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Peter Steinberger — 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
petersteinberger.at ↗	100 match 2 shared topics	Peter Steinberger	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
pstec.at ↗	100 match 2 shared topics	Peter Steinberger	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
steipete.at ↗	100 match 2 shared topics	Peter Steinberger	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
summermeeting.at ↗	100 match 2 shared topics	Peter Steinberger	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
david-ott.de ↗	62 match 2 shared topics	David Ott's Blog – Machine Learning and other Stuff	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
stephan-gastwirtschaft.at ↗	61 match 2 shared topics	Hotshot \| AI Tools, Gadgets, Smart Home & How-To Guides	Austria de	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
alphafinder.de ↗	61 match 2 shared topics	AlphaFinder \| Discover Top AI Tools & Technology Reviews	Germany de	technology-and-computing	robotsllmsaihumans	emailphone	none
rjl.at ↗	61 match 2 shared topics	RJ Lindelof \| Head of Engineering \| HealthTech & EdTech	Austria de	artificial-intelligence	robots llmsaihumans	email phone	partial · 8
radu.at ↗	61 match 2 shared topics	Fullstack Developer — Sovereign AI Hubs Expert	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
sharkfest.at ↗	60 match 2 shared topics	Optimize Digital Experiences with AI Observability \| Riverbed	Austria de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
sebar.at ↗	60 match 2 shared topics	Sebastian Busch — Quality & Automation Engineer \| Portfolio	Austria de	technology-and-computing	robotsllmsaihumans	emailphone	none
danijelilisin.de ↗	60 match 2 shared topics	Danijel Ilisin — Project Archive	Germany de	technology-and-computing	robotsllmsaihumans	emailphone	none
depairet.de ↗	60 match 2 shared topics	Open Source Research and Development • RAW	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
nexeraapps.com ↗	60 match 2 shared topics	in this template would only ever produce a duplicate. The OG/Twitter/JSON-LD blocks below remain as static fallbacks because Helmet inserts its own data-rh-managed copies without duplicating those tag families on prerendered pages. --> { "@context": "https://schema.org", "@graph": [ { "@type": ["Org	United States~ de	technology-and-computing	robots llms ai humans	emailphone	partial · 8
stjepanovic.at ↗	60 match 2 shared topics	Zlatko Stjepanovic – Systems Architect für AI-Plattformen, Blockchain & Gaming	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
danielsogl.de ↗	60 match 2 shared topics	Daniel Sogl \| Microsoft MVP & Conference Speaker	Germany de	technology-and-computing	robotsllmsaihumans	emailphone	none
davidlambauer.de ↗	60 match 2 shared topics	David Lambauer	Germany de	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
qytera.net ↗	60 match 2 shared topics	Testautomatisierung, Performancetest & Software Testing Experten	Germany~ de	technology-and-computing Drupal	robotsllmsaihumans	email phone	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.