# Greenly vs Coolset: which do AI models recommend for ESG and carbon reporting, September 2026

Finance AI Recommendation Index, September 2026 Edition, ESG and carbon reporting. One of twelve models named Greenly first on the direct prompt; zero named Coolset. Page: https://finance-ai-index.com/corporate/esg-and-carbon-reporting/greenly-vs-coolset/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Greenly | 13% | #2 of 15 | 8% | 26 | 12 of 12 |
| Coolset | 8% | #5 of 15 | 0% | 19 | 10 of 12 |

## The direct prompt, model by model

- Gemini 3.5 Flash: greenly first (first choices: Greenly, Sweep) (alternatives: Coolset, Novata)
- Perplexity Sonar: neither first, one named (first choices: Novisto) (alternatives: EcoOnline ESG, Greenly, Novata, Sweep)
- Grok 4.1 Fast: neither first, one named (first choices: Sweep) (alternatives: Coolset, Novisto)
- Mistral Small: neither first, one named (first choices: Sweep) (alternatives: Coolset, EcoOnline ESG)
- DeepSeek V4 Flash: neither first, one named (first choices: Sweep) (alternatives: Coolset, Greenly, Plan A, Tanso)
- Kimi K2: neither first, one named (first choices: Novisto) (alternatives: Coolset, Sustain.Life, Sweep, Workiva)
- GLM 4.7 FlashX: neither first, one named (first choices: Novisto) (alternatives: EcoOnline ESG, Greenly, Sustain.Life, Sweep)
- MiniMax M2.5: neither first, one named (first choices: EcoOnline ESG, Sweep) (alternatives: Coolset, Normative, Novisto, Plan A)
- Claude Haiku 4.5: neither named (first choices: EcoOnline ESG) (alternatives: Greenstone, Normative, Sphera, Sweep)
- GPT-5.4 mini: neither named (first choices: Workiva) (alternatives: IBM Envizi, Novisto, Sphera)
- Llama 4 Maverick: neither named (first choices: EcoOnline ESG, Novisto, Sweep)
- Qwen 3.7 Flash: neither named (first choices: Novisto) (alternatives: Gravity, LogicGate, Sweep)

## What the models said about Greenly

- "Examples of this category: Generic SaaS carbon footprints (e.g., early versions of Greenly, Normative, or basic carbon calculators). ... Why to be cautious" (Qwen 3.7 Flash, negative prompt, soft negative)
- "users have flagged data accuracy issues" (GLM 4.7 FlashX, negative prompt, soft negative)
- "Greenly is an intuitive, all-in-one sustainability platform designed to make carbon accounting simple and accessible, particularly for small-to-medium-sized businesses (SMBs) and mid-market companies." (Claude Haiku 4.5, paraphrase prompt, first choice)
- "I'd usually recommend Greenly if you want the best balance of usability, automated carbon accounting, and fit for a mid-market team" (GPT-5.4 mini, paraphrase prompt, first choice)
- "Greenly shines here because it is built around accessible carbon accounting, has a fast deployment time" (Gemini 3.5 Flash, direct prompt, first choice)

## What the models said about Coolset

- "Coolset is frequently cited as the "go-to" for mid-market companies... Choose Coolset if you are in Europe and need strict regulatory compliance (CSRD)" (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "Prioritize platforms suited for 500–5,000 employees, like Coolset, ESG:ONE, EcoOnline, or Novisto... Shortlist 3–5: Coolset (multi-framework, AI)" (Grok 4.1 Fast, scale prompt, first choice)
- "Sweep / Coolset / Plan A / ESG:ONE: These are specifically built for upper-mid-market companies." (Gemini 3.5 Flash, scale prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.