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Visionary Viewpoints – Igniting Ideas To Change The World — 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
kaylenepowell.com ↗	70 match 2 shared topics	kaylenepowell.com – Apt Words to Light the World	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
faithinchange.com ↗	67 match 2 shared topics	Faith in Change Publishing – Writing for Humanity	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
howtoovercometheworld.com ↗	66 match 2 shared topics	How to Overcome the World - Change Your Mind • Overcome the World	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
culturesmuggling.com ↗	66 match 2 shared topics	Culture Smuggling – smuggling words and ideas	en	poetry WordPress	robotsllmsaihumans	emailphone	none
erinmcknightbooks.com ↗	65 match 2 shared topics	Erin McKnight – The World Needs Happy Endings	en	poetry WordPress	robotsllmsaihumans	emailphone	none
1poem.com ↗	65 match 2 shared topics	1 Poem – It is important to create a better world, it starts at one!	en	poetry WordPress	robotsllmsaihumans	emailphone	none
culturalworkersbureau.net ↗	65 match 2 shared topics	Cultural Workers Bureau (CWB) - Ideas Are to be Explored, Not Ignored!	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kategraywrites.com ↗	65 match 2 shared topics	Kate Gray – Writer & Writing Coach	en	poetry WordPress	robotsllmsaihumans	emailphone	none
mdaigh.com ↗	64 match 2 shared topics	Marianne Daigh – writing & photography	en	poetry WordPress	robotsllmsaihumans	emailphone	none
howardsalzman.com ↗	64 match 2 shared topics	Aphorisms and Poetry - Find Yourself in the Words of Howard Salzman	United States~ en	poetry WordPress	robotsllmsaihumans	emailphone	none
hello-megs.com ↗	64 match 2 shared topics	Hello Megs – In the cafe, drinking tea, dreaming, not fighting a dragon, often breaking into a run.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
btwreviews.com ↗	64 match 2 shared topics	BTWReviews.com – The Work of Birrell Walsh	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
darlenenyc.com ↗	64 match 2 shared topics	Writings from the Inner Voice – In the space between language and self	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	full · 12
katjapesonen.com ↗	64 match 2 shared topics	Katja Pesonen – A journalist and a writer. Welcome to my world.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
heberesford.com ↗	64 match 2 shared topics	H. E. BERESFORD – These words are as scary or as sweet as you want them to be.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kayseeleyauthor.com ↗	64 match 2 shared topics	Kay Seeley Author – Books, short stories, poetry, writing in general	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
danhaisletpoet.com ↗	64 match 2 shared topics	Daniel E Haislet – dig well and drink of the water	en	poetry WordPress	robotsllmsaihumans	emailphone	none
1000daysofpoetry.com ↗	64 match 2 shared topics	1000 Days of Poetry – A journey through the days to finally publish a book	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.