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Inga Nelson Writes – Imagine with Inga, as she shares her interests and written works. — 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
chattytcp.com ↗	68 match 1 shared topics	TCP WRITES – Lover and Writer of Children's Books	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
shewrites.com ↗	67 match 1 shared topics	She Writes \| For Women Writers	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
eidhnesmediacorner.com ↗	66 match 1 shared topics	Eidhne's Writing Corner – The Works and Research of a Writer in the Making	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
michellekstone.com ↗	66 match 1 shared topics	Tales from Tobhamhor – A place for me to write down what I'm thinking and share with the world.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
elainekoyama.com ↗	66 match 1 shared topics	ELAINE KOYAMA WRITES – Elaine Koyama Writes	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kattahules.com ↗	66 match 1 shared topics	Katta Hules – Writer and Bookworm.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	full · 12
kelseysorge.com ↗	66 match 1 shared topics	Kelsey Sorge – writer of words and worries	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
charlottebull88.com ↗	66 match 1 shared topics	Ramblings of a Young Aussie Writer – A writer lost in her own imagination	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
shalhar.com ↗	66 match 1 shared topics	Shalhar – This is the place where I share with my thoughts and ideas	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kassieritmanwrites.com ↗	66 match 1 shared topics	Kassie Ritman Writes – Kassie Ritman Writes Current, Past and Upcoming Projects	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
howtowriteabookwithchatgpt.com ↗	65 match 1 shared topics	How to Write a Book with ChatGPT by Marcus Nelson	en	books-and-literature	robotsllmsaihumans	emailphone	none
megloveswords.com ↗	65 match 1 shared topics	Meg Loves Words – A reading and writing blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cheyenneraphael.com ↗	65 match 1 shared topics	Cheyenne Raphael Writes \| All Things Bookish, Writerly, And Random	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
katebantamwrites.com ↗	65 match 1 shared topics	Kate Bantam – she writes stuff	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
sharmilathewriter.com ↗	65 match 1 shared topics	Sharmila Chauhan – Writer – Screenwriter, playwright and Writing Doula	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cwanderson.net ↗	65 match 1 shared topics	C. W. Anderson \| Brooklyn-Based Writer, Filmmaker, Artist	en	books-and-literature	robotsllmsaihumans	emailphone	none
katieproctorwrites.com ↗	65 match 1 shared topics	Katie Proctor – just a mom who loves to write	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cheladavison.com ↗	65 match 1 shared topics	Chela Davison \| Writer, Performer, Facilitator	en	books-and-literature	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.