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Wholescale | Authentic Review Syndication for Modern Commerce — 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
usepattern.com ↗	69 match 1 shared topics	Programmatic SEO Agency for Modern Ecommerce Brands \| Pattern	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bazaarvoice.org ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bazaarvoice.ai ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bazaarvoice.com.my ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bazaarvoice.my ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bazaarvoice.net ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
joinbazaarvoice.com ↗	68 match 1 shared topics	Bazaarvoice \| The UGC Platform for Authentic Shopper Experiences	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
uprisecommerce.com ↗	67 match 1 shared topics	Uprise Commerce	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitateapphub.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatecentral.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatecloud.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatecrm.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatehq.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatehub.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitateone.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitatepro.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitateproapp.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
uselevitateprohub.com ↗	66 match 1 shared topics	Levitate - Relationship Marketing as Authentic as You Are	en	marketing-and-advertising	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.