ESG and carbon reporting · November 2026 Edition
Coolset vs Workiva ESG
Zero of fourteen models named Coolset first on the direct prompt; one named Workiva ESG. Coolset was named by nine of the fourteen models and Workiva ESG by fourteen and Coolset carries 15 labels and Workiva ESG 45, so the shares are not directly comparable.
Named in one category this edition.
Workiva ESG
criticized challengerNamed in one category this edition.
First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%49%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 13; printed, not drawn.
Labels1545A 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 Workiva ESG · Persefoni 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 modelsWorkiva ESGDirect016 against Workiva ESG
Paraphrase10
Comparative013
Budget-constrained007 against Workiva ESG
Scale-constrained003 against Workiva ESG
Negative006 against Workiva ESG
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 Workiva ESG stood in it.
| Model | DirectWE | ParaphraseWE | ComparativeWE | Budget-constrainedWE | Scale-constrainedWE | NegativeWE |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | WE | |||||
| GPT-5.4 mini | WE | WE | WE | |||
| Gemini 3.5 Flash | WE | WE | WE | WE | ||
| Perplexity Sonar | WE | | WE | WE | WE | |
| Grok 4.20 | WE | | WE | WE | WE | WE |
| Mistral Small | WE | | WE | WE | WE | |
| DeepSeek V4 Flash | WE | | WE | WE | WE | WE |
| Llama 4 Maverick | | WE | ||||
| Qwen 3.7 Flash | WE | WE | ||||
| Kimi K2 | WE | |||||
| GLM 4.7 FlashX | | WE | ||||
| MiniMax M2.5 | WE | WE | ||||
| GPT-6 Luna | WE | WE | ||||
| Muse Glimmer 30B | WE | | WE | WE |
CoolsetWE Workiva ESG first choice named as an alternative argued againstblank: not namedEach cell is one answer, Coolset on the left and Workiva ESG on the right.The direct prompt
The plain question, one answer per model, grouped by where Coolset and Workiva ESG stood in it.
Workiva ESG first, Coolset not the choice
1 of 14 modelsCoolset was named in the answer but not as the choice, or not at all.GPT-5.4 miniWorkiva ESG alternatives: FigBytes, Horizon ESG, KEY ESG, Metrio
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarNovata alternatives: Coolset, Greenly, Novisto, Sweep
MiniMax M2.5Novisto, Precoro ESG alternatives: IBM Envizi, Workiva ESG
GPT-6 LunaSweep alternatives: Greenly, Workiva ESG
Muse Glimmer 30BEmerald Power alternatives: Coolset, ESG:ONE, Envoria, Normative, Sweep, cubemos
Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5EcoOnline ESG alternatives: Diligent ESG, Novisto, Sweep
Gemini 3.5 FlashGreenly alternatives: Gravity, KEY ESG, Novata, Sweep, Watershed
Grok 4.20Sweep alternatives: Novisto, Persefoni
Mistral SmallEmerald Power, Horizon ESG alternatives: Metrio, Position Green
DeepSeek V4 FlashGreenly, cubemos alternatives: Emerald Power, Horizon ESG, Sweep
Llama 4 Maverickno first choice
Qwen 3.7 FlashNovisto, Persefoni alternatives: ESG:ONE, Sweep, Watershed
Kimi K2ESG:ONE alternatives: Diligent ESG, EcoOnline ESG, Greenly
GLM 4.7 FlashXEmerald Power alternatives: Atlas Metrics, Greenly, Normative, Novato, Sweep
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
Workiva ESG leads by two points.
Workiva ESG4%#6 of 17
Coolset2%#10 of 17Mid-marketThe figures above
Level: the same share of first choices.
Coolset2%#6 of 13Workiva ESG2%#7 of 13
The full mid-market standing →Enterprise
Workiva ESG leads by thirty-nine points.
Workiva ESG39%#1 of 11
Coolset0%#– of 11What the models said about Coolset
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“the most recommended carbon accounting platforms are Greenly and Coolset” Mistral Small · paraphrase prompt · first choice
“Coolset - Best for mid-sized companies that need structure, speed, and clarity without enterprise-level complexity.” Llama 4 Maverick · paraphrase prompt · alternative
“Best for: Mid-market companies needing structure and speed without enterprise-level complexity” GLM 4.7 FlashX · paraphrase prompt · alternative
What the models said about Workiva ESG
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 (When on a Tight Budget) - Workiva, Sphera, IBM Envizi – Enterprise-grade platforms with heavy implementation costs” DeepSeek V4 Flash · budget prompt · hard negative
“it is recommended to avoid Workiva if you are a smaller ESG team, have a tight budget, or prioritize carbon-first reporting” Mistral Small · negative prompt · hard negative
“Avoid jumping to larger enterprise tools like Workiva unless you already know you need advanced controls” GPT-5.4 mini · budget prompt · hard negative
“If your priority is board-ready, auditable ESG reporting with strong controls, Workiva and IBM Envizi tend to stand out.” GPT-5.4 mini · comparative prompt · first choice
“Choose Workiva when the priority is controlled, auditable ESG disclosure tied to finance, legal, and investor reporting.” Perplexity Sonar · comparative prompt · first choice
“Leading platform for governed, audit-ready ESG disclosures, especially for large organizations with complex reporting needs.” Mistral Small · comparative 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.