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Pyng Digital | B2B SaaS Content Marketing & Growth — 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
thehilldigital.com ↗	76 match 1 shared topics	The Hill Digital \| Digital Marketing & Growth Agency	en	marketing-and-advertising Shopify	robots llmsaihumans	emailphone	none
thejasminejade.com ↗	76 match 1 shared topics	B2B SaaS Content Marketer — Jasmine-Jade	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
doreenkatwa.com ↗	74 match 1 shared topics	Doreen Katwa \| Content Marketing & Digital Strategy Expert	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
breachdigital.com ↗	73 match 1 shared topics	Breach Digital \| Lead-Gen & Marketing for B2B SaaS	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
blowmarketing.net ↗	73 match 1 shared topics	Digital Marketing and Content Agency \| Blow Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
guizamedia.com ↗	73 match 1 shared topics	Guiza Media LLC \| Digital Marketing & Organic Growth	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thekey-marketingdigital.com ↗	73 match 1 shared topics	The Key Marketing Digital	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
melissakingfreelance.com ↗	73 match 1 shared topics	Melissa King: Content Marketer and Copywriter for B2B SaaS	en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
bratzdigital.com ↗	73 match 1 shared topics	B2B Digital Marketing Agency for Growth \| bratz digital	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
roastedpixel.com ↗	73 match 1 shared topics	Roasted Pixel \| Digital Marketing & Media \| Content Your Way	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
turboness.com ↗	73 match 1 shared topics	Turbo Marketing \| Strategy, Digital Growth & Paid Media	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
guruting.com ↗	73 match 1 shared topics	GURUTING \| Internet Marketing & Digital Growth Forum	en	marketing-and-advertising XenForo Reaction Commerce	robotsllmsaihumans	emailphone	none
nexusdigitalmarketingtt.com ↗	73 match 1 shared topics	Nexus Digital Marketing	TT~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
tsavoneal.com ↗	72 match 1 shared topics	Content Marketing Consultant - Tsavo Neal	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
6ixvision.com ↗	72 match 1 shared topics	6iX Vision \| Digital Marketing Agency for Growth	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
gurolinkhq.com ↗	72 match 1 shared topics	Stremeline Digital \| Marketing & Custom Tech Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kuveara.com ↗	72 match 1 shared topics	Kuveara \| Digital Studio for Marketing, Content, and Branding	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
nexusdemandco.com ↗	72 match 1 shared topics	Stremeline Digital \| Marketing & Custom Tech Agency	en	marketing-and-advertising	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.