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Katy Lees – LGBTQ+ Mental Health Author – Writing about LGBTQ+ Mental Health, Fiction, & Other Queer Ideas — 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
dabblewriter.com ↗	67 match 1 shared topics	Dabble: Novel Writing Software for Fiction Authors	en	books-and-literature	robotsllmsaihumans	emailphone	none
barbarabarrow.com ↗	66 match 1 shared topics	Barbara Barrow – Literary studies, fiction, writing, pedagogy	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
dominicdayta.com ↗	66 match 1 shared topics	Dominic Dayta – Engineer, Statistician, Fiction Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kyliepetersauthor.com ↗	66 match 1 shared topics	Kylie Peters, Author – Kylie is also a non-fiction writer, editor, and social media manager.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
paramukurumathur.com ↗	66 match 1 shared topics	Paramu Kurumathur – Writing and Music for Enjoyment	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
rjeanstevenson.com ↗	66 match 1 shared topics	R Jean Stevenson – Rambling about writing, mostly	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	full · 12
robertdessaix.com ↗	66 match 1 shared topics	Robert Dessaix, Australian Author \| Memoirs, travel writing, essays, fiction	en	books-and-literature	robotsllmsaihumans	emailphone	none
barbarafarland.com ↗	66 match 1 shared topics	barbara farland – Writing * Education * Creativity	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
charliehicksauthor.com ↗	66 match 1 shared topics	Charlie Hicks – Author – An Indie author sharing thoughts ideas and experiences	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
miriamsarin.com ↗	66 match 1 shared topics	Miriam Sarin – Writer – Director – Public Speaking Coach	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
2squarewriting.com ↗	65 match 1 shared topics	2squarewriting – Writing about the creative life and the stories all around us	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
laceyheasley.com ↗	65 match 1 shared topics	Lacey Heasley - Aspiring Author and Creative Writer \| Lacey Heasley	en	books-and-literature	robotsllmsaihumans	emailphone	none
robinritch.com ↗	65 match 1 shared topics	Robin Ritch, Author of Using Friction to Grow	en	books-and-literature	robotsllmsaihumans	emailphone	none
storioai.com ↗	65 match 1 shared topics	Storio: Best AI Writing Partner for Fiction	en	books-and-literature	robotsllmsaihumans	emailphone	none
holdontothelight.com ↗	65 match 1 shared topics	#HoldOnToTheLight – SF/F Authors and Fans for Mental Wellness	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
heidijames.me ↗	65 match 1 shared topics	Heidi James – Writer	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
miriamdrori.com ↗	65 match 1 shared topics	Miriam Drori, Author – writer, editor, public speaker	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
mmlacroix.com ↗	65 match 1 shared topics	Blog – Michelle Lacroix – Author Page	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.