Greenly vs Persefoni
Two of fourteen models named Greenly first on the direct prompt; one named Persefoni. Greenly was named by fourteen of the fourteen models and Persefoni by thirteen and Greenly carries 37 labels and Persefoni 30, 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 modelsPersefoni
Across every category in the November 2026 Edition, Greenly and Persefoni were named in the same answer forty-five times, of the 96 answers naming Greenly and the 90 naming Persefoni. In those answers Persefoni took the first choice eleven 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 Persefoni first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenly on the left and Persefoni on the right.The direct prompt
Greenly first, Persefoni not the choice
2 of 14 modelsPersefoni was named in the answer but not as the choice, or not at all.Persefoni first, Greenly not the choice
1 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
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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 17Persefoni18%#2 of 17Persefoni6%#4 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 Persefoni
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“technically rigorous but are generally framed for enterprises & financial institutions with complex regulatory needs and pricing/complexity” Muse Glimmer 30B · paraphrase prompt · soft negative
“The paid tier jumps to ~$55k/year, which is unrealistic for most small companies.” DeepSeek V4 Flash · budget prompt · soft negative
“far more accessible than enterprise platforms like Persefoni ($50K–$200K)” DeepSeek V4 Flash · paraphrase prompt · soft negative
“It is widely considered the most accessible platform for companies that don't have a large sustainability team.” Qwen 3.7 Flash · direct prompt · first choice
“Best budget pick: Persefoni Pro—if your main need is carbon accounting and climate reporting.” GPT-6 Luna · budget prompt · first choice
“The best ESG reporting software for a company with a limited budget is Persefoni, which is free.” Llama 4 Maverick · budget 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.