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Central Kenilworth Avenue Revitalization Community Development | CKAR CDC — 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
abcdwomen.org ↗	74 match 1 shared topics	Association for Better Community Development (ABCD)	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cncde.net ↗	73 match 1 shared topics	Chickasaw Nation Community Development Endeavor, LLC	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
cidosouthsudan.org ↗	73 match 1 shared topics	CIDO - Community Initiative for Development Organization	en	non-profit-organizations	robotsllmsaihumans	email phone	none
helmsburgcdc.com ↗	73 match 1 shared topics	Helmsburg Community Development Corporation	en	non-profit-organizations	robotsllmsaihumans	emailphone	partial · 8
agetrust.org ↗	72 match 1 shared topics	AGE Foundation Trust \| Rural Healthcare, Nutrition & Community Development NGO	en	non-profit-organizations	robotsllmsaihumans	email phone	none
holcommunity.net ↗	72 match 1 shared topics	Hol Community Development Association	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
ahead-onlus.org ↗	71 match 1 shared topics	Ahead Onlus � Social Inclusion & Community Development NGO	United States~ en	non-profit-organizations	robotsllmsaihumans	email phone	none
ic4cd.com ↗	71 match 1 shared topics	Innovation center for community development	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hebroncommons.org ↗	71 match 1 shared topics	Hebron Commons – A Community Development Organization	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ibicd.com ↗	71 match 1 shared topics	IBICD - International Bridges for Inclusive Community Development	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
afri.dev ↗	70 match 1 shared topics	AfriDev — Africa Development Action Committee	United States~ en	non-profit-organizations	robotsllmsaihumans	email phone	none
aicdc-mn.org ↗	70 match 1 shared topics	American Indian Community Development Corporation	en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	none
hicodef.org ↗	70 match 1 shared topics	Himalayan Community Development forum	NP~ en	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
aadivanfoundation.org ↗	70 match 1 shared topics	Aadivan Foundation \| Top NGO in Jharkhand & NGO in Ranchi for Community Development	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
adewoyefoundation.org ↗	70 match 1 shared topics	Joseph Alabi Adewoye Foundation \| Continuing a Legacy of Community Development	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
afotatz.org ↗	70 match 1 shared topics	Ahsante Foundation Tanzania (AFOTA) \| Humanitarian Aid & Community Development NGO in Tanzania	TZ~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
cidevfdn.org ↗	70 match 1 shared topics	CIDev - Community Initiative For Development	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
adguganda.org ↗	70 match 1 shared topics	Action for Development Group (ADG) - Empowering Communities in Uganda	en	non-profit-organizations	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.