ESG and carbon reporting · October 2026 Edition
Coolset vs Watershed
One of fourteen models named Coolset first on the direct prompt; one named Watershed. Coolset was named by six of the fourteen models and Watershed by fourteen and Coolset carries 11 labels and Watershed 30, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share7%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%23%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 13; printed, not drawn.
Labels1130A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Coolset 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 Coolset · Greenly vs Watershed · Sweep vs Coolset
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.
CoolsetFirst choices, of fourteen modelsWatershed
Direct112 against Watershed
Paraphrase103 against Watershed
Comparative01
Budget-constrained002 against Watershed
Scale-constrained21
Negative001 against Coolset
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Coolset and Watershed stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
Coolset Watershed first choice named as an alternative argued againstblank: not namedEach cell is one answer, Coolset on the left and Watershed on the right.The direct prompt
The plain question, one answer per model, grouped by where Coolset and Watershed stood in it.
Coolset first, Watershed not the choice
1 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
Watershed first, Coolset not the choice
1 of 14 modelsCoolset 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.Claude Haiku 4.5EcoOnline ESG alternatives: Coolset, Novata, Sweep
DeepSeek V4 FlashSweep alternatives: Coolset, Greenly, Novisto
Muse Glimmer 30BNovisto, Sweep alternatives: Coolset, Novata
Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniWorkiva alternatives: Credibl ESG, IBM Envizi, Microsoft Cloud for Sustainability
Perplexity SonarGreenly alternatives: EcoOnline ESG, Novata, Novisto, Sweep
Grok 4.1 FastGreenly, Sweep alternatives: Horizon ESG, cubemos
Mistral SmallSweep alternatives: EcoOnline ESG, Novata
Llama 4 MaverickSweep alternatives: EcoOnline ESG, Novata
Kimi K2Novata, Position Green alternatives: Greenly, Novisto, Workiva
GLM 4.7 FlashXWorkiva alternatives: Greenly, Measurabl, Novisto, Persefoni, Position Green
MiniMax M2.5Plan A, Sweep alternatives: EcoOnline ESG, Novata
GPT-6 LunaGreenly alternatives: Novisto, Workiva
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
Mid-marketThe figures above
Enterprise
The order flips: Watershed leads at enterprise.
Watershed33%#2 of 11Coolset0%#– of 11What the models said about Coolset
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Generic/high emission factors until customized.” Grok 4.1 Fast · negative prompt · soft negative
“I'd pick Coolset for most mid-sized B2B companies because the available guidance specifically points to it as well-suited to the mid-market use case.” Perplexity Sonar · paraphrase prompt · first choice
“Mid-market platforms like Coolset, EcoOnline ESG, Sweep, or Guideflow often fit best... Coolset for multi-framework AI” Grok 4.1 Fast · scale prompt · first choice
“Coolset (strong CSRD, EU Taxonomy, EcoVadis coverage)” DeepSeek V4 Flash · scale 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
Greenly vs CoolsetGreenly vs WatershedSweep vs CoolsetSweep vs WatershedCoolset vs PersefoniCoolset vs NovistoCoolset vs Plan ACoolset vs WorkivaPersefoni vs WatershedWatershed vs NovistoWatershed vs Plan AWatershed vs WorkivaAll twenty-eight head-to-head pages and the full ESG and carbon reporting standing
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.