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Campaign for Working Families — 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
hanoverrelief.com ↗	67 match 3 shared topics	Hanover Relief Fund \| Supporting Families in Hanover & South Shore MA	US~ en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
beaheroforahero.org ↗	61 match 3 shared topics	The Independence Fund – Be a Hero for a Hero	US~ en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
bcfoundationfund.org ↗	60 match 3 shared topics	Boone County Foundation Fund	en	financial-assistance Squarespace Magento	robotsllmsaihumans	emailphone	none
beavercountyfoundation.com ↗	60 match 3 shared topics	Beaver County Foundation	en	financial-assistance WordPress	robotsllmsaihumans	emailphone	none
copts.org.au ↗	60 match 3 shared topics	COPTS Copticare Relief Fund \| Brings hope to needy	AU en	financial-assistance WordPress WooCommerce	robotsllmsaihumans	email phone	none
nandua.com ↗	60 match 3 shared topics	Nandua \| Let it shine.	en	financial-assistance	robotsllmsaihumans	emailphone	none
dignitybridge.org ↗	47 match 2 shared topics	Dignity Bridge — One month of dignity for families in crisis	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
bedarinitiative.org ↗	45 match 2 shared topics	Home - Bedar Community Outreach for Workers	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
adelaidecitycare.com.au ↗	45 match 2 shared topics	Adelaide City Care – Empowering People for Life Change	AU en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
familyof5foundation.com ↗	45 match 2 shared topics	Home - Family of 5 Foundation	US~ en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
familyhelpresources.com ↗	45 match 2 shared topics	FamilyHelpResources.com – Financial Assistance For Families	en	government-support-and-welfare WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abroadimpact.org ↗	45 match 2 shared topics	Abroad Impact Collective — Diaspora support, direct to families in Africa	en	financial-assistance	robotsllmsaihumans	emailphone	none
beyondthestormnetwork.org ↗	44 match 2 shared topics	Home \| Beyond The Storm Network	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
habitat.org.au ↗	44 match 2 shared topics	Habitat for Humanity Australia -	AU en	government-support-and-welfare WordPress	robots llmsaihumans	emailphone	none
bdrelief.org ↗	44 match 2 shared topics	BDRelief.org — Relief for Bangladesh & the Bangladeshi Diaspora	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
a2caresolutions.org ↗	44 match 2 shared topics	Social Welfare \| Assist 2 Care Solutions	US~ en	government-support-and-welfare WordPress	robotsllmsaihumans	email phone	none
urji-women.com ↗	44 match 2 shared topics	URJI Women Support Association of Edmonton – Working Toward a Brighter Future	en	government-support-and-welfare WordPress	robotsllmsaihumans	emailphone	none
2ndchancementors.com ↗	44 match 2 shared topics	2nd Chance Mentors \| Youth Mentorship & Social Services \| South Dallas Fort Worth	en	government-support-and-welfare	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.