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Kholwayo - An Entrepreneurship Journey — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nahomsereke.com ↗	72 match 1 shared topics	Nahom Sereke – Digital Marketing I User Acquisition I Entrepreneurship	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
licorne.team ↗	72 match 1 shared topics	Licorne Team \| Web entrepreneurs passionnés	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
deanitgl.com ↗	71 match 1 shared topics	Dean Fleming - Blog Networks & Entrepreneurship	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
socialsellingentrepreneur.net ↗	70 match 1 shared topics	Social Selling Entrepreneur	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mybloggertricks.com ↗	70 match 1 shared topics	MyBloggerTricks \| Bloggers To Entrepreneurs	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adamalbrecht.blog ↗	70 match 1 shared topics	Adam Albrecht Blog – A blog about self improvement, creativity, entrepreneurship, and advertising.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
getwinsapp.com ↗	70 match 1 shared topics	WINS — Market Intelligence for Entrepreneurs	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
nachea.com ↗	70 match 1 shared topics	Na Chea \| Digital Entrepreneur	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
beauchampandrew.com ↗	69 match 1 shared topics	Andrew Beauchamp - Entrepreneur & Founder	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agamechangerstrategy.com ↗	69 match 1 shared topics	A Game-Changer for Aspiring Affiliate Marketing Entrepreneurs Free ebook	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
meganpinterestmanager.com ↗	69 match 1 shared topics	Pinterest Manager for Entrepreneurs \| Megan O'Neill	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kellerblog.com ↗	68 match 1 shared topics	The Keller Blog \| Entrepreneurship and Business Management	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
belitsas.com ↗	68 match 1 shared topics	ATHANASIOS BELITSAS	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mindfulmarketingflow.com ↗	68 match 1 shared topics	Mindful Marketing Flow \| Strategic Marketing for Women Entrepreneurs	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
addmustardconsultancy.com ↗	68 match 1 shared topics	Brand, Marketing, Technology for Entrepreneurs \| addmustard	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
addmustardmarketing.com ↗	68 match 1 shared topics	Brand, Marketing, Technology for Entrepreneurs \| addmustard	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
addmustardigital.net ↗	68 match 1 shared topics	Brand, Marketing, Technology for Entrepreneurs \| addmustard	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
addmustarddigitalmarketing.com ↗	68 match 1 shared topics	Brand, Marketing, Technology for Entrepreneurs \| addmustard	en	marketing-and-advertising WordPress	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.