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Clean water, healthcare & education for Kenya | Rowley Projects — 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 Environment →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nc-cleanwater.com ↗	66 match 1 shared topics	Clean Water Education Partnership (CWEP) – Clean Water Begins with YOU and ME	en	environment WordPress	robotsllmsaihumans	emailphone	none
earthlabva.org ↗	65 match 1 shared topics	EarthLab – Immersive environmental education for all!	en	environment WordPress	robotsllmsaihumans	emailphone	none
naturerestorationprojects.com ↗	65 match 1 shared topics	Nature Restoration Projects	en	environment Squarespace Magento	robotsllmsaihumans	emailphone	none
naturerestorationproject.com ↗	65 match 1 shared topics	Nature Restoration Projects	en	environment Squarespace Magento	robotsllmsaihumans	emailphone	none
aaee.org.au ↗	65 match 1 shared topics	Australian Association for Environmental Education (AAEE)	Australia en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
windref.gd ↗	65 match 1 shared topics	WINDREF – Windward Islands Research & Education Foundation	en	environment WordPress	robotsllmsaihumans	emailphone	none
mlcawag.org ↗	65 match 1 shared topics	Mountain Lake Community Association & Watershed Advisory Group \| Clean safe water, a healthy watershed, and an educated citizenry	en	environment WordPress	robotsllmsaihumans	emailphone	none
deforestationeducation.com ↗	65 match 1 shared topics	Deforestation Education	en	environment	robotsllmsaihumans	emailphone	none
geprep.org ↗	65 match 1 shared topics	The Global Environment Protection and Restoration Education Project (GEPREP)	en	environment	robotsllmsaihumans	emailphone	none
afsampledashboard.website ↗	65 match 1 shared topics	Climate Adaptation Projects Dashboard	en	environment	robotsllmsaihumans	emailphone	none
wildolympics.com ↗	65 match 1 shared topics	Wild Olympics Campaign \| Clean Water, Forests and Fish for Our Future	United States~ en	environment WordPress	robotsllmsaihumans	emailphone	none
wildolympics.org ↗	65 match 1 shared topics	Wild Olympics Campaign \| Clean Water, Forests and Fish for Our Future	United States~ en	environment WordPress	robotsllmsaihumans	emailphone	none
whatcomenvironmentaleducation.com ↗	65 match 1 shared topics	Coalition \| Whatcom Coalition for Environmental Education \| Washington	en	environment Wix	robots llmsaihumans	emailphone	none
srivaranam.org ↗	65 match 1 shared topics	Srivaranam Organisation for the Environmental Education (SOEE) – SOEE	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cwpla.org ↗	65 match 1 shared topics	Clean Water Professionals of Louisiana	en	environment Joomla	robotsllmsaihumans	emailphone	none
wildlifewateringhole.org ↗	65 match 1 shared topics	Wildlife Watering Hole Project	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
wildref.org ↗	65 match 1 shared topics	Wildlife Research and Education Foundation \| WildREF	en	environment Spree Commerce	robotsllmsaihumans	emailphone	none
daeeonline.org ↗	65 match 1 shared topics	DAEE Online – Online home of the Delaware Association for Environmental Education	en	environment WordPress WooCommerce	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.