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Caroline Evans – Writing for the Common Good — 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 Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ccfj.org ↗	74 match 1 shared topics	Collaborative Center For Justice – Not Just Advocating, But Activating Change for the Common Good	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eastleighlions.org.uk ↗	72 match 1 shared topics	Eastleigh Lions – Serving the Community	United Kingdom en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ccgmi.org ↗	71 match 1 shared topics	Home - Clubhouse for the Common Good	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aboundant.org ↗	71 match 1 shared topics	Aboundant \| Web Design & More for the Common Good	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
carolinacommonground.org ↗	69 match 1 shared topics	Carolina Common Ground	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
1fortheworld.org ↗	68 match 1 shared topics	One for the World	United States~ en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	none
iasc-commons.org ↗	67 match 1 shared topics	The International Association for the Study of the Commons	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	partial · 8
obodoproject.org ↗	67 match 1 shared topics	The Obodo Project – Working with Today's Community for Tomorrow's Success	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
humanitarianfutures.org ↗	67 match 1 shared topics	Humanitarian Futures – Planning From The Future	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
bcsrio.org.br ↗	66 match 1 shared topics	BCS Rio – BCS Rio – The British & Commonwealth Society of Rio de Janeiro	Brazil en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rckymp.com ↗	66 match 1 shared topics	Grant Writing Services for Nonprofits \| Rocky Mountain Proposals	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
ccdfwe.org ↗	66 match 1 shared topics	CCDFWE – Uniting the Congolese Community in Dallas-Fort Worth	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
queerli.org ↗	66 match 1 shared topics	Queerli, Creating Safe Spaces for the LGBTQIA+ Long Island Community - Home	en	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
howardlodge93.org ↗	66 match 1 shared topics	Howard Masonic Lodge No. 93 - Searching for more, come explore the allegory of Freemasonry	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
aafftc.org ↗	66 match 1 shared topics	Home :: Asian American Foundation for the Carolinas	en	non-profit-organizations Concrete5	robotsllmsaihumans	emailphone	none
cbcempowerment.org ↗	66 match 1 shared topics	CBCE 501 (c) 3 – Empowering Communities from the Inside Out	en	non-profit-organizations WordPress Square Online	robotsllmsaihumans	emailphone	none
mcdowellendowment.org ↗	65 match 1 shared topics	The Community Foundation of Western North Carolina \| The McDowell…	en	non-profit-organizations	robotsllmsaihumans	email phone	none
incinvest.com.au ↗	65 match 1 shared topics	INC Invest – Resourcing The Vision	Australia en	non-profit-organizations 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.