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Swirl to Coat | one blogger's blend of food, culture and education — 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
surreyedit.com ↗	71 match 1 shared topics	The Surrey Edit - Culture and Lifestyle Blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
naomikritzer.com ↗	68 match 1 shared topics	Will Tell Stories For Food \| Naomi Kritzer's blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cybercultureandsocialjustice.com ↗	67 match 1 shared topics	Cyberculture and Social Justice Directory	en	books-and-literature Squarespace	robotsllmsaihumans	emailphone	none
susanjaustin.com ↗	67 match 1 shared topics	Susan J. Austin, PhD – Author and Educator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
sampadapublications.com ↗	67 match 1 shared topics	Sampada Publications \| Publishing books on Education, Culture and Literature	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cultureafrica.net ↗	66 match 1 shared topics	cultureafrica - A Blog. Culture. Africa.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
averyryker.com ↗	66 match 1 shared topics	AveryRyker.com – One Author's Journey to Publication	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	full · 12
dennisinhumanities.com ↗	66 match 1 shared topics	Inhumanities \| Nazi Interpretations of Western Culture	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
balochlibrary.com ↗	66 match 1 shared topics	Baloch Educational Resources \| Baloch Library	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jonathanabraham.com ↗	66 match 1 shared topics	Jonathan Abraham - Jonathan's blog	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
femigration.com ↗	66 match 1 shared topics	FEMigration – Women’s Migration Narratives Across Cultures and Borders	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cultureandhistoryhub.com ↗	66 match 1 shared topics	Culture and History -	en	books-and-literature WordPress	robots llmsaihumans	emailphone	none
femifragile.com ↗	66 match 1 shared topics	Fragile's Books & Letters - Femi Fragile's Blog	en	books-and-literature WordPress WooCommerce	robots llmsaihumans	emailphone	none
denniskafalas.com ↗	65 match 1 shared topics	Dennis J. Kafalas Writer and Educator - Home	en	books-and-literature Weebly	robotsllmsaihumans	emailphone	none
dnbstories.com ↗	65 match 1 shared topics	DNB Stories Africa — African and Black Queer Research and Public Education	en	books-and-literature WordPress WooCommerce	robots llmsaihumans	emailphone	none
cubbyclever.com ↗	65 match 1 shared topics	Cubby Clever \| Fun and Educational Puzzle Books For Kids \| Cubby Clever	en	books-and-literature	robotsllmsaihumans	emailphone	none
hasimja.com ↗	65 match 1 shared topics	hasimja – Insights on Politics, Education, and Albania’s Untold Stories – Dr. Ermal Hasimja	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
bannerbold.org ↗	65 match 1 shared topics	Banner Bold – Ventura High School's student-led Literature and Arts Magazine	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.