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MarTech Help! • Marketing technology experts, so you don't have to be — 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
martechery.com ↗	73 match 1 shared topics	Martechery - Marketing Technology Services	Australia~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
martechbrew.com ↗	73 match 1 shared topics	Martech Brew - Marketing Technology	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
martechoutlook.com ↗	73 match 1 shared topics	MarTech Outlook \| Driving Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agilebrandguide.com ↗	73 match 1 shared topics	A Guide to Marketing Technology and CX	en	marketing-and-advertising WordPress Shopify	robots llmsaihumans	emailphone	partial · 1
martechipedia.com ↗	73 match 1 shared topics	A Guide to Marketing Technology and CX	en	marketing-and-advertising WordPress Shopify	robots llmsaihumans	emailphone	partial · 1
martechmanaged.com ↗	72 match 1 shared topics	MarTech Managed \| Purpose-Built Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
martekengine.com ↗	72 match 1 shared topics	Martek Engine - Find the Right Marketing Technology for Your Business	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
1b-solutions.com ↗	72 match 1 shared topics	1B Solutions \| Marketing Technology	en	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
webfindyou.com ↗	71 match 1 shared topics	WebFindYou is True Digital Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
webfindu.com ↗	71 match 1 shared topics	WebFindYou is True Digital Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
webfindsyou.com ↗	71 match 1 shared topics	WebFindYou is True Digital Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agencyofrelationships.com ↗	71 match 1 shared topics	Marketing and Technology Experiences That Inspire \| AGENCYOF	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
agencyofpharma.com ↗	71 match 1 shared topics	Marketing and Technology Experiences That Inspire \| AGENCYOF	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
martechmag.com ↗	71 match 1 shared topics	MarTechMag \| Marketing Technology Magazine for Martech professional	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
marketingtechgenius.com ↗	71 match 1 shared topics	Marketing Tech Genius - Full-Stack Marketing Technology Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
jackshepler.com ↗	71 match 1 shared topics	Jack Shepler \| Indianapolis Marketing & Technology Expert	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
wearexi.com ↗	71 match 1 shared topics	WeAreXi: Experiential Marketing Technology for Global Brands	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
marketinglab.com ↗	71 match 1 shared topics	RAZR – Marketing Technology & Services	United States~ en	marketing-and-advertising 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.