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Microbial Mud – A Microcosm of Minerals and Microbes — 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
africamineralsobservatory.org ↗	65 match 1 shared topics	Africa Grassroots Observatory on Critical and Strategic Minerals \| AGOCSM	en	environment	robotsllmsaihumans	emailphone	none
gaea-press.com ↗	64 match 1 shared topics	Gaeapress – A Spotlight on Eco-warriors and Eco-preneurs around the World	en	environment WordPress	robotsllmsaihumans	emailphone	none
afaere.org ↗	63 match 1 shared topics	AFAERE – African Association of Environmental and Resource Economists	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mdnrmanagementplans.org ↗	63 match 1 shared topics	General Management Plans – Michigan Department of Natural Resources	United States~ en	environment WordPress	robotsllmsaihumans	emailphone	none
botheredearth.com ↗	63 match 1 shared topics	Bothered Earth – a hub for neighborly ventures into making things right	en	environment WordPress	robotsllmsaihumans	emailphone	none
deqblog.com ↗	63 match 1 shared topics	AIR, LAND & WATER – Stories of environmental protection in Oregon	en	environment WordPress	robotsllmsaihumans	emailphone	none
jem-online.org ↗	63 match 1 shared topics	Journal of Ecosystems and Management	en	environment	robotsllmsaihumans	emailphone	none
janacox.com ↗	63 match 1 shared topics	Jana Cox – Researcher of river and delta morphodynamics	en	environment WordPress	robotsllmsaihumans	emailphone	none
adaptecology.org ↗	63 match 1 shared topics	adapt: community supported ecology – Ecological restoration through native plant gardens and community	en	environment WordPress	robotsllmsaihumans	emailphone	none
bokashimyanmar.com ↗	63 match 1 shared topics	Bokashi Myanmar – Organic waste is not trash!	en	environment WordPress	robotsllmsaihumans	emailphone	none
mcgea.net ↗	63 match 1 shared topics	McGEA – Metalloenzymes and cells for Green Environmental Alternatives	en	environment WordPress	robotsllmsaihumans	emailphone	none
mckeever.org ↗	63 match 1 shared topics	McKeever Environmental Learning Center – Educational Programs, Event Hosting, and Outdoor Experiences for Schools and General Public	United States~ en	environment WordPress	robotsllmsaihumans	emailphone	none
mdehn.org ↗	63 match 1 shared topics	MdEHN - Maryland Environmental Health Network – We improve the health of Marylanders	United States~ en	environment WordPress	robotsllmsaihumans	emailphone	none
disappearingvictims.net ↗	63 match 1 shared topics	16 years later – and still no justice	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adamcummings.net ↗	63 match 1 shared topics	Adam Cummings – Curious and Quantitative	en	environment	robotsllmsaihumans	emailphone	none
gaiatechnologies.org ↗	63 match 1 shared topics	gaiatechnologies.org – science and politics of mother earth	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jameshbrand.com ↗	63 match 1 shared topics	Dr James H. Brand – Historic Landfill Research	en	environment WordPress	robotsllmsaihumans	emailphone	none
advayaplanetfoundation.com ↗	63 match 1 shared topics	Advaya Planet Foundation: Nurturing Earth and Minds \| Advaya Planet Foundation	en	environment	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.