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Shotworky.com – Professionelles Rhetorik- & Präsentationstraining — 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
vocalstudiotrack.com ↗	76 match 2 shared topics	VocalStudioTrack – Rhetorikseminare & Kommunikationstraining	de	vocational-training	robotsllmsaihumans	emailphone	none
mediovu.info ↗	70 match 2 shared topics	Mediovu.info – Rhetorik & Öffentliches Sprechen Kurs in Deutschland	de	vocational-training	robotsllmsaihumans	email phone	none
daniela-langer-coaching.de ↗	69 match 2 shared topics	Daniela Langer Coaching - Stimmtraining für professionelle SprecherInnen	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
crystal-rift.com ↗	68 match 2 shared topics	crystal-rift – Meisterkurse für öffentliches Sprechen in Deutschland	de	vocational-training	robotsllmsaihumans	emailphone	none
mellow-lynum.com ↗	68 match 2 shared topics	Mellow Lynum – Mit Stimme und Präsenz zum überzeugenden Auftritt	de	vocational-training	robotsllmsaihumans	emailphone	none
daswortwerk.de ↗	67 match 2 shared topics	wort:werk - kommunikationstraining	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
awolon.de ↗	67 match 2 shared topics	awolon – Deeskalationstraining und Gewaltprävention	Germany de	vocational-training TYPO3	robotsllmsaihumans	emailphone	none
professionellsprechen.ch ↗	66 match 2 shared topics	professionell sprechen vox&votum coaching - professionellsprechen.ch	Switzerland de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
arspersuadendi.de ↗	66 match 2 shared topics	Nils Noack - Rhetorik nach Maß - Trainer für Rhetorik	Germany de	vocational-training WordPress	robotsllmsaihumans	email phone	none
ausbildung-gong.de ↗	66 match 2 shared topics	Professionelle Ausbildung für Gongspieler by richard..sant subagh	Germany de	vocational-training	robotsllmsaihumans	email phone	none
annika-landgraeber.de ↗	66 match 2 shared topics	Annika Landgraeber - Training und Mediation - Home	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
vollekontrolle.com ↗	66 match 2 shared topics	Anti-Aggressions-Training – Volle Kontrolle	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dagmar-holzwarth.de ↗	66 match 2 shared topics	Dagmar Holzwarth – Training. Coaching. Mediation.	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
abenteuerstimme.com ↗	65 match 2 shared topics	Stimmtraining und Sprechcoaching vom Profi für alle Vielsprecher	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kurshalten.com ↗	65 match 2 shared topics	Wolf Training - Coaching - Mediation - Home	de	vocational-training	robotsllmsaihumans	emailphone	none
beam-bloom.com ↗	64 match 2 shared topics	Beam & Bloom Akademie – Sicher auftreten, überzeugend sprechen, nachhaltig begeistern.	de	vocational-training	robotsllmsaihumans	emailphone	none
auftrittstraining.ch ↗	64 match 2 shared topics	Auftreten? Aber sicher! AUFTRITTSTRAINING Simone Tschopp, Schweiz	Switzerland de	vocational-training Wix	robots llmsaihumans	email phone	none
anjagronewold.de ↗	64 match 2 shared topics	Anja Gronewold Training & Konzepte	Germany de	vocational-training	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.