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CSM System | Automated LinkedIn Campaign Tracking by Pavels Kilivniks — 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
utmanalytics.com ↗	69 match 1 shared topics	UTM Analytics - Professional Campaign Tracking	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
utmsourcery.com ↗	69 match 1 shared topics	UTM Sourcery - Campaign Tracking Without the Chaos	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
delineate.biz ↗	68 match 1 shared topics	Global brand and campaign tracking from Delineate	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
delineate.cloud ↗	68 match 1 shared topics	Global brand and campaign tracking from Delineate	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
delineate.digital ↗	68 match 1 shared topics	Global brand and campaign tracking from Delineate	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
use-commentions.com ↗	68 match 1 shared topics	Commentions \| Automated Brand Mentions Comments on X, LinkedIn Youtube	en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 8
join-commentions.com ↗	68 match 1 shared topics	Commentions \| Automated Brand Mentions Comments on X, LinkedIn Youtube	en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 8
pocket-site.com ↗	68 match 1 shared topics	Pocket Site \| The Automated Political Web System	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
demandcube.io ↗	68 match 1 shared topics	Linklo \| Schedule LinkedIn Ads & Optimize Campaigns	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
nativebot.io ↗	68 match 1 shared topics	NativeBot - Automate and Optimize Native Ad Campaigns	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dealerautomatedreviewssystem.com ↗	67 match 1 shared topics	Hot Tub Dealer, Pool Builder Automated Reviews System Software	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
demorampmetrics.com ↗	67 match 1 shared topics	Rampmetrics \| Marketing Attribution & Campaign Tracking	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
discoverrampmetrics.com ↗	67 match 1 shared topics	Rampmetrics \| Marketing Attribution & Campaign Tracking	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
driverampmetrics.com ↗	67 match 1 shared topics	Rampmetrics \| Marketing Attribution & Campaign Tracking	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
utmbuild.com ↗	67 match 1 shared topics	UTM Builder - Track Your Marketing Campaigns	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
utmflow.app ↗	67 match 1 shared topics	UTMflow — UTM Builder, Link Tracker & Campaign Tool	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
utmgenius.io ↗	67 match 1 shared topics	UTM Genius - Professional UTM Parameter Generator & Campaign Tracking Tool	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
7fsystems.com ↗	67 match 1 shared topics	7FSystems™ \| Automated Revenue Systems for High-Ticket Agencies	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8

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.