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Sites similar to alyssasherlock.ca

Alyssasherlock alternatives & similar sites

Alyssa Sherlock – author of fiction & creative non-fiction — 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 Books And Literature →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mooreweinberg.com ↗	69 match 1 shared topics	Moore & Weinberg – Publishers of Fiction and Non-Fiction Books	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
korenahowley.com ↗	68 match 1 shared topics	Children's Author: Fiction & Nonfiction Picture Books \| Korena Di Roma Howley	en	books-and-literature	robotsllmsaihumans	emailphone	none
oysterboyreview.org ↗	68 match 1 shared topics	Oyster Boy Review of Fiction & Poetry	en	books-and-literature	robotsllmsaihumans	emailphone	none
4fiction.com ↗	67 match 1 shared topics	4Fiction -- Search Fiction, Characters, Books, Media	en	books-and-literature	robotsllmsaihumans	emailphone	none
connieszone.com ↗	67 match 1 shared topics	Promises.com – author of "The Promise, a memoir."	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kristiedean.com ↗	67 match 1 shared topics	Kristie Dean – Author of The World of Richard III	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
buybooksontheweb.com ↗	66 match 1 shared topics	Online Bookstore \| Non Fiction Authors \| Novel Authors \| Independent Books	en	books-and-literature	robotsllmsaihumans	emailphone	none
didyoueverstoptothink.com ↗	66 match 1 shared topics	Daisy May Johnson – Author and Academic	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
bculverjr.com ↗	66 match 1 shared topics	bculverjr – Author Page	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
conniesteinman.com ↗	66 match 1 shared topics	Connie Steinman – Author of Behind the Wall	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
conniebertelsenyoung.com ↗	66 match 1 shared topics	Connie Bertelsen Young – Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
vivianconan.com ↗	66 match 1 shared topics	Vivian Conan - Author of 'Losing the Atmosphere' - A Memoir	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
crystalvelasquez.com ↗	66 match 1 shared topics	Crystal Velasquez – Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
krisspisak.com ↗	66 match 1 shared topics	Kris Spisak - Author, Narrative Architect & Literary Historian	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alexandralangstaff.com ↗	66 match 1 shared topics	Alexandra Langstaff – Exploration of Creative Bones Through Yoga, Dance and the Written Word	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
vivianhowrites.com ↗	66 match 1 shared topics	Home of Vivian Ho – Author and Reporter	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
larrymillett.com ↗	66 match 1 shared topics	Larry Millett - Architectural Historian and Mystery Fiction Author	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
beabirdsong.com ↗	65 match 1 shared topics	Bea Birdsong – Author	en	books-and-literature WordPress	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.