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Jonathan Murnane – I am the author behind LAST RIDE AT ELYSIAN PARK and other projects — 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
dianastout.net ↗	67 match 1 shared topics	Behind the Scenes with Dr. Diana Stout \| Musings of a screenwriter, author and what goes on behind the scenes	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonisthoughtsonlife.com ↗	67 match 1 shared topics	Thoughts – life and other weird stuff	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonathanalter.com ↗	67 match 1 shared topics	Home \| Jonathan Alter \| Author and Columnist	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
johnbaker-author.com ↗	67 match 1 shared topics	John Baker: The Author and Adventurer Behind Stalin’s Wine Cellar	en	books-and-literature	robotsllmsaihumans	emailphone	none
ctshelby.com ↗	66 match 1 shared topics	CT Shelby – An author and his work	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
bandanaghosh.com ↗	66 match 1 shared topics	Bandana Ghosh - About the Author -- Bandana Ghosh	en	books-and-literature Weebly	robotsllmsaihumans	emailphone	none
fantasizer7.com ↗	66 match 1 shared topics	Story Scientist – To dissect the science behind your favorite story and the formula behind every author's dream.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
narrativeparadise.com ↗	66 match 1 shared topics	Narrative Paradise – Books, Taylor Swift, and other hyperfixations	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joaopcoelho.com ↗	66 match 1 shared topics	João Coelho \| A home for projects and explorations.	en	books-and-literature	robotsllmsaihumans	emailphone	none
precariouswriter.com ↗	66 match 1 shared topics	Precarious Writer – Chronicling the instability of being a writer and other mad pursuits.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
disheveledshelf.com ↗	66 match 1 shared topics	Disheveled Shelf – Book reviews, news, and other artifacts	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
nancyrue.com ↗	66 match 1 shared topics	Nancy Rue – Author – Supporter of Writers – Encourager of the Authentic Life	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
susanjaustin.com ↗	66 match 1 shared topics	Susan J. Austin, PhD – Author and Educator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
hannahkarenajones.com ↗	66 match 1 shared topics	Hannah Karena Jones – Author and Book Lover	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonathanhuston.com ↗	66 match 1 shared topics	Jonathan Huston – Writer in the Rhine Valley and on the Pacific Coast	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonathanslator.com ↗	66 match 1 shared topics	Jonathan Slator – Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonathanelmers.com ↗	66 match 1 shared topics	My Other Office – Jonathan Elmer	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
jonathanpjehle.com ↗	66 match 1 shared topics	JONATHAN P. JEHLE	en	books-and-literature Square Online	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.