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Media Reps - Online Representation for Independent Publishers — 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 Advertising Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
adstuff.io ↗	68 match 2 shared topics	AdStuff - Premium Ad Monetization for Publishers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fuelmediamarketing.com ↗	68 match 2 shared topics	Media Audit UK \| Independent Media Auditors \| Fuel Media	GB~ en	advertising-industry WordPress	robots llmsaihumans	emailphone	none
addvertising.org ↗	67 match 2 shared topics	ADDS - Addvertising.org - independent site for ad lovers and haters.	en	advertising-industry	robotsllmsaihumans	emailphone	none
advantrix-labs.tech ↗	67 match 2 shared topics	Advantrix Labs \| AdTech Development for Publishers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
affiliatesense.ai ↗	67 match 2 shared topics	Affiliate$ense — AI-Powered Affiliate Monetization for Publishers	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
stp-media.com ↗	67 match 2 shared topics	STP Media — Marketing Network for Advertisers & Publishers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
3lbscom.com ↗	67 match 2 shared topics	3lbs Communication \| Independent Advertising Creative Art Director	en	advertising-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adpost.io ↗	67 match 2 shared topics	AdPost – Lead Generation for Publishers and Local Businesses - AdPost	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adpost.ai ↗	67 match 2 shared topics	AdPost – Lead Generation for Publishers and Local Businesses - AdPost	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ad4mat.com ↗	67 match 2 shared topics	Smart advertising solutions for publishers	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
adster.tech ↗	67 match 2 shared topics	AI-Powered Ad Monetization Platform for Publishers & Agencies	US~ en	advertising-industry	robotsllmsaihumans	emailphone	partial · 8
traffichaus.com ↗	67 match 2 shared topics	TrafficHaus \| Solutions for Publishers and Advertisers	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adglare.net ↗	67 match 2 shared topics	AdGlare \| Ad Server Software (2026) for Publishers & Advertisers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
studioforideas.com ↗	67 match 2 shared topics	Ourselves - An independent creative studio	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
clickadu.net ↗	67 match 2 shared topics	Clickadu - Your Ultimate Ad Network for Publishers and Advertisers	en	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
clickadu.tech ↗	67 match 2 shared topics	Clickadu - Your Ultimate Ad Network for Publishers and Advertisers	en	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
clickadu.org ↗	67 match 2 shared topics	Clickadu - Your Ultimate Ad Network for Publishers and Advertisers	en	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
clickadu.info ↗	67 match 2 shared topics	Clickadu - Your Ultimate Ad Network for Publishers and Advertisers	en	advertising-industry WordPress	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.