Sweep vs Persefoni
Six of fourteen models named Sweep first on the direct prompt; zero named Persefoni. Sweep was named by twelve of the fourteen models and Persefoni by fourteen and Sweep carries 23 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
SweepFirst choices, of fourteen modelsPersefoni
Across every category in the October 2026 Edition, Sweep and Persefoni were named in the same answer thirty-four times, of the 64 answers naming Sweep and the 79 naming Persefoni. In those answers Persefoni took the first choice four times and Sweep one.
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 | | | ||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | |
Sweep Persefoni first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sweep on the left and Persefoni on the right.The direct prompt
Sweep first, Persefoni not the choice
6 of 14 modelsPersefoni 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
3 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
Sweep10%#2 of 13Persefoni5%#4 of 13Persefoni6%#4 of 11Sweep2%#5 of 11What 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.
“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 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.
“good for complex organizations, but may be overkill for mid-sized” GLM 4.7 FlashX · paraphrase 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
“Start for free with carbon + basic reporting: Persefoni Pro.” Muse Glimmer 30B · budget prompt · first choice
“Best overall for a mid-sized B2B company: Persefoni” GPT-5.4 mini · paraphrase 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.