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LinkedIn Video Prospecting Platform | Stack BD — 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
bcrm.app ↗	69 match 1 shared topics	BCRM — All-in-One CRM, Prospecting & Email Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
viralsweep.com ↗	69 match 1 shared topics	Viral Marketing Platform \| Viralsweep	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
viralsweeps.com ↗	69 match 1 shared topics	Viral Marketing Platform \| Viralsweep	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
brinfer.com ↗	69 match 1 shared topics	Influencer Marketing Platform \| Brinfer	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mediamaxxing.com ↗	69 match 1 shared topics	Creator Marketing Platform \| MediaMaxxing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dastoornexus.com ↗	69 match 1 shared topics	Digital Marketing Platform \| DASTOORNEXUS	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
sproutloud.com ↗	69 match 1 shared topics	Brand-to-Local Marketing Platform \| SproutLoud	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
favikon.com ↗	69 match 1 shared topics	Influencer Marketing Platform \| Favikon	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
sponsorbot.com ↗	69 match 1 shared topics	Influencer Marketing Platform \| SponsorBot	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
replatestudio.com ↗	69 match 1 shared topics	Restaurant Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
springboltgroup.com ↗	69 match 1 shared topics	B2B Prospecting & Cold Email Platform \| Data + Deliverability + Activation \| Springbolt	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackinfluencers.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackcollaborations.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackcollabs.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stack-influence.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackcreators.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackinfluencer.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
stackinfluence.com ↗	68 match 1 shared topics	Micro Influencer Marketing Platform Services - Stack Influence	United States~ en	marketing-and-advertising	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.