similar sites

Browse

AI Report Tools

Sites similar to srltackitt.com

Srltackitt alternatives & similar sites

Saint-Rowan Tackitt – Cultural Anthropologist, Historian, Writer, Educator — 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
lmariewood.com ↗	68 match 1 shared topics	L. Marie Wood – Author – Screenwriter – Educator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
donovanirven.com ↗	67 match 1 shared topics	Donovan Irven – Philosopher, Essayist, Writer of Fiction	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
garyyialee.com ↗	67 match 1 shared topics	Gary Yia Lee \| Hmong Anthropologist	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
catherinekapphahn.com ↗	67 match 1 shared topics	Catherine Kapphahn – Writer, Educator, Speaker	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nedandrew.com ↗	67 match 1 shared topics	Ned Andrew Solomon — Writer, Editor, Facilitator, Speaker, Artist, Musician	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
nedandrewsolomon.com ↗	67 match 1 shared topics	Ned Andrew Solomon — Writer, Editor, Facilitator, Speaker, Artist, Musician	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
2trainbrooklyn.com ↗	66 match 1 shared topics	2TRAIN BROOKLYN – Local & Express Cultural Throughline	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
catherinetumber.com ↗	66 match 1 shared topics	Catherine Tumber: Person of Interests \| A catch-all site for my work as historian, journalist, and consultant	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
lizbourke.com ↗	66 match 1 shared topics	κῆπος τῶν βιβλιοθηκῶν \| a garden from the libraries – Liz Bourke: books, history, writing, and culture.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
mylesdungan.com ↗	66 match 1 shared topics	Myles Dungan \| Historian and broadcaster	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
elianahernandezpachon.com ↗	66 match 1 shared topics	Eliana Hernández-Pachón	en	books-and-literature	robotsllmsaihumans	emailphone	none
lobomarco.com ↗	65 match 1 shared topics	Marco Lobo – Sharing ideas on writing, history, travel and culture	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
lizrasley.com ↗	65 match 1 shared topics	Liz Rasley – Writer	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
skyobrien.com ↗	65 match 1 shared topics	Sky O'Brien – Writer	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
erictylerpowell.com ↗	65 match 1 shared topics	Eric Tyler Powell	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cattfoy.com ↗	65 match 1 shared topics	Catt Foy, Writer, Artist, Spiritual Advisor - Home	en	books-and-literature Weebly	robotsllmsaihumans	emailphone	none
lizwann.com ↗	65 match 1 shared topics	Liz Wann – Writer/Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cchuijgens.com ↗	65 match 1 shared topics	CC Huijgens – art educator exploring write ideas	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.