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Marketing Execution Platform For Marketing Teams | Slingshot — 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
intempt.com ↗	73 match 1 shared topics	Intempt \| Agentic Platform for Marketing & Sales	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
360degreemarketing.net ↗	73 match 1 shared topics	360° Marketing \| B2B Marketing Strategy & Execution	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360marketingtool.com ↗	73 match 1 shared topics	Marketing Solutions \| 360 Marketing Tool	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2beesmarketing.co.uk ↗	72 match 1 shared topics	2Bees Marketing \| Strategic Marketing and Marketing Execution	United Kingdom en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
needtexting.com ↗	72 match 1 shared topics	NeedTexting - SMS Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
neosframe.ai ↗	72 match 1 shared topics	Creative Automation Platform for Retail Marketing \| Neosframe.ai	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dreamdata.eu ↗	72 match 1 shared topics	Dreamdata \| B2B Attribution Platform for Marketers	European Union en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
affise.com ↗	72 match 1 shared topics	Affise: Affiliate Marketing Software & Partner Marketing Platform	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
123-ticketsystem.com ↗	72 match 1 shared topics	Ticket Request System for Marketing & IT Teams \| 123-Ticketsystem	en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 8
sitechowlyapp.com ↗	71 match 1 shared topics	Restaurant Marketing Platform \| Chowly	United States~ en	marketing-and-advertising Lightspeed	robots llmsaihumans	emailphone	partial · 11
livestorm-team.com ↗	71 match 1 shared topics	All-in-one Webinar Software for Marketing Teams \| Livestorm	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
livestorm-pros.com ↗	71 match 1 shared topics	All-in-one Webinar Software for Marketing Teams \| Livestorm	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
livestorm-mail.com ↗	71 match 1 shared topics	All-in-one Webinar Software for Marketing Teams \| Livestorm	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
livestorm-eu.com ↗	71 match 1 shared topics	All-in-one Webinar Software for Marketing Teams \| Livestorm	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
garenmoreno.com ↗	71 match 1 shared topics	Garen Moreno — Marketing Executive	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cazimimarketing.com ↗	71 match 1 shared topics	Cazimi Marketing \| Fractional Marketing for HR Tech	United States~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
howaboutsomemarketing.com ↗	71 match 1 shared topics	How About Some Marketing \| Practical Marketing That Moves	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
sizzn.com ↗	70 match 1 shared topics	SIZZN — Influencer Marketing Platform	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.