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GigaMarx Marketing – We turn attention into revenue for local and regional brands — 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
minth.io ↗	71 match 1 shared topics	Retention Marketing for DTC Brands \| RELAIN	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
davidsagastuy.com ↗	70 match 1 shared topics	Growth Partner \| Turn Marketing Into Revenue Systems	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kim-ing.com ↗	70 match 1 shared topics	KIM ING – International Brand Strategist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
agencyturbomail.org ↗	70 match 1 shared topics	Retention Revenue Systems for E-commerce Brands \| TurboMail Agency	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
getturbomailagency.com ↗	70 match 1 shared topics	Retention Revenue Systems for E-commerce Brands \| TurboMail Agency	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
testturbomailagency.com ↗	70 match 1 shared topics	Retention Revenue Systems for E-commerce Brands \| TurboMail Agency	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
kenyton.com ↗	70 match 1 shared topics	Kenyton — Marketing & Software for Local Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fractionalgrowthfoundry.com ↗	69 match 1 shared topics	Growth Generators \| Turn Traffic Into Revenue	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
getreo.dev ↗	69 match 1 shared topics	Reo.Dev \| Developer Marketing and GTM Revenue Intel	en	marketing-and-advertising Saleor	robotsllmsaihumans	emailphone	partial · 12
frankokrapljan.com ↗	69 match 1 shared topics	Franko Krapljan — Strategic Marketing for Experts	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
getlocalpluspartnr.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
getlocalplusrnk.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
getlocalplusreviw.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
getlocalaiapp.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
getlocalaihub.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
getlocalbusinessai.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
getlocalpluspartner.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
getlocalplusrank.com ↗	69 match 1 shared topics	AI Marketing Agency for Local Businesses \| Localplus	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8

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.