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Flattered - Crafted Footwear and Leather Goods — 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 Women S Shoes And Footwear →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
st-ronastudio.com ↗	78 match 1 shared topics	ST. Rona – ST. Rona- Crafted Footwear and Leather Goods	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
aeyde.com ↗	70 match 1 shared topics	Aeyde — Berlin based footwear and accessories house	en	women-s-shoes-and-footwear Shopify	robotsllmsaihumans	emailphone	none
emuaustralia.com ↗	69 match 1 shared topics	EMU Australia: Sheepskin Footwear for Women, Men and Kids	en	women-s-shoes-and-footwear Salesforce Commerce Cloud	robotsllmsaihumans	emailphone	none
falzori.com ↗	69 match 1 shared topics	FALZORI \| A Unique and Limited Edition Footwear brand	en	women-s-shoes-and-footwear	robotsllmsaihumans	emailphone	partial · 8
bcfootwear.net ↗	68 match 1 shared topics	Seychelles Footwear	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
5pmfootwear.com ↗	68 match 1 shared topics	5PM \| Effortless Elegance in Women’s Leather Boots, Loafers and Bags – 5PM Footwear & Bags	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
annalenkiewicz.com ↗	67 match 1 shared topics	Designer \| London \| Anna Lenkiewicz-Carr footwear, accessories and print designer	en	women-s-shoes-and-footwear Wix Wix Stores	robotsllmsaihumans	emailphone	none
kbreidoitalia.com ↗	67 match 1 shared topics	KBREIDO \| A Unique and Limited Edition Footwear brand	en	women-s-shoes-and-footwear	robotsllmsaihumans	emailphone	none
crystallinefinery.com ↗	67 match 1 shared topics	Crystalline Finery \| A Unique and Limited Edition Footwear brand	en	women-s-shoes-and-footwear	robotsllmsaihumans	emailphone	partial · 8
virsafootwear.com ↗	67 match 1 shared topics	Virsa Footwear	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
danielnieto.com ↗	67 match 1 shared topics	Daniel Nieto Designs \| Footwear Designer Daniel Nieto	en	women-s-shoes-and-footwear WordPress WooCommerce	robotsllmsaihumans	emailphone	none
americanduchess.com ↗	67 match 1 shared topics	Historical Footwear & Reproduction Shoe Accessories – American Duchess	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
violeno.com ↗	67 match 1 shared topics	Signature Footwear Selected With Care	en	women-s-shoes-and-footwear WordPress	robotsllmsaihumans	emailphone	none
virtuousfootwear.com ↗	67 match 1 shared topics	Virtuous footwear	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
dansko.com ↗	66 match 1 shared topics	Dansko Comfort Footwear	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	emailphone	none
acemarks.com ↗	66 match 1 shared topics	Ace Marks Handcrafted Italian Dress Shoes	en	women-s-shoes-and-footwear Shopify	robots llmsaihumans	email phone	none
danielfootwear.com ↗	66 match 1 shared topics	Designer Shoes, Bags & Accessories \| Daniel Footwear	en	women-s-shoes-and-footwear	robotsllmsaihumans	emailphone	none
aomigoct.com ↗	66 match 1 shared topics	Aomigoct – Stylish, Comfortable, and Innovative Footwear for Every Step	en	women-s-shoes-and-footwear WordPress WooCommerce	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.