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SpyCommerce — Amazon Competitor Analysis & Market Intelligence — 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
asinlogic.com ↗	76 match 1 shared topics	ASINlogic - Amazon Competitor Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
seranoviqra.com ↗	74 match 1 shared topics	SEO Competitor Analysis & Market Research Tools - Seranoviqra	South Africa~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
pestmarketaudit.com ↗	73 match 1 shared topics	Pest Market Intel - Free Competitor Analysis for Pest Control Owners	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
millerstgeorge.com ↗	71 match 1 shared topics	Miller St.George — Market Intelligence, Insights and Analytics	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
hort.me ↗	71 match 1 shared topics	YouGotUs - Marketing Intelligence \| Reverse-Engineer Your Competitors	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mightytech.dev ↗	71 match 1 shared topics	YouGotUs - Marketing Intelligence \| Reverse-Engineer Your Competitors	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
picasi.app ↗	71 match 1 shared topics	Picasi – Competitive Intelligence for B2B Marketing Teams	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gtbogoengine.com ↗	70 match 1 shared topics	GT BOGO Engine — WooCommerce Promotional Intelligence	en	marketing-and-advertising WooCommerce	robots llmsaihumans	emailphone	none
anstrex.com ↗	69 match 1 shared topics	Anstrex \| Competitive Intelligence For Online Marketers	en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
tubed.app ↗	69 match 1 shared topics	Tubed – Niche Intelligence & Competitor Tracking for YouTube Creators	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
tubed.io ↗	69 match 1 shared topics	Tubed – Niche Intelligence & Competitor Tracking for YouTube Creators	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ccgclearsignal.com ↗	69 match 1 shared topics	CCG ClearSignal — Market Intelligence Platform	en	marketing-and-advertising Spree Commerce	robotsllmsaihumans	emailphone	none
milaranda.com ↗	68 match 1 shared topics	Latino business market intelligence by MILA	en	marketing-and-advertising BigCommerce	robotsllmsaihumans	emailphone	none
quicktracksupermetrics.com ↗	68 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
hypersupermetrics.com ↗	68 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360connectsupermetrics.com ↗	68 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360supermetrics.com ↗	68 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360aisupermetrics.com ↗	68 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	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.