufacturing-industry	robotsllmsaihumans	email phone	none
jaeger-engineering-ttc.com ↗	50 match 2 shared topics	Jaeger Engineering Home	de	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jaeger-ttc-engineering.com ↗	50 match 2 shared topics	Jaeger Engineering Home	de	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jaeger-technology.com ↗	50 match 2 shared topics	Jaeger Engineering Home	de	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
digitron.org ↗	50 match 2 shared topics	Digitron Engineering Services	de	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	email phone	none
weight-works.com ↗	49 match 2 shared topics	- WeightWorks engineering	de	mechanical-and-industrial-engineering-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
360engineering.net ↗	49 match 2 shared topics	360 ENGINEERING + CONSULTING \|	de	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
thor-ke.com ↗	49 match 2 shared topics	TKE - THOR Knowledge Engineering	de	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
mechatronic-concept.com ↗	49 match 2 shared topics	BMK Bearbeitungstechnologien \|\| Engineering-Fertigung-Montage	de	mechanical-and-industrial-engineering-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
matzekengineering.com ↗	49 match 2 shared topics	Lennart Matzek – Engineering Portfolio	de	mechanical-and-industrial-engineering-industry Spree Commerce	robotsllmsaihumans	emailphone	none
cycleservice.com ↗	48 match 2 shared topics	Intelligent engineering for future generations \| Siempelkamp	de	mechanical-and-industrial-engineering-industry TYPO3	robotsllmsaihumans	emailphone	none
geka-energy.com ↗	48 match 2 shared topics	Intelligent engineering for future generations \| Siempelkamp	de	mechanical-and-industrial-engineering-industry TYPO3	robotsllmsaihumans	emailphone	none
geka-wenutec.com ↗	48 match 2 shared topics	Intelligent engineering for future generations \| Siempelkamp	de	mechanical-and-industrial-engineering-industry TYPO3	robotsllmsaihumans	emailphone	none
verinnerungen.ch ↗	48 match 2 shared topics	Engineering \| Consulting \| Research	Switzerland de	management-consulting-industry Joomla	robotsllmsaihumans	emailphone	none
schlafli.com ↗	48 match 2 shared topics	Honen, Schleifen, Bohren - Schläfli Engineering AG	de	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
vegel.ch ↗	47 match 2 shared topics	VEGEL Engineering – Change of Perspective	Switzerland de	manufacturing-industry WordPress	robotsllmsaihumans	email phone	none
webdesign-muenchen.com ↗	46 match 2 shared topics	Wack Engineering - Entwicklung, Zertifizierung und Fertigung	de	manufacturing-industry	robotsllmsaihumans	emailphone	none
gem-lv.com ↗	46 match 2 shared topics	GEM – Global Engineering and Managment – In work …	de	management-consulting-industry WordPress WooCommerce	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.