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AIQ | Marketing, Loyalty, and Ecommerce Software for Modern Retail — 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
alpineiq.com ↗	100 match 1 shared topics	AIQ \| Marketing, Loyalty, and Ecommerce Software for Modern Retail	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mecsgeorgia.com ↗	72 match 1 shared topics	MECS \| Marketing & E-Commerce Specialists Ltd	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
custobar.net ↗	71 match 1 shared topics	Custobar - The marketing platform for e-commerce & omnichannel retail	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
custobar.org ↗	71 match 1 shared topics	Custobar - The marketing platform for e-commerce & omnichannel retail	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
helpaproduct.com ↗	71 match 1 shared topics	HelpAProduct — Ecommerce growth & custom software	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
0tohigh.com ↗	71 match 1 shared topics	0ToHigh \| Creative Marketing & Software Solutions	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
briteagency.com ↗	71 match 1 shared topics	Brite Agency \| Marketing & Automation for Modern Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
epicskymarketing.com ↗	70 match 1 shared topics	Epic Sky - Marketing for Software VARs and Partners	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
retentioned.com ↗	70 match 1 shared topics	Retentioned \| E-Commerce Marketing Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dashclicks.com ↗	70 match 1 shared topics	White Label Fulfillment and Software for Marketing Agencies \| DashClicks	United States~ en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
kenyton.com ↗	70 match 1 shared topics	Kenyton — Marketing & Software for Local Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
smartsoftwaremarketing.co.uk ↗	70 match 1 shared topics	Smart Software Marketing	United Kingdom en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
data4ecom.com ↗	70 match 1 shared topics	Full Service Ecommerce Agency \| Ecommerce Marketing Agency \| Data4eCom	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
data4ecom.net ↗	70 match 1 shared topics	Full Service Ecommerce Agency \| Ecommerce Marketing Agency \| Data4eCom	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bondware.com ↗	70 match 1 shared topics	Websites for News, Marketing and Commerce	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mazicwork.com ↗	70 match 1 shared topics	Best Marketing & Software Agency	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
mediadev.com ↗	70 match 1 shared topics	Disruptive Marketing for Software Vendors - MediaDev	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
7seersmedia.com ↗	70 match 1 shared topics	7 SEERS - Marketing for SaaS, eCommerce, and Entertainment	en	marketing-and-advertising	robots llmsaihumans	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.