similar sites

Browse

AI Report Tools

Sites similar to effectology.org

Effectology alternatives & similar sites

Ion Grumeza | Author, historian, educator, and philosopher — 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
susanwisebauer.com ↗	70 match 1 shared topics	Susan Wise Bauer [Official] - Best Selling Author, Historian, & Publisher	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
johnprevas.com ↗	70 match 1 shared topics	John Prevas \| Author, Speaker, Mediator, and Classics Scholar	US~ en	books-and-literature	robotsllmsaihumans	emailphone	none
lucasmurrey.com ↗	69 match 1 shared topics	Dr. Lucas Murrey - Author, Philosopher, Cultural Critic	en	books-and-literature	robotsllmsaihumans	emailphone	none
ztlinville.com ↗	69 match 1 shared topics	Zachary Tyler Linville — Author · Educator · Project Management	en	books-and-literature	robotsllmsaihumans	emailphone	none
lukeburgis.com ↗	69 match 1 shared topics	Luke Burgis \| Builder, Author, Educator	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hansmicaelblog.com ↗	68 match 1 shared topics	hansmicaelblog – a journal on politics, history, poetry, art and philosophy	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
barrymathias.net ↗	68 match 1 shared topics	Barry Mathias \| Author of Historical Fiction, Short Stories, and Poems	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
caronlevis.com ↗	68 match 1 shared topics	Children's Books \| Caron Levis Author, Educator, LMSW	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
nakiahill.com ↗	68 match 1 shared topics	Nakia Hill is a writer, educator, and journalist.	en	books-and-literature	robotsllmsaihumans	emailphone	none
jonathannielson.com ↗	68 match 1 shared topics	Jonathan Nielson – Author, Professor, Historian	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
susanjaustin.com ↗	68 match 1 shared topics	Susan J. Austin, PhD – Author and Educator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
abimbolaalaka.com ↗	68 match 1 shared topics	Abimbola Alaka - Author \| Speaker \| Educator	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
susanconway.com ↗	68 match 1 shared topics	Susan Conway, author, artist and scholar.	en	books-and-literature	robotsllmsaihumans	emailphone	none
nansloane.com ↗	68 match 1 shared topics	NAN SLOANE \| Labour historian, author and facilitator.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
samuelrwebb.com ↗	67 match 1 shared topics	Samuel R. Webb – Philosopher, translator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
sandrachait.com ↗	67 match 1 shared topics	Sandra Chait – writer, educator, wife, mother, and grandmother	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
planetpeschel.com ↗	67 match 1 shared topics	Bill Peschel: Author, Editor and Maker of Neat Books \| Bill Peschel	US~ en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
suzannahchua.com ↗	67 match 1 shared topics	Suzannah Chua – Author \| Illustrator \| Educator	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.