similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to katrinburtscher.com

Katrinburtscher alternatives & similar sites

Katrin Burtscher – Hair and Make Up Artist, Vorarlberg — 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 Beauty →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
beautyartistin.com ↗	71 match 2 shared topics	Hair and Make-up Artist - Nicole Livaja - Stuttgart	de	hair-care Wix	robotsllmsaihumans	emailphone	none
anitaerceg.de ↗	71 match 2 shared topics	Hair and Makeup Artist - Anita Erceg	Germany de	hair-care Webflow	robotsllmsaihumans	email phone	none
evelyninnerhofer.com ↗	71 match 2 shared topics	Hair & Make Up Artist - Evelyn Innerhofer	de	beauty WordPress	robotsllmsaihumans	emailphone	none
anja-el-sawaf.de ↗	68 match 2 shared topics	Anja El Sawaf – Hair & Make-up Artist, Beauty Coach Website	Germany de	beauty WordPress	robotsllmsaihumans	email phone	none
anjakieselbach.de ↗	67 match 2 shared topics	Anja Kieselbach Friseur Berlin Mitte Balayage und Make Up Artist	Germany de	hair-care WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anneversin.de ↗	67 match 2 shared topics	Anne Versin – Hair & Make-up Artist & Art Direction	Germany de	beauty WordPress	robotsllmsaihumans	emailphone	none
silkeachenbach.com ↗	67 match 2 shared topics	Silke Achenbach \| Stylist, Hair & Makeup Artist	de	beauty WordPress	robotsllmsaihumans	emailphone	none
davincehair.de ↗	67 match 2 shared topics	DA VINCE HAIR AND MAKE-UP – Friseur- und Beautysalon in Köln	Germany de	beauty WordPress	robotsllmsaihumans	emailphone	none
haarstudio-tizianalanzguarino.ch ↗	66 match 2 shared topics	Haarstudio und Make up Artist Tiziana Lanz-Guarino - Start	Switzerland de	hair-care WordPress	robotsllmsaihumans	email phone	none
kimrasmussen.ch ↗	66 match 2 shared topics	Kim Rasmussen \| Kim Rasmussen Hair and Make Up Stylistin - Switzerland	Switzerland de	hair-care	robotsllmsaihumans	emailphone	none
dashaarwerk-annika-milbrath.de ↗	66 match 2 shared topics	DasHaarwerk Annika Milbrath, Diplom Coloristin und Make- up Artist	Germany de	hair-care Joomla	robotsllmsaihumans	emailphone	none
art-of-hair.de ↗	66 match 2 shared topics	ART OF HAIR • HAARE MAKE UP BEAUTY WELLNESS FRISEUR ZIRNDORF	Germany de	hair-care	robotsllmsaihumans	emailphone	none
fourhair.ch ↗	66 match 2 shared topics	FOUR hair & make up \| Coiffeur \| Bülach	Switzerland de	hair-care WordPress WooCommerce	robotsllmsaihumans	emailphone	none
daniela-verdano.de ↗	65 match 2 shared topics	Daniela Verdano – Hair & MakeUp	Germany de	hair-care WordPress	robotsllmsaihumans	emailphone	none
menstudio.ch ↗	65 match 2 shared topics	MENSTUDIO – Hair Studio in Bülach \| Termin buchen	Switzerland de	hair-care	robots llms aihumans	emailphone	partial · 2
be-hairandessentials.com ↗	65 match 2 shared topics	Coiffeursalon \| Be Hair And Essentials By Bernardina Berisha \| Luzern	de	hair-care Wix	robots llmsaihumans	emailphone	none
astridmichel.de ↗	65 match 2 shared topics	astrid michel - hair / make up	Germany de	beauty	robotsllmsaihumans	emailphone	none
lapassione-hairfashion.com ↗	65 match 2 shared topics	La Passione – Hair Fashion	de	hair-care	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.