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Index › Equity and corporate › ESG and carbon reporting › Greenly vs Watershed
ESG and carbon reporting · October 2026 Edition

Greenly vs Watershed

Four of fourteen models named Greenly first on the direct prompt; one named Watershed. Greenly was named by twelve of the fourteen models and Watershed by fourteen and Greenly carries 36 labels and Watershed 30, so the shares are not directly comparable.

Greenly

endorsed leader

Named in one category this edition.

Watershed

accepted challenger

Named in one category this edition.

First-choice share36%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 13; printed, not drawn.
Labels3630A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Greenly reading right to left. Rank and label count are printed, not drawn.Sweep was named alongside these two in nine of the fourteen direct answers. Greenly vs Sweep · Greenly vs Coolset · Greenly vs Persefoni

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ESG and carbon reporting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GreenlyFirst choices, of fourteen modelsWatershed
Direct412 against Watershed
Paraphrase1003 against Watershed
Comparative01
Budget-constrained601 against Greenly · 2 against Watershed
Scale-constrained11
Negative001 against Greenly
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Greenly and Watershed were named in the same answer thirty-six times, of the 103 answers naming Greenly and the 84 naming Watershed. In those answers Watershed took the first choice zero times and Greenly fifteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Greenly and Watershed stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Greenly Watershed first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenly on the left and Watershed on the right.

The direct prompt

The plain question, one answer per model, grouped by where Greenly and Watershed stood in it.

Greenly first, Watershed not the choice

4 of 14 modelsWatershed was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashCoolset, Greenly alternatives: Gravity, KEY ESG, Novata, Sweep
Perplexity SonarGreenly alternatives: EcoOnline ESG, Novata, Novisto, Sweep
Grok 4.1 FastGreenly, Sweep alternatives: Horizon ESG, cubemos
GPT-6 LunaGreenly alternatives: Novisto, Workiva

Watershed first, Greenly not the choice

1 of 14 modelsGreenly was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashWatershed alternatives: Carbon Cloud, Enablon, Persefoni, PlanA, Sphera

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashSweep alternatives: Coolset, Greenly, Novisto
Kimi K2Novata, Position Green alternatives: Greenly, Novisto, Workiva
GLM 4.7 FlashXWorkiva alternatives: Greenly, Measurabl, Novisto, Persefoni, Position Green

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5EcoOnline ESG alternatives: Coolset, Novata, Sweep
GPT-5.4 miniWorkiva alternatives: Credibl ESG, IBM Envizi, Microsoft Cloud for Sustainability
Mistral SmallSweep alternatives: EcoOnline ESG, Novata
Llama 4 MaverickSweep alternatives: EcoOnline ESG, Novata
MiniMax M2.5Plan A, Sweep alternatives: EcoOnline ESG, Novata
Muse Glimmer 30BNovisto, Sweep alternatives: Coolset, Novata

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Greenly leads by forty-eight points.
Greenly48%#1 of 12
Watershed0%#12 of 12
The full small business standing →
Mid-marketThe figures above
Greenly leads by thirty-two points.
Greenly36%#1 of 13
Watershed3%#5 of 13
The full mid-market standing →
Enterprise
The order flips: Watershed leads at enterprise.
Watershed33%#2 of 11
Greenly0%#– of 11
The full enterprise standing →

What the models said about Greenly

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Usually not ideal on a limited budget: tools like Greenly ... can be costly for small businesses” GPT-5.4 mini · budget prompt · soft negative
“High cost for smaller firms; first cycle needs heavy verification.” Grok 4.1 Fast · negative prompt · soft negative
“Need supported SME service with transparent pricing: Greenly. The €1,400 / $3,800 per year entry tier is the lowest published SME carbon/CSRD package in 2026.” Muse Glimmer 30B · budget prompt · first choice
“That makes it a good first pick when you want automated data collection, a user-friendly UI and lower total cost of ownership.” Muse Glimmer 30B · paraphrase prompt · first choice
“Greenly is the strongest all-around choice, offering a balance of affordability, ease of use, and robust features” Mistral Small · paraphrase prompt · first choice

What the models said about Watershed

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“What to Avoid - Watershed — Excellent but typically over $50K–$250K/year; better suited for large enterprises” Kimi K2 · paraphrase prompt · hard negative
“rather than self-serve platforms (like Watershed, which assumes you have an in-house expert to run the strategy)” Gemini 3.5 Flash · direct prompt · soft negative
“built for large corporations and carry five-figure price tags and long sales cycles” Gemini 3.5 Flash · budget prompt · soft negative
“Choose Watershed or Persefoni if: Your primary immediate pain point is calculating Scope 1, 2, and 3 emissions accurately” Qwen 3.7 Flash · comparative prompt · first choice
“It is the current market leader for mid-market to enterprise. It excels at automating carbon accounting” Qwen 3.7 Flash · direct prompt · first choice
“I'd suggest focusing on vendors like Greenly, Novisto, Tracera, or Watershed” MiniMax M2.5 · scale prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.