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Find B2B Contact Data With Our LinkedIn Extension | Kaspr — 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
leadbring.com ↗	68 match 2 shared topics	LeadBring - Automate your LinkedIn Workflow	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadsforlinked.com ↗	67 match 2 shared topics	Leadsforlinked: 100 LinkedIn leads free, CSV export	United Kingdom~ en	marketing-and-advertising	robots llmsaihumans	emailphone	full · 11
dazleads.com ↗	67 match 2 shared topics	DazLeads — LinkedIn Email & Phone Finder for India \| Real-Time B2B Prospecting	en	business WordPress	robotsllmsaihumans	emailphone	none
brandmaximise.com ↗	66 match 2 shared topics	BrandMaximise - LinkedIn for B2B Service Firms	en	business	robotsllmsaihumans	emailphone	none
leadleaper.io ↗	66 match 2 shared topics	LinkedIn Email Finder and Sales Engagement Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadleaper.com ↗	66 match 2 shared topics	LinkedIn Email Finder and Sales Engagement Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadleaper.ai ↗	66 match 2 shared topics	LinkedIn Email Finder and Sales Engagement Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
abovea.tech ↗	66 match 2 shared topics	Outperform competition with our tailored growth hacking tactics!	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
causalytics.ai ↗	65 match 2 shared topics	Causalytics - Turn LinkedIn activity into pipeline	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mipro.net ↗	64 match 2 shared topics	Your Data Collection Partner \| Walr	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
problemperception.com ↗	64 match 2 shared topics	Problem Perception - Find Real Customer Problems & Connect with Prospects	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
identitydigital.com ↗	64 match 2 shared topics	Identity Digital \| Create authentic digital identities with the world's largest and most relevant domain extension portfolio.	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
leakmapapp.com ↗	64 match 2 shared topics	CIE — Find the Revenue Hiding in Your Conversion Funnel	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2x.marketing ↗	64 match 2 shared topics	2X \| Elevate Your B2B Strategy with Marketing as a Service (MaaS)	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
2x.com ↗	64 match 2 shared topics	2X \| Elevate Your B2B Strategy with Marketing as a Service (MaaS)	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
traktivity.com ↗	64 match 2 shared topics	Traktivity \| Manage your contacts and track your activity	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
leadzup.com ↗	64 match 2 shared topics	Get Consistent Clients From LinkedIn Without Pitch-Slapping Or Posting For Likes	en	marketing-and-advertising Lightspeed	robotsllmsaihumans	emailphone	none
aaronorendorff.com ↗	64 match 2 shared topics	B2B Content Strategy \| iconiContent (Aaron Orendorff)	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.