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Viral Marketing Examples | Social Media, Ads & PR Campaigns — 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
fancyreportsteam.com ↗	74 match 1 shared topics	Mastered Marketing \| SEO, Ads & Social Media Agency	Australia~ en	marketing-and-advertising Squarespace	robotsllmsaihumans	email phone	none
examplesofmarketing.com ↗	74 match 1 shared topics	Marketing Examples \| Marketing Examples	en	marketing-and-advertising Tumblr	robotsllmsaihumans	emailphone	partial · 11
onesoci.com ↗	72 match 1 shared topics	OneSoci Social Media Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
viralinnature.com ↗	72 match 1 shared topics	Viral In Nature - Social Media Marketing Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
social-media.ie ↗	72 match 1 shared topics	Social Media Marketing	Ireland en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
visiondigitalsolutions.com ↗	72 match 1 shared topics	Digital Marketing Agency Singapore \| SEO, Google Ads & Social Media	en	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
doublestarmarketing.com ↗	72 match 1 shared topics	Social Media Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mediaapricots.com ↗	72 match 1 shared topics	Social Media Marketing Agency for CPG Brands	United States~ en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
socialmediatraining.org.uk ↗	72 match 1 shared topics	Social Media Training Courses \| Social Media, PR & Content Marketing	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kehtaci.com ↗	72 match 1 shared topics	Digital Marketing and Social Media Management	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
viralamarketing.com ↗	72 match 1 shared topics	Virala Marketing \| Websites, Social Media & SEO	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
flick.social ↗	72 match 1 shared topics	Flick: Social Media Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fabinsiders.com ↗	72 match 1 shared topics	Creative Marketing Agency \| Social Media & Influencer Services \| Fabinsiders	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
vkecom.com ↗	72 match 1 shared topics	Digital Marketing Consultant \| SEO, Social Media, Strategy Expert	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
360digitalbusiness.com ↗	72 match 1 shared topics	Digital Marketing Company in Agra - SEO \| Social Media	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
3ain-design.com ↗	72 match 1 shared topics	Top Digital Marketing & Social Media Agency in Jordan	JO~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
omasitalksmedia.com ↗	72 match 1 shared topics	Omasi Talks Media \| Social Media and Digital Marketing Agency	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
spoto-it.com ↗	72 match 1 shared topics	Spoto IT — Digital Marketing for Social Media	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.