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DOOH Advertising: Programmatic CTV & In-Store Ads - Rockbot — 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
adsterra.com ↗	65 match shared topic	Adsterra Advertising Network \| Solutions for Advertisers and Publishers	en	advertising-industry	robots llmsaihumans	emailphone	none
openx.com ↗	65 match shared topic	Programmatic Advertising \| Supply-Side Platform - OpenX	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
buysellads.com ↗	65 match shared topic	Advertising Solutions for Publishers and Marketers \| BuySellAds	en	advertising-industry HubSpot	robotsllmsaihumans	emailphone	none
jamloop.com ↗	65 match shared topic	Performance CTV & Streaming TV Ads Platform \| Jamloop	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
impressads.com ↗	65 match shared topic	Impress Ads - Fine blend of technology and advertising - Ad Agency	en	advertising-industry	robotsllmsaihumans	email phone	none
richads.com ↗	65 match shared topic	RichAds - Performance marketing advertising network	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mgid.com ↗	65 match shared topic	MGID: Native Performance & Programmatic Advertising Platform	en	advertising-industry	robotsllmsaihumans	emailphone	none
intownads.com ↗	65 match shared topic	Intown Ads \| Creator-Driven Local Advertising \| Atlanta	United States~ en	marketing-and-advertising	robots llmsaihumans	email phone	none
gumgum.com ↗	65 match shared topic	GumGum \| The Mindset Company™ – CTV, OLV & High Impact Display Advertising	United States~ en	marketing-and-advertising Bitrix	robotsllmsaihumans	emailphone	partial · 7
remoby.com ↗	65 match shared topic	Remoby Advertising Network for Pop Ads , Display Ads & In-App Ads	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
rollerads.com ↗	65 match shared topic	RollerAds: Push Notification Advertising Network	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketgid.com ↗	65 match shared topic	MGID: Native Performance & Programmatic Advertising Platform	en	advertising-industry	robotsllmsaihumans	emailphone	none
networkadvertising.org ↗	60 match shared topic	Home - The NAI: Network Advertising Initiative	en	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
marketing-advertising.biz ↗	60 match shared topic	Marketing + Communications + Advertising \| Contact Us to Get Business Done	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
plumbermarketing.com ↗	60 match shared topic	Plumber Marketing \| Plumbing Marketing and Advertising - The Plumber Marketing Specialists	en	marketing-and-advertising Joomla	robotsllmsaihumans	emailphone	none
adage.com ↗	60 match shared topic	Advertising, Marketing, Media and Tech News - Ad Age	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
taboola.com ↗	60 match shared topic	Boost your Digital Performance with Taboola Advertising Platform	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
adexchanger.com ↗	60 match shared topic	AdExchanger \| News and Views on Data-Driven Digital Advertising and Marketing	en	advertising-industry WordPress	robotsllmsaihumans	emailphone	partial · 2

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.