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SPLAT-PH – Supporting Parents Learners Administrators and Teachers | SPLAT — 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 Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
splatph.com ↗	85 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
splat.ph ↗	85 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
splat-ph.com ↗	85 match 1 shared topics	SPLAT-PH – Supporting Parents Learners Administrators and Teachers \| SPLAT	en	education WordPress	robotsllmsaihumans	emailphone	none
meemicfoundation.org ↗	67 match 1 shared topics	Grants for Teachers and Educators \| The Meemic Foundation	en	education Adobe Experience Manager	robotsllmsaihumans	emailphone	none
boredteachers.com ↗	67 match 1 shared topics	Bored Teachers \| Celebrating Educators Every Day.	en	education WordPress	robotsllmsaihumans	emailphone	none
lwesf.org ↗	66 match 1 shared topics	LWESF – Our Children Deserve Supported Teachers	en	education WordPress	robotsllmsaihumans	emailphone	none
learninginlibraries.com ↗	66 match 1 shared topics	Learning In Libraries – Supporting Education in Libraries	en	education WordPress	robotsllmsaihumans	emailphone	none
thelearnedteacher.com ↗	66 match 1 shared topics	The LearnEd Teacher	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
4cmta.com ↗	66 match 1 shared topics	Four Corners Music Teachers Association	en	education	robotsllmsaihumans	emailphone	none
ei4aisignals.com ↗	65 match 1 shared topics	EI Signal Stories — Built for Students and Teachers	en	education	robotsllmsaihumans	emailphone	none
learningsolutionsandconsulting.com ↗	65 match 1 shared topics	Learning Solutions & Consulting – Educational Support for ALL Learners	en	education WordPress	robotsllmsaihumans	emailphone	none
vivekjaglan.com ↗	65 match 1 shared topics	Dr. Vivek Jaglan – Academician – Researcher – Administrator	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meadowlarkptsa.org ↗	65 match 1 shared topics	MeadowlarkPTSA – Supporting all students at Meadowlark School in Erie, CO.	en	education WordPress	robotsllmsaihumans	emailphone	none
macandmarie.org ↗	65 match 1 shared topics	Mac & Marie 🌀 – two Bronx-based teachers learning beside students in our multilingual classrooms	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meaghantownsend.com ↗	65 match 1 shared topics	Meaghan Townsend – Writing and teaching.	en	education WordPress	robotsllmsaihumans	emailphone	none
maclea-ma.org ↗	65 match 1 shared topics	Massachusetts Association of Campus Law Enforcement Administrators – Official Website	en	education WordPress	robotsllmsaihumans	emailphone	none
cmeasoutheast.org ↗	65 match 1 shared topics	CMEA Southeastern Section – Supporting Music Education For All Students In Our Region	United States~ en	education WordPress	robotsllmsaihumans	emailphone	none
learning-out-loud.com ↗	65 match 1 shared topics	Learning Out Loud – Your gateway to science-backed learning and teaching strategies.	en	education 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.