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CORE™ for Solving Global Poverty — Policy Summaries Bridging Research and Practice — 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
clasp.org ↗	66 match 1 shared topics	Center for Law and Social Policy \| CLASP	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
rtds-group.eu ↗	66 match 1 shared topics	RTDS Group: Moving European Research to the Market	European Union en	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	email phone	none
lambethresearch.com ↗	65 match 1 shared topics	Lambeth Community Research Network	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
lampdevelopment.org ↗	65 match 1 shared topics	LAMP Development \| Evaluation and insight for social impact	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
1srg.org ↗	65 match 1 shared topics	1st Special Response Group - International Search and Rescue	en	non-profit-organizations	robotsllmsaihumans	email phone	none
mdrc.org ↗	65 match 1 shared topics	MDRC \| Building knowledge to improve social policy	en	non-profit-organizations Drupal	robotsllmsaihumans	emailphone	none
onewomancentral.com ↗	65 match 1 shared topics	One Woman Central – BADASS WOMEN MAKING GLOBAL HISTORY	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fenwayfoundation.com ↗	64 match 1 shared topics	Preserving and Enhancing the Longevity and Quality of Life of Friesian Horses \| The Fenway Foundation for Friesian Horses	en	non-profit-organizations Wix Wix Stores	robots llmsaihumans	emailphone	none
1-for-1.org ↗	64 match 1 shared topics	One of One \| A possibility to end poverty	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
corporatestatecraft.com ↗	64 match 1 shared topics	Corporate Statecraft \| A Research Program	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
arnova.org ↗	64 match 1 shared topics	Association for Research on Nonprofit Organizations and Voluntary Action	United States~ en	non-profit-organizations Joomla	robotsllmsaihumans	emailphone	none
blockchainforsocialimpact.com ↗	64 match 1 shared topics	Home - Blockchain for Social Impact	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
mcnv.org ↗	64 match 1 shared topics	MCNV – For health and development in South East Asia	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
caorc.org ↗	64 match 1 shared topics	Council of American Overseas Research Centers	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
cs-give.app ↗	64 match 1 shared topics	CS-Give — Secure Giving for Communities	en	non-profit-organizations	robots llmsaihumans	emailphone	none
lancashiretsar.org ↗	64 match 1 shared topics	Lancashire Technical Search & Rescue - Non-Profit Organization	en	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
bacharlorai.com ↗	64 match 1 shared topics	BacharLorai Global	en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	none
aadconference.africa ↗	64 match 1 shared topics	Africa and African Diaspora Conference	en	non-profit-organizations WordPress WooCommerce	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.