Greenly vs Persefoni
One of twelve models named Greenly first on the direct prompt; zero named Persefoni. Both were named by all twelve models and Greenly carries 26 labels and Persefoni 28, 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 twelve 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 twelve modelsPersefoni
Across every category in the September 2026 Edition, Greenly and Persefoni were named in the same answer twenty-five times, of the 78 answers naming Greenly and the 75 naming Persefoni. In those answers Persefoni took the first choice four times and Greenly seven.
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 4.1 Fast | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | |
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
1 of 12 modelsPersefoni was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 12 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
Greenly41%#1 of 13Persefoni9%#4 of 13Persefoni4%#5 of 12Greenly0%#– of 12What 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.
“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 Persefoni
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Enterprise-grade platforms (like *Workiva*, *IBM Envizi*, or *Persefoni*) are usually overkill” Gemini 3.5 Flash · scale prompt · soft negative
“I'd choose Persefoni because it has a free single-user tier and is repeatedly positioned as the cheapest starting point” Perplexity Sonar · budget prompt · first choice
“### 1. Persefoni Pro (Free) ... Start with Persefoni's free tier” MiniMax M2.5 · budget prompt · first choice
“Top Recommendation: Persefoni ... robust free tier” Qwen 3.7 Flash · 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.