ESG and carbon reporting · October 2026 Edition
Greenly vs Workiva
Four of fourteen models named Greenly first on the direct prompt; two named Workiva. Greenly was named by twelve of the fourteen models and Workiva by thirteen and Greenly carries 36 labels and Workiva 30, so the shares are not directly comparable.
Named in one category this edition.
Named in eleven categories this edition.
First-choice share36%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%40%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A 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 modelsWorkiva
Direct423 against Workiva
Paraphrase100
Comparative09
Budget-constrained601 against Greenly · 4 against Workiva
Scale-constrained101 against Workiva
Negative001 against Greenly · 4 against Workiva
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 Greenly and Workiva 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 | | |
Greenly Workiva first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenly on the left and Workiva on the right.The direct prompt
The plain question, one answer per model, grouped by where Greenly and Workiva stood in it.
Greenly first, Workiva an alternative
4 of 14 modelsWorkiva 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
Workiva first, Greenly an alternative
2 of 14 modelsGreenly was named in the answer but not as the choice, or not at all.GPT-5.4 miniWorkiva alternatives: Credibl ESG, IBM Envizi, Microsoft Cloud for Sustainability
GLM 4.7 FlashXWorkiva alternatives: Greenly, Measurabl, Novisto, Persefoni, Position Green
Neither was the first choice, one was named
2 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
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
Mistral SmallSweep alternatives: EcoOnline ESG, Novata
Llama 4 MaverickSweep alternatives: EcoOnline ESG, Novata
Qwen 3.7 FlashWatershed alternatives: Carbon Cloud, Enablon, Persefoni, PlanA, Sphera
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-six points.
Greenly48%#1 of 12Workiva2%#6 of 12Mid-marketThe figures above
Greenly leads by thirty-two points.
Greenly36%#1 of 13Workiva3%#8 of 13Enterprise
The order flips: Workiva leads at enterprise.
Workiva37%#1 of 11Greenly0%#– of 11What 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 Workiva
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid paying for enterprise platforms like Workiva unless you have complex disclosure, assurance, or multi-framework requirements” Perplexity Sonar · budget prompt · hard negative
“Avoid Workiva unless you're already a public company or have a dedicated compliance team with a six-figure software budget.” DeepSeek V4 Flash · direct prompt · hard negative
“ISG's 2025 Buyers Guide named Workiva, Salesforce, and Oracle the overall leaders... A strong candidate for public companies and assurance-focused teams.” GPT-6 Luna · comparative prompt · first choice
Also compared
Greenly vs SweepGreenly vs CoolsetGreenly vs PersefoniGreenly vs WatershedGreenly vs NovistoGreenly vs Plan ASweep vs WorkivaCoolset vs WorkivaPersefoni vs WorkivaWatershed vs WorkivaNovisto vs WorkivaPlan A 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.