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digicomp | Weiterbildung in IT, Management, AI & 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
becoict.ch ↗	100 match 2 shared topics	digicomp \| Weiterbildung in IT, Management, AI & Marketing	Switzerland de	vocational-training Storyblok	robotsllmsaihumans	emailphone	none
beco-ict.ch ↗	100 match 2 shared topics	digicomp \| Weiterbildung in IT, Management, AI & Marketing	Switzerland de	vocational-training Storyblok	robotsllmsaihumans	emailphone	none
stackfuel.com ↗	69 match 2 shared topics	StackFuel \| Weiterbildung für Daten- und KI-Skills	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
alfatraining-live.net ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraininglive.net ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining24.net ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfa-training.asia ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.org ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.net ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.mobi ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.me ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.biz ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.asia ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfatraining.tv ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfa-training.mobi ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfa-training.biz ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfa-training.info ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	robotsllmsaihumans	email phone	none
alfajobs.info ↗	69 match 2 shared topics	alfatraining: Weiterbildung mit Bildungsgutschein	de	vocational-training Pimcore Commerce	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.