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Cameron Hood – Editorial Leader and Newsletter Strategist — 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 Publishing Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cullencurtiss.com ↗	67 match 2 shared topics	Cullen Curtiss - writer and editor	en	publishing-industry	robotsllmsaihumans	emailphone	none
broadeditorial.com ↗	66 match 2 shared topics	Broad Editorial Writing & Publishing Services	en	publishing-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
focuseditorialservices.com ↗	66 match 2 shared topics	Dr Tess Millar \| Focus Editorial Services – editing and proofreading	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
sigmoneditorial.com ↗	66 match 2 shared topics	Sigmon Editorial	en	publishing-industry Tumblr	robotsllmsaihumans	emailphone	partial · 11
kathleenfraser.ca ↗	66 match 2 shared topics	Kathleen Fraser – Editorial Services, Writing and Communications Management: I can help you say what you want to say.	Canada en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
brightoneditorial.com ↗	66 match 2 shared topics	Brighton Editorial \| Copy editing and proofreading	en	publishing-industry Wix	robots llmsaihumans	emailphone	none
4eyezinkeditorial.com ↗	66 match 2 shared topics	Home - 4 Eyez Ink Editorial Services	en	publishing-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
leehornbrook.com ↗	66 match 2 shared topics	The Writing Prof Editorial Services – EDITOR \| WRITING COACH	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
ksimpson.ca ↗	66 match 2 shared topics	Kristin Simpson – Editor	Canada en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
freelanceeditorial.co.uk ↗	65 match 2 shared topics	freelance editorial development, copy editing & proofreading	United Kingdom en	publishing-industry	robotsllmsaihumans	emailphone	none
deathfuel.com ↗	65 match 2 shared topics	Ankur Bhardwaj — Writer, Systems Thinker, Narrative Strategist	en	publishing-industry	robotsllmsaihumans	emailphone	none
triplemeditorial.com ↗	65 match 2 shared topics	Triple M Editorial Services, LLC	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
nadakai.com ↗	64 match 2 shared topics	Editorial Services for Research Institutions, Policy Organizations & NGOs \| NADAKAI	India~ en	publishing-industry	robotsllmsaihumans	emailphone	none
editingeye.co.uk ↗	64 match 2 shared topics	Editing Services from a Trained and Experienced Proofreader - Editing Eye	United Kingdom en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
debbietheeditor.com ↗	64 match 2 shared topics	Debbie The Editor – Copy Editor, Proofreader	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
5eeditors.com ↗	64 match 2 shared topics	5E Independent Editors	en	publishing-industry Squarespace	robotsllmsaihumans	emailphone	none
aardvarkeditorial.com ↗	64 match 2 shared topics	Aardvark Editorial Services \| Professional Writing & Editing	en	publishing-industry	robotsllmsaihumans	emailphone	none
pred-ed.com ↗	63 match 2 shared topics	Preditors and Editors – Helping writers build their writing career and avoid scams while making good choices	en	publishing-industry 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.