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Sites similar to maryshake.com

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Mary Shake | personal shopper and wardrobe stylist in Miami, FL — 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 Style And Fashion →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
thewardrobeinsider.com ↗	75 match 2 shared topics	Home \| The Wardrobe Insider - Your Personal Stylist	en	style-and-fashion	robotsllmsaihumans	emailphone	none
thewardrobeeditor.com ↗	73 match 2 shared topics	Dallas, Texas Personal Stylist \| The Wardrobe Editor	en	women-s-fashion	robotsllmsaihumans	emailphone	none
meggallagher.com ↗	72 match 2 shared topics	Personal Stylist in Los Angeles \| Meg Gallagher	en	style-and-fashion WordPress	robotsllmsaihumans	emailphone	none
topomer.com ↗	70 match 2 shared topics	Personal Styling Service \| Topomer	en	style-and-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
luxemanner.com ↗	69 match 2 shared topics	Fashion, Style and Wardrobe Ebooks	en	style-and-fashion WordPress	robotsllmsaihumans	emailphone	none
melinastylist.com ↗	69 match 2 shared topics	Personal Stylist for Your Unique Style in London \| Melina Stylist	en	style-and-fashion	robotsllmsaihumans	emailphone	none
natashaitzcovitz.co.uk ↗	69 match 2 shared topics	Personal Styling with Natasha Itzcovitz \| London Personal Stylist	United Kingdom en	style-and-fashion WordPress WooCommerce	robotsllmsaihumans	email phone	none
melissagotstyle.com ↗	69 match 2 shared topics	Personal Stylist Melbourne \| Fashion Stylist \| Melissa Got Style	Australia~ en	style-and-fashion WordPress	robotsllmsaihumans	email phone	none
onesoftautumn.com ↗	68 match 2 shared topics	Colour Analysis \| Personal Styling \| Cardiff, South Wales & Online	en	style-and-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bloompersonalstyling.com ↗	68 match 2 shared topics	Bloom Personal Styling – Be the best you	en	style-and-fashion WordPress	robotsllmsaihumans	emailphone	none
mimipersonalstyling.com ↗	68 match 2 shared topics	Personal styling, shopping and closet organization MIMI PERSONAL STYLING AND PERSONAL SHOPPING	United States~ en	style-and-fashion Squarespace	robotsllmsaihumans	email phone	none
meetthestylist.com ↗	67 match 2 shared topics	Meet the Stylist – Personal Styling & Colour Analysis	en	style-and-fashion	robotsllmsaihumans	emailphone	none
badubasics.com ↗	67 match 2 shared topics	Badu Basics \| Stylist + Image Consultant \| New York	en	women-s-fashion Wix	robots llmsaihumans	emailphone	none
abigailsantiago.blog ↗	66 match 2 shared topics	Abigail Santiago – Atlanta Personal Fashion Stylist – Abigail Santiago – Atlanta Personal Stylist	en	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csjstyling.com ↗	66 match 2 shared topics	CSJ Styling - CSJ Styling	en	women-s-fashion WordPress Lightspeed	robots llmsaihumans	emailphone	none
feliciascloset.com ↗	65 match 2 shared topics	Stylist in Sacramento \| United States \| Felicia's Closet	en	style-and-fashion Wix	robots llmsaihumans	emailphone	none
acelya.blog ↗	65 match 2 shared topics	Açelya Güneş Blog – Fashion, Identity & Personal Stories	en	style-and-fashion WordPress	robotsllmsaihumans	emailphone	none
melodyclothing.com ↗	65 match 2 shared topics	Unlocking Your Personal Style with Melody Clothing	en	women-s-fashion	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.