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ScopeScaler | Amazon Marketplace Intelligence & Brand Control — 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 Business →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
1xpand.com ↗	70 match 2 shared topics	1XPand \| Expand Your Brand on Amazon & Global Marketplaces	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dotcoach.be ↗	68 match 2 shared topics	Dot Coach :: Brand Marketplace & Domain Consulting :: DotCoach.com – dotcoach	Belgium en	marketing-and-advertising Shopify	robotsllmsaihumans	emailphone	none
baffiliate.io ↗	68 match 2 shared topics	bMarketplace & bCommerce	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
core-marketresearch.com ↗	67 match 2 shared topics	Marketing Media & Distribution Partners \| DataM Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
online53.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online63.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online67.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online59.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online54.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online36.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online41.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online43.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
online46.com ↗	67 match 2 shared topics	Financial Advisor Marketing and Intelligence Solution for Salesforce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
adamnowak.online ↗	67 match 2 shared topics	Adam Nowak — Customer Loyalty & CRM Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
advanceamazontrustedgrowth.com ↗	66 match 2 shared topics	Advance Amazon Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
advanceamazonprofitgrowthhub.com ↗	66 match 2 shared topics	Advance Amazon Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
advanceamazongrowthplus.com ↗	66 match 2 shared topics	Advance Amazon Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
totalnewslever.com ↗	66 match 2 shared topics	Newslever - Simple & Easy Competitive Intelligence	en	marketing-and-advertising	robotsllmsaihumans	email phone	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.