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New Hope CDC – Helping the Community of Yolo County — 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 Government Support And Welfare →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
simplyhelpingpeople.org ↗	70 match 2 shared topics	Simply Helping People Inc \| helping the community	en	government-support-and-welfare Wix	robots llmsaihumans	emailphone	none
mvcommunityofhope.org ↗	68 match 2 shared topics	Mesilla Valley Community of Hope	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
kindnessnearme.com ↗	67 match 2 shared topics	Kindness Near Me - Australian Community Helping Network	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
sistershelpingsistersinc.com ↗	67 match 2 shared topics	Sisters Helping Sisters Community Foundation \| Fresno, CA	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
milleniummother.org ↗	67 match 2 shared topics	Millenium Mother Foundation – Helping the Less Privileged	en	government-support-and-welfare WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cssny.org ↗	66 match 2 shared topics	Community Service Society of New York	United States~ en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
cseeds.org ↗	66 match 2 shared topics	Community Seeds	United States~ en	government-support-and-welfare	robotsllmsaihumans	email phone	none
4charity.my ↗	66 match 2 shared topics	4Charity – Building a better community for tomorrow	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
csppk.org ↗	65 match 2 shared topics	Community Services Programme – CSP	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
desertsolutionsnm.org ↗	65 match 2 shared topics	Desert Solutions, LLC – Helping communities address homelessness with innovative and evidence-based practices	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
4du.org ↗	65 match 2 shared topics	4du.org – For the Greater Disability Community and their Allies	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
mehrcommunity.com ↗	65 match 2 shared topics	Mehr Community — Melbourne	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
1stphoenix.org ↗	65 match 2 shared topics	1st Phoenix Community Center	en	government-support-and-welfare Squarespace Magento	robotsllmsaihumans	emailphone	none
1stphoenixcc.org ↗	65 match 2 shared topics	1st Phoenix Community Center	en	government-support-and-welfare Squarespace Magento	robotsllmsaihumans	emailphone	none
100womenwhocareineriecounty.com ↗	65 match 2 shared topics	100WWC – Making an impact in the lives of those in Erie County, Ohio	United States~ en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
africancommunityuk.org ↗	65 match 2 shared topics	Home - African Community Uk CIC	en	government-support-and-welfare WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thearcofclarke.com ↗	65 match 2 shared topics	Home - The Arc of Clarke County	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
fredsfriend.org ↗	65 match 2 shared topics	Friends of Fred – Unwavering strength of community and the transformative power of support	en	government-support-and-welfare WordPress	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.