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Daphanie's Blog – Where words are loved and used accordingly — 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
jamesmacknight.com ↗	68 match 1 shared topics	James M. MacKnight – The words and music I write.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
megloveswords.com ↗	68 match 1 shared topics	Meg Loves Words – A reading and writing blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
accordingtokirby.org ↗	67 match 1 shared topics	accordingtokirby – Jack Kirby in his own words	en	books-and-literature Kirby	robotsllmsaihumans	emailphone	none
painauthors.com ↗	67 match 1 shared topics	Pain Authors — Where Words Heal	en	books-and-literature	robotsllmsaihumans	emailphone	partial · 8
mixedmetaphorsohmy.com ↗	66 match 1 shared topics	Mixed Metaphors \| Mixed Metaphors, Oh My! – A place where words, this writer, and readers play together.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mlleshanghai.com ↗	66 match 1 shared topics	固力果小姐的打字机 – Where Do You Go To (My Lovely)?	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
demetriawambia.com ↗	66 match 1 shared topics	Demetria Wambia – Lover of Words	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jadebrowne.com ↗	66 match 1 shared topics	Unjaded Soul – Where life meets words	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
dirtygirlsgoodbooks.com ↗	66 match 1 shared topics	Dirty Girls' Good Books – Where Dirty Girls Anne and Kate talk about the books they love.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
des1.com ↗	66 match 1 shared topics	My Blog – We are Israel Blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
marinamccarron.com ↗	65 match 1 shared topics	Marina's blog – Writer’s website	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cthulhuwho1.com ↗	65 match 1 shared topics	CthulhuWho1's Blog \| A Lovecraftian Gateway to Images and Audio	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
miss-abd-allah.com ↗	65 match 1 shared topics	Missabdallah's blog – for the soul, for the heart and for the mind	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
garykunich.com ↗	65 match 1 shared topics	Very Gary - Letters & words from the mind and typewriter of Gary J. Kunich	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
curmudgeonbooksofdenver.com ↗	65 match 1 shared topics	Curmudgeon Books of Denver - Curated Used and Collectible Books	en	books-and-literature Shopify X-Cart	robots llmsaihumans	emailphone	none
moveablefeastsbookklub.com ↗	65 match 1 shared topics	Moveable Feasts book Klub – Where readers discover how food is everyone’s and its own story	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
ctswrites.com ↗	65 match 1 shared topics	CTS Writes \| where the words of Claire Travers Smith live	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
adventures-with-alex.com ↗	64 match 1 shared topics	Adventures With Alex - Where Reading, Travel, Finance, and the Environment Meet	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.