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Deborahblessfoundation alternatives & similar sites

Deborah Bless Foundation - EMPOWERING LIVES, FIGHTING MALNUTRITION, REDUCING CHILD MORTALITY — 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 Children S Health →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
avelafoundation.com ↗	67 match 1 shared topics	Avela Foundation \| Helping Children With Burn Injuries	en	children-s-health WordPress	robots llmsaihumans	email phone	none
dreamdayfoundation.net ↗	67 match 1 shared topics	Dream Day Foundation \| Benefitting St. Jude Children's Hospital	US~ en	children-s-health WordPress Square Online	robotsllmsaihumans	email phone	none
dreamdayfoundation.org ↗	67 match 1 shared topics	Dream Day Foundation \| Benefitting St. Jude Children's Hospital	US~ en	children-s-health WordPress Square Online	robotsllmsaihumans	email phone	none
dickeyfamilyfoundation.com ↗	66 match 1 shared topics	Branden and Jamie Dickey Family Foundation \| Helping Sick Children	en	children-s-health WordPress	robotsllmsaihumans	email phone	none
dilsemehek.org ↗	66 match 1 shared topics	DilSeMehek – Empowering Lives, Creating Better Futures	en	children-s-health	robotsllmsaihumans	emailphone	none
feedingfoundationsst.com ↗	66 match 1 shared topics	Feeding Foundations Speech Therapy \| London KY Feeding Therapy	US~ en	children-s-health	robotsllmsaihumans	email phone	none
ddmcf.org ↗	66 match 1 shared topics	Home - Dolores deMello Milho Charitable Foundation	en	children-s-health WordPress	robotsllmsaihumans	emailphone	none
samanthasmiles.com ↗	66 match 1 shared topics	Samantha Smiles Foundation	en	children-s-health	robotsllmsaihumans	emailphone	none
sanchitadaswani.com ↗	65 match 1 shared topics	Best Child Nutritionist in India - Sanchita Daswani	en	children-s-health	robotsllmsaihumans	emailphone	none
ctcf-ck.com ↗	65 match 1 shared topics	Home - Children's Treatment Centre Foundation	en	children-s-health WordPress WooCommerce	robots llmsaihumans	emailphone	none
feedingfixer.com ↗	65 match 1 shared topics	Home \| Feeding Fixer Nutrition for Complex Feeding Challenges & Tube Feeding	en	children-s-health Wix	robots llmsaihumans	emailphone	none
abonimarufoundation.com ↗	65 match 1 shared topics	Home - AM Foundation	en	children-s-health WordPress	robotsllmsaihumans	emailphone	none
curejdm.org ↗	65 match 1 shared topics	Cure JDM \| Fighting Juvenile Dermatomyositis Together	en	children-s-health	robotsllmsaihumans	emailphone	none
happychildwellness.com ↗	64 match 1 shared topics	Happy Child Wellness - Home	en	children-s-health Weebly	robotsllmsaihumans	emailphone	none
abramsnation.com ↗	64 match 1 shared topics	Abram's Nation - Home of The Safety Sleeper® and More \| Abram's Nation	en	children-s-health Shopify	robots llmsaihumans	email phone	none
drjerryk.com ↗	64 match 1 shared topics	Kartzinel Wellness Center \| Healing Children, Helping Families	en	children-s-health WordPress WooCommerce	robotsllmsaihumans	emailphone	none
babbleandmunch.com.au ↗	64 match 1 shared topics	Babble & Munch Speech Pathology \| Support for infant and child feeding, swallowing and early communication skills	AU en	children-s-health WordPress WooCommerce	robotsllmsaihumans	email phone	none
4efoundation.org ↗	64 match 1 shared topics	4E Foundation	US~ en	children-s-health Squarespace Squarespace Commerce	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.