Greenly vs Sweep
Two of fourteen models named Greenly first on the direct prompt; two named Sweep. Both were named by all fourteen models and Greenly carries 37 labels and Sweep 35, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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
GreenlyFirst choices, of fourteen modelsSweep
Across every category in the November 2026 Edition, Greenly and Sweep were named in the same answer forty-three times, of the 96 answers naming Greenly and the 76 naming Sweep. In those answers Sweep took the first choice seven times and Greenly thirteen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| 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 Sweep first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenly on the left and Sweep on the right.The direct prompt
Greenly first, Sweep an alternative
2 of 14 modelsSweep was named in the answer but not as the choice, or not at all.Sweep first, Greenly an alternative
2 of 14 modelsGreenly was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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
Greenly33%#1 of 17Sweep4%#5 of 17Sweep4%#5 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. Three of four in this category shown.
“Greenly has emerged as the breakout carbon accounting platform for SMEs and mid-market businesses” Claude Haiku 4.5 · paraphrase prompt · first choice
“start with Greenly or Horizon ESG for their low monthly costs and essential features” Mistral Small · budget prompt · first choice
“the most recommended carbon accounting platforms are Greenly and Coolset” Mistral Small · paraphrase prompt · first choice
What the models said about Sweep
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“~$15,000/year, good for corporate decarbonization and CSRD compliance” GLM 4.7 FlashX · budget prompt · soft negative
“Start by requesting demos from Watershed and Sweep. These two cover the vast majority of mid-sized B2B needs” Qwen 3.7 Flash · paraphrase prompt · first choice
“Often the best fit for 500 employees): *Examples:* Watershed, Sweep, Position Green, Novata, Persefoni, Greenly.” Gemini 3.5 Flash · scale prompt · first choice
“My default pick: Sweep—if you want one platform for emissions, broader ESG disclosures, and value-chain data.” GPT-6 Luna · direct prompt · first choice
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.