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Consumer Insights from Real Human Respondents | Cashew Research | Cashew Research — 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
accelerantresearch.com ↗	71 match 2 shared topics	Accelerant Research \| Full Service Research Insights \| Charlotte, NC	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
survyhub.com ↗	68 match 2 shared topics	SurvyHub - Daily Consumer Insights & Survey Trends	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dealertrendsresearch.com ↗	67 match 2 shared topics	Dealer Trends Research \| Market Research that Reflects the Real World	US~ en	business	robotsllmsaihumans	emailphone	none
avidestal.com ↗	67 match 2 shared topics	Avidestal Technologies - SaaS Brand for Consumer Insights	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitaleconomy.org ↗	66 match 2 shared topics	From Data To Impact – Insights on Business Transformation, Consumer Behavior, Markets and Technologies	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
axanteusresearch.com ↗	66 match 2 shared topics	Axanteus Research \| Market Research in Singapore and Asia	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
azuritepay.com ↗	66 match 2 shared topics	Azurite Payments \| Market Research that Reflects the Real World	US~ en	business	robotsllmsaihumans	emailphone	none
azuritepayments.com ↗	66 match 2 shared topics	Azurite Payments \| Market Research that Reflects the Real World	US~ en	business	robotsllmsaihumans	emailphone	none
azuritepayment.com ↗	66 match 2 shared topics	Azurite Payments \| Market Research that Reflects the Real World	US~ en	business	robotsllmsaihumans	emailphone	none
salvagepost.com ↗	66 match 2 shared topics	SalvagePost.com - Recovering Stories and Insights from the Depths	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
azuritesurveys.com ↗	66 match 2 shared topics	The Most Reliable & Trusted B2B Market Research Company	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
azuriteconsulting.com ↗	66 match 2 shared topics	The Most Reliable & Trusted B2B Market Research Company	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
survique.com ↗	66 match 2 shared topics	Survique \| The Operating System for Modern Consumer Insights	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
surveyparadox.com ↗	65 match 2 shared topics	Survey Paradox \| Market Research & Data Collection	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
useiru.com ↗	65 match 2 shared topics	Internet Research Unit - Powerful eCommerce Data & Insights	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aakeronpurposebranding.com ↗	65 match 2 shared topics	Aaker on Brands - Insights from David Aaker \| Prophet	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
judgeservice.com ↗	65 match 2 shared topics	Customer Service Review & Insights Experts \| JudgeService JudgeService	en	business	robotsllmsaihumans	emailphone	none
userzoom.com ↗	65 match 2 shared topics	UserZoom Platform \| UserTesting \| UX Research Capabilities	en	marketing-and-advertising Drupal	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.