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Stackalize - Marketing Technology Stack Optimizer — 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
1b-solutions.com ↗	72 match 1 shared topics	1B Solutions \| Marketing Technology	en	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
atmtmarketing.com ↗	71 match 1 shared topics	Advertising Text Marketing Technology	en	marketing-and-advertising Shopify	robots llmsaihumans	emailphone	none
internetmarketingtechnical.com ↗	69 match 1 shared topics	Internet Marketing Technical	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
backstageexperiential.com ↗	69 match 1 shared topics	A technology partner for ambitious experiential marketing teams	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
azher.org ↗	69 match 1 shared topics	Azher Ahmed, Enterprise Marketing & Technology Leader	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
eigenvectorcontainment.tech ↗	69 match 1 shared topics	Eigenvector Containment Technologies - Automated Marketing Optimization	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
2-com.org ↗	69 match 1 shared topics	Marketing Technology, Printed Parts & Logistics \| 2-COM	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2-com.net ↗	69 match 1 shared topics	Marketing Technology, Printed Parts & Logistics \| 2-COM	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
3media.com ↗	69 match 1 shared topics	3media - Creative, Technology And Marketing Consultancy	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alanchatfield.co.uk ↗	69 match 1 shared topics	Alan Chatfield - Marketing via Technology - Martech & Marketing Ops	United Kingdom en	marketing-and-advertising Ghost	robotsllmsaihumans	emailphone	none
litvinov.dev ↗	69 match 1 shared topics	Aleksey Litvinov \| Head of Marketing Technologies @ Uzum	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 1
interstarmedia.com ↗	68 match 1 shared topics	Technology and Marketing Firm \| INTERSTAR Media, LLC	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360logix.com ↗	68 match 1 shared topics	Technology-Driven Marketing Agency PH \| 360 Logix	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
intekgame.com ↗	68 match 1 shared topics	IntekGame — Digital Marketing & Communication Technology Solutions	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
coteriemarketing.co.uk ↗	68 match 1 shared topics	Partner Marketing Specialists for the IT & Technology Sector - Coterie	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
mynestcomerce.com ↗	68 match 1 shared topics	Nest Commerce \| Technology-Led Performance Marketing	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
needgreaters.com ↗	68 match 1 shared topics	Need Greaters Global \| Full-Service Marketing & Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
addmustard.co.uk ↗	68 match 1 shared topics	Brand, Marketing, Technology for Entrepreneurs \| addmustard	United Kingdom 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.