# Sweep vs Watershed: which do AI models recommend for ESG and carbon reporting, October 2026

Finance AI Recommendation Index, October 2026 Edition, ESG and carbon reporting. Six of fourteen models named Sweep first on the direct prompt; one named Watershed. Page: https://finance-ai-index.com/corporate/esg-and-carbon-reporting/sweep-vs-watershed/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Sweep | 10% | #2 of 13 | 4% | 23 | 12 of 14 |
| Watershed | 3% | #5 of 13 | 23% | 30 | 14 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: sweep first (first choices: Greenly, Sweep) (alternatives: Horizon ESG, cubemos)
- Mistral Small: sweep first (first choices: Sweep) (alternatives: EcoOnline ESG, Novata)
- DeepSeek V4 Flash: sweep first (first choices: Sweep) (alternatives: Coolset, Greenly, Novisto)
- Llama 4 Maverick: sweep first (first choices: Sweep) (alternatives: EcoOnline ESG, Novata)
- MiniMax M2.5: sweep first (first choices: Plan A, Sweep) (alternatives: EcoOnline ESG, Novata)
- Muse Glimmer 30B: sweep first (first choices: Novisto, Sweep) (alternatives: Coolset, Novata)
- Qwen 3.7 Flash: watershed first (first choices: Watershed) (alternatives: Carbon Cloud, Enablon, Persefoni, PlanA, Sphera)
- Claude Haiku 4.5: neither first, one named (first choices: EcoOnline ESG) (alternatives: Coolset, Novata, Sweep)
- Gemini 3.5 Flash: neither first, one named (first choices: Coolset, Greenly) (alternatives: Gravity, KEY ESG, Novata, Sweep)
- Perplexity Sonar: neither first, one named (first choices: Greenly) (alternatives: EcoOnline ESG, Novata, Novisto, Sweep)
- GPT-5.4 mini: neither named (first choices: Workiva) (alternatives: Credibl ESG, IBM Envizi, Microsoft Cloud for Sustainability)
- Kimi K2: neither named (first choices: Novata, Position Green) (alternatives: Greenly, Novisto, Workiva)
- GLM 4.7 FlashX: neither named (first choices: Workiva) (alternatives: Greenly, Measurabl, Novisto, Persefoni, Position Green)
- GPT-6 Luna: neither named (first choices: Greenly) (alternatives: Novisto, Workiva)

## What the models said about Sweep

- "up to enterprise quotes for Sweep, IBM Envizi, and Workiva" (Muse Glimmer 30B, budget prompt, soft negative)
- "Sweep is frequently highlighted as the best ESG reporting software for mid-market B2B companies" (Mistral Small, direct prompt, first choice)
- "Sweep or Greenly edge out for pure mid-market B2B value based on these sources." (Grok 4.1 Fast, direct prompt, first choice)
- "Sweep — Best for mid-market companies building a carbon management programme" (Muse Glimmer 30B, direct prompt, first choice)

## What the models said about Watershed

- "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)

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. 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.
