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The Uncommon Marketer | Weekly Marketing Insights and Tips — 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
markdevio.com ↗	71 match 1 shared topics	MarkDevio - Tech, Web & Marketing Insights	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	email phone	none
gaelicmarketing.com ↗	71 match 1 shared topics	The Gaelic Marketer – A lifestyle Blog in Marketing and beyond	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
market-responsegroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketreponsegroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketresponsgroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketresponsegroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketrepsonsegroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketersweeklyinfo.com ↗	71 match 1 shared topics	Home \| Marketers Weekly Info	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marktresponsegroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marktresponsgroup.com ↗	71 match 1 shared topics	MarketResponse – Insights-driven marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
marketlingoreview.com ↗	71 match 1 shared topics	Market Lingo Review \| Marketing Insight, Reviews, and Shared Offers	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
directmarketingobservations.com ↗	70 match 1 shared topics	Direct Marketing Observations \| Digital and Social Media Marketing Insights from Marc Meyer	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketerasia.com ↗	70 match 1 shared topics	Marketer Asia \| Marketing Playbook for Asia	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
affiliatemarketingclues.com ↗	70 match 1 shared topics	Affiliate Marketing Clues: Expert Tips & Insights	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	partial · 8
marketingbiscuit.com ↗	70 match 1 shared topics	Marketing Biscuit your weekly email newsletter for marketing and content trends	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketerdb.com ↗	70 match 1 shared topics	MarketerDB - Find Marketing Tools	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
prodegemr.eu ↗	70 match 1 shared topics	World Class Marketing and Consumer Insights \| Prodege	European Union en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
weaddo.ai ↗	70 match 1 shared topics	WeAddo \| Unlock Data-Driven Marketing Insights for Success	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.