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The Essential simplespot.shop Reference Guide — 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 Shopping →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
luxe.digital 75 match
shared topic
Luxe Digital — Your guide to elevated essentials en shopping robotsllmsaihumans emailphone none
ilovebuyamerican.com 65 match
shared topic
i Love Buy American, USA - Guide to Shops, Products and Services United States~ en shopping robotsllmsaihumans emailphone none
pandaspreadsheet.com 65 match
shared topic
How to Buy Latest Chinese Products:Panda Spreadsheet Guide from Taobao & Tmall en shopping robotsllmsaihumans emailphone none
ilovemadeinamerica.com 65 match
shared topic
i Love Buy American, USA - Guide to Shops, Products and Services United States~ en shopping robotsllmsaihumans emailphone none
w2cfind.com 65 match
shared topic
W2C Spreadsheet | Curated Product Finds & Shopping Guide en shopping robotsllmsaihumans emailphone partial · 8
capecodchamberofecommerce.com 65 match
shared topic
Cape Cod Chamber of eCommerce Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
quince.com 65 match
shared topic
Quince | High Quality Essentials, Radically Low Prices en shopping robotsllmsaihumans emailphone none
barnstablechamberofecommerce.com 65 match
shared topic
Barnstable Chamber of eCommerce Barnstable Cape Cod Online Shopping Guide - The Cape Cod Daily Deal en shopping robotsllmsaihumans emailphone none
bournechamberofecommerce.com 65 match
shared topic
Bourne Chamber of eCommerce Bourne Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
brewsterchamberofecommerce.com 65 match
shared topic
Brewster Chamber of eCommerce Brewster Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
chathamchamberofecommerce.com 65 match
shared topic
Chatham Chamber of eCommerce Chatham Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
cotuitchamberofecommerce.com 65 match
shared topic
Cotuit Chamber of eCommerce Cotuit Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
dennischamberofecommerce.com 65 match
shared topic
Dennis Chamber of eCommerce Dennis Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
easthamchamberofecommerce.com 65 match
shared topic
Eastham Chamber of eCommerce Eastham Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
nantucketchamberofecommerce.com 65 match
shared topic
Nantucket Chamber of eCommerce Nantucket Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
orleanschamberofecommerce.com 65 match
shared topic
Orleans Chamber of eCommerce Orleans Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
harwichchamberofecommerce.com 65 match
shared topic
Harwich Chamber of eCommerce Harwich Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping robotsllmsaihumans emailphone none
hyannischamberofecommerce.com 65 match
shared topic
Hyannis Chamber of eCommerce Hyannis Cape Cod Online Shopping Guide - The Cape Cod Daily Deal United States~ en shopping 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:

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.