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Levelev alternatives & similar sites

Levelev Consulting — 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 Management Consulting Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
carboni-consulting.ch ↗	72 match 2 shared topics	CARBONI CONSULTING -	Switzerland de	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
nadinekashani.com ↗	70 match 2 shared topics	Nadine Kashani Marketing Consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fathima-ifthikar.ch ↗	70 match 2 shared topics	Fathima Ifthikar - Digital Consulting	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
katharina-feldmann.com ↗	69 match 2 shared topics	dr katharina feldmann - Consulting	de	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
mint-consulting.net ↗	69 match 2 shared topics	marketing intelligence consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mac-marketing.ch ↗	69 match 2 shared topics	Strategy. Digital. Growth. - MAC Marketing & Consulting GmbH	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
buhr-consulting.com ↗	68 match 2 shared topics	Buhr Consulting & Advisory \| brand marketing strategy	de	management-consulting-industry Wix	robots llmsaihumans	emailphone	none
foisingerconsulting.com ↗	68 match 2 shared topics	Foisinger Consulting \| Luxury Consulting	de	management-consulting-industry	robotsllmsaihumans	emailphone	none
expressions.ch ↗	68 match 2 shared topics	Wyss Consulting - Home \| Wyss Consulting	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
carstenbender.com ↗	67 match 2 shared topics	Carsten Bender - Hands-on Growth Consulting mit AI-Stack	de	management-consulting-industry	robots llmsaihumans	emailphone	partial · 8
100browsergames.com ↗	67 match 2 shared topics	netzkonsorten GbR \| Consulting Online Marketing	Germany~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lugi-consulting.ch ↗	67 match 2 shared topics	LUGI Consulting 🇨🇭 Webdesign & Marketing	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
triemerconsulting.com ↗	67 match 2 shared topics	Triemer Consulting – Kundenbindung für Deinen Erfolg.	de	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
alphoria-consulting.com ↗	67 match 2 shared topics	Alphoria Consulting – Digital Agency in Dubai	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bcs-consulting.ch ↗	66 match 2 shared topics	bcs consulting – Beratung für PR & Kommunikation	Switzerland de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
iundf-martech.ch ↗	66 match 2 shared topics	iundf Marketing Technology – MarTech Consulting & Marketing Automation	Switzerland de	marketing-and-advertising HubSpot	robotsllmsaihumans	email phone	none
brandancy.com ↗	66 match 2 shared topics	Brandancy Consulting – Project Management Factory	de	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
binger-consulting.ch ↗	66 match 2 shared topics	Binger Consulting GmbH \| Marketingberatung \| Schweiz	Switzerland de	marketing-and-advertising Wix	robots llmsaihumans	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.