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mnlo Research and Consumer Insights — 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
internetresearchunit.com ↗	70 match 2 shared topics	Internet Research Unit - Powerful eCommerce Data & Insights	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
netresearchunit.com ↗	70 match 2 shared topics	Internet Research Unit - Powerful eCommerce Data & Insights	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
livresearch.com ↗	68 match 2 shared topics	Home - Liv Research	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
interquest.com ↗	68 match 2 shared topics	Fast Customer Insights \| Continuous Collaboration \| Leanlab	Finland~ en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
audx.ai ↗	67 match 2 shared topics	AudX Exchange: Consumer & Audience Intelligence Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lizdolinski.com ↗	67 match 2 shared topics	Liz Dolinski — Fractional CMO & Consumer Growth Architect	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
baymard.com ↗	66 match 2 shared topics	Ecommerce UX Research & Best Practices – Baymard	en	business Sanity	robotsllmsaihumans	emailphone	none
intelligentdataresearch.com ↗	66 match 2 shared topics	Intelligent Data Research \| Market Research that Reflects the Real World	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
nelsonrecruiting.com ↗	66 match 2 shared topics	Nelson Recruiting \| Recruiting for Market Research	United States~ en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
gatescope.io ↗	66 match 2 shared topics	GateScope — Product Research & Scouting \| Bulk ASIN Gating Checks	en	business	robotsllmsaihumans	email phone	none
intervextrade.com ↗	66 match 2 shared topics	IntervexTrade \| Ecommerce Product Hunting & Research Professionals	en	business	robotsllmsaihumans	emailphone	none
interactiveecommerce.com ↗	66 match 2 shared topics	Interactive Ecommerce — Direct-to-Consumer Brand Portfolio	en	business	robotsllmsaihumans	emailphone	none
essentialbizmarketing.com ↗	65 match 2 shared topics	Essential BizMarketing \| Global Strategy & Marketing Insights	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 5
myparticipants.com ↗	65 match 2 shared topics	Participant Recruitment & User Research Platform in India \| MyParticipants	India~ en	business	robotsllmsaihumans	email phone	none
ccartmail.com ↗	65 match 2 shared topics	eCommerce Growth Platform and Consulting \| Convertcart	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ccauditing.com ↗	65 match 2 shared topics	eCommerce Growth Platform and Consulting \| Convertcart	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ccwebaudit.com ↗	65 match 2 shared topics	eCommerce Growth Platform and Consulting \| Convertcart	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
intothecommerce.com ↗	65 match 2 shared topics	IntoTheCommerce \| Digital Marketing Insights & Discussions	en	marketing-and-advertising WordPress WooCommerce	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.