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Dancing Brands – Allison Jakubowski — 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
heliosnetworkinc.com ↗	65 match 2 shared topics	Helios Network Connecticut – Sales & Marketing Solutions	en	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
daniellebarron.com ↗	65 match 2 shared topics	Danielle Barron \| Partnership Development & Sales Specialist	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
spokemarketing.com ↗	65 match 2 shared topics	Spoke Marketing \| Sales-Driven Strategies for Authentic Brand Growth	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
vitaliibilovus.com ↗	64 match 2 shared topics	Vitalii Bilovus \| Performance Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
evanrichards.net ↗	64 match 2 shared topics	Evan Richards – Direct Response Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mbsalesolutions.com ↗	63 match 2 shared topics	Sales and Marketing Agency for Global Entrepreneurs \| M&B	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
houstongrowthsolutions.net ↗	63 match 2 shared topics	Houston Sales & Marketing \| Houston Growth Solutions	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stardustgroupinc.com ↗	63 match 2 shared topics	Memphis Sales & Marketing Firm \| Stardust Group	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
spreeleads.com ↗	63 match 2 shared topics	Spree Leads – Premium Lead Management & Outreach Platform	en	sales Spree Commerce	robotsllmsaihumans	emailphone	none
esotericpsychinstitute.com ↗	63 match 2 shared topics	The Scaling Solution \| LSR Media	en	marketing-and-advertising Lightspeed	robotsllmsaihumans	emailphone	none
erfansmarketingjourney.com ↗	63 match 2 shared topics	ERFAN's Marketing Journey – Hello, I’m Erfan Gholamiyan, a dedicated marketing and sales professional with a Bachelor of Business Administration from Azad University. My goal is to leverage my skills in marketing strategy and customer relationship management to contribute to dynamic tea	en	sales WordPress	robotsllmsaihumans	emailphone	none
cyclonemarketinginc.com ↗	63 match 2 shared topics	Cyclone Marketing \| Sales & Marketing Agency \| Irving, TX	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
annanmarketing.com ↗	63 match 2 shared topics	Annan Marketing Services - Inside Sales	en	sales Wix	robots llmsaihumans	emailphone	none
dealcatch.io ↗	63 match 2 shared topics	Dealcatch - All-in-One Business Solution	en	sales WordPress	robotsllmsaihumans	emailphone	none
brightfutureworks.com ↗	63 match 2 shared topics	Python Marketing – B2B Client Acquisition Systems	en	sales	robotsllmsaihumans	emailphone	none
brightfutureplus.com ↗	63 match 2 shared topics	Python Marketing – B2B Client Acquisition Systems	en	sales	robotsllmsaihumans	emailphone	none
brightfuturemission.com ↗	63 match 2 shared topics	Python Marketing – B2B Client Acquisition Systems	en	sales	robotsllmsaihumans	emailphone	none
brightfuturelink.com ↗	63 match 2 shared topics	Python Marketing – B2B Client Acquisition Systems	en	sales	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.