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Decarbon Earth – Developer of products for negative carbon emissions. — 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
verdansa.org ↗	70 match 1 shared topics	Verdansa : Support clean air initiatives and reduce carbon emissions	en	environment	robotsllmsaihumans	emailphone	none
accountingnature.com ↗	70 match 1 shared topics	Carbonze \| carbon emission calculation	en	environment Wix	robotsllmsaihumans	emailphone	none
bluecarbonprojects.org ↗	67 match 1 shared topics	Blue Carbon Projects – Development Replenishment and Rehabilitation of REDD+ Mangrove Projects Around The World	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
blueboson.tech ↗	66 match 1 shared topics	Blue Boson SE – Developer	en	environment WordPress	robotsllmsaihumans	emailphone	none
cs4usa.org ↗	66 match 1 shared topics	Mission of the Creative Society Project	en	environment	robotsllmsaihumans	emailphone	none
bluecarbonlab.org ↗	66 match 1 shared topics	Home - Blue Carbon Lab	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
tuneuptheearth.com ↗	65 match 1 shared topics	Help KSE Protect Earth - Kids for Saving Earth	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cima.earth ↗	65 match 1 shared topics	Methane Emission Alerts - Clima Alerts	en	environment	robotsllmsaihumans	emailphone	none
3for-project.org ↗	65 match 1 shared topics	3FOR Project – Developing climate-smart forestry strategies for European regions	en	environment WordPress	robotsllmsaihumans	emailphone	none
ayce.earth ↗	65 match 1 shared topics	All You Can Eat \| AYCE.earth wants you to know your foods carbon footprint.	en	environment	robotsllmsaihumans	email phone	none
quantik-netzero.net ↗	65 match 1 shared topics	Quantik » Quantify and Monitor the enteric methane emissions	en	environment WordPress	robotsllmsaihumans	emailphone	none
qualitycomment.org ↗	65 match 1 shared topics	Quality Comment – Providing resources for a quick effective comment on Pebble Mine.	en	environment WordPress WooCommerce	robotsllmsaihumans	emailphone	none
beyondcarbon.earth ↗	64 match 1 shared topics	Beyond Carbon \| Beyond Carbon was founded in 2024 to counter carbon-oriented forest data infrastructures with community-owned knowledges of landscapes.	en	environment	robotsllmsaihumans	emailphone	none
mcerts.net ↗	64 match 1 shared topics	Monitoring emissions to air, land and water (MCERTS) - GOV.UK	en	environment	robotsllmsaihumans	emailphone	none
bishopsstortfordclimategroup.org ↗	64 match 1 shared topics	Bishop's Stortford Climate Group – Helping Bishop's Stortford's residents and businesses reduce their carbon emissions	en	environment WordPress	robotsllmsaihumans	emailphone	none
gcf.co ↗	64 match 1 shared topics	The world’s climate fund for developing countries \| Green Climate Fund	Colombia en	environment Drupal	robotsllmsaihumans	emailphone	none
bluecarbonpolicy.org ↗	64 match 1 shared topics	Policy Framework for Blue Carbon Ecosystems	en	environment	robotsllmsaihumans	emailphone	none
laafortune.com ↗	64 match 1 shared topics	Home - Laa fortune developers and Builders	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.