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Kenshuman alternatives & similar sites

Ken Shuman — 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
kushaanshah.co ↗	64 match 1 shared topics	Kushaan Shah	Colombia en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dorreeg.com ↗	64 match 1 shared topics	DRG Communications \| Brand and Communications Strategy	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
blubirdcommunications.com ↗	64 match 1 shared topics	Marketing and Communications - BluBird	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
b-2.studio ↗	64 match 1 shared topics	B2 Studio \| The force behind meaningful work	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
buzzpublicrelations.net ↗	64 match 1 shared topics	Fractional Go-To-Market Communications \| BuzzPRBuzz Public Relations, LLC	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
amyfelknor.bio ↗	64 match 1 shared topics	Amy Felknor, MBA \| Dallas, TX \| Marketing Executive...	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	partial · 7
tryclaimsupply.com ↗	64 match 1 shared topics	Marsify — Marketing that speaks Human.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
betternow.now ↗	63 match 1 shared topics	BetterNow \| Human-first Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
qh-pr.com ↗	63 match 1 shared topics	Purpose-Driven PR, Sustainability PR, B2B Tech PR Specialists \| Quarter Horse PR	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
jeff-simpson-digital.com ↗	63 match 1 shared topics	Jeff Simpson Digital \| Marketing and Communications Consulting	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
botman.ninja ↗	63 match 1 shared topics	Botman - #1 SaaS Platform to Block Non-Human Traffic	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
andthensome.agency ↗	63 match 1 shared topics	& Then Some	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
datwumjnrfellowship.org ↗	63 match 1 shared topics	Daniel A. Twum Jnr. Fellowship	GH~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mbhw.org ↗	63 match 1 shared topics	mbhw - How to use strategy, culture, and communication to help your business do better	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
positivegood.com.au ↗	63 match 1 shared topics	Cleantech PR & Communication Marketing Agency - Positive Good	Australia en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mbhw.co ↗	63 match 1 shared topics	mbhw - How to use strategy, culture, and communication to help your business do better	Colombia en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kuikengroup.com ↗	63 match 1 shared topics	Kuiken Group \| Marketing Firm	en	marketing-and-advertising Spree Commerce	robotsllmsaihumans	emailphone	none
kunaalparmar.com ↗	63 match 1 shared topics	Kunal Parmar - Communications, Social Media, Design, Content	en	marketing-and-advertising WordPress	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.