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IPPSN – Integration Program for Persons with Social Needs — 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
newroutes.org.uk ↗	66 match 2 shared topics	home - New Routes Integration	United Kingdom en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jankiswfoundation.org ↗	65 match 2 shared topics	Janki Social Welfare Foundation – Humanity's Helping Hand	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jawid.org ↗	64 match 2 shared topics	Jawid Foundation – Jawid Charity Food Program – Feeding Families, Building Futures	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dignityaidinternational.org ↗	64 match 2 shared topics	Dignity Aid International – Giving Aid with Dignity	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3rglobaloutreachinc.com ↗	64 match 2 shared topics	Empowering Communities Through Revival and Restoration Programs \| 3R Global Outreach INC	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
cspusa.org ↗	64 match 2 shared topics	Community Service Programme – CSP USA	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
jaigurudevgroup.org ↗	64 match 2 shared topics	Jai Gurudev Group oF Social Welfare Organisations Nagod	en	non-profit-organizations	robotsllmsaihumans	email phone	none
dharmarthbridhasram.org ↗	64 match 2 shared topics	Dharmarth Bridhasram Foundation – Dharmarth Bridhasram Foundation	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
1restoration.org ↗	64 match 2 shared topics	RESTORATION ORGANIZATION * Bridging The Gap For Those In Need	United States~ en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1loves.org ↗	63 match 2 shared topics	1Love – Connecting Needs to Helpers	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
silentwarfoundation.org ↗	63 match 2 shared topics	Silent War Foundation –	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csh.org ↗	63 match 2 shared topics	Corporation for Supportive Housing \| CSH	en	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
adarsha.org ↗	63 match 2 shared topics	ADARSHA – Agency for Development Awakening and Rural Self Help Associations	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
africacharityaid.org ↗	63 match 2 shared topics	AFRICA CHARITY AID FOR THE NEEDY – AFCHAID	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dhimansocialwelfaretrust.com ↗	63 match 2 shared topics	Dhiman Social welfare trust	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scipinc.com ↗	63 match 2 shared topics	Springhill Community Impact Programs – Transforming Lives	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
afrrsc.com ↗	63 match 2 shared topics	Army Retirement Residence Foundation – Potomac	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
aedrainternational.org ↗	63 match 2 shared topics	AEDRA INTERNATIONAL – Supporting people in rural areas	en	non-profit-organizations WordPress	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.