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BEAM – Building Essex Area Mutuality — 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
dindeya.org ↗	66 match 1 shared topics	Dindeya – Building Healthcare, Strengthening Communities	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
csrtree.com ↗	66 match 1 shared topics	CSR Tree – Capacity Building for NGOs	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csrtree.org ↗	66 match 1 shared topics	CSR Tree – Capacity Building for NGOs	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
100whogive.com ↗	66 match 1 shared topics	100 Who Give – Building Local Philanthropic Communities	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
1ndy.org ↗	66 match 1 shared topics	1NDY - Building Indy Together	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ushrnetwork.org ↗	66 match 1 shared topics	US Human Rights Network – Building a People-Centered Movement	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aboundinginmight.com ↗	66 match 1 shared topics	Building Non Profits	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
samajtakfoundation.com ↗	66 match 1 shared topics	Samajtak Foundation – Building Stronger Communities Together.	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
feednewberg.com ↗	66 match 1 shared topics	Newberg Community Kitchen – Building Community One Meal at a Time!	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
abidjalofoundation.com ↗	65 match 1 shared topics	Fundação Abi Djaló – Nó Limpa Guiné \| Building Hope in Guinea-Bissau	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
salborn.com ↗	65 match 1 shared topics	Etienne Salborn – Building ecosystems where lived challenges become social enterprises.	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
jnpereira.com ↗	65 match 1 shared topics	Juliana Naranjo Pereira \| Community Building Expert	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
directactionresilience.org ↗	65 match 1 shared topics	Direct Action Resilience, LLC – Building Resilience through Adaptive Empowerment	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
utopianunionofunity.com ↗	65 match 1 shared topics	Utopian Union of Unity – Building Bonds, Fostering Growth, and Cultivating Community	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cwcf-ng.com ↗	65 match 1 shared topics	Hope Foundation - Building Hope, Changing Lives	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
3sninc.com ↗	65 match 1 shared topics	3rd Sector Network – An Innovative Approach to Building Capacity	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csf-ev.org ↗	64 match 1 shared topics	Civil Society Forum – We Build Bridges Between Civil Societies	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
narayanicare.com ↗	64 match 1 shared topics	Narayani Care Foundation - Empowering Lives, Building Futures	en	non-profit-organizations	robotsllmsaihumans	email phone	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.