One of fourteen models named Persefoni first on the direct prompt; one named Workiva ESG. Persefoni was named by thirteen of the fourteen models and Workiva ESG by fourteen and Persefoni carries 30 labels and Workiva ESG 45, 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.
Across every category in the November 2026 Edition, Persefoni and Workiva ESG were named in the same answer forty-nine times, of the 90 answers naming Persefoni and the 140 naming Workiva ESG. In those answers Workiva ESG took the first choice twenty-one times and Persefoni eleven.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | WE | WE | WE | |||
| Gemini 3.5 Flash | WE | WE | WE | |||
| Perplexity Sonar | WE | WE | ||||
| Grok 4.20 | WE | WE | WE | WE | ||
| Mistral Small | WE | WE | WE | |||
| DeepSeek V4 Flash | WE | WE | WE | WE | ||
| Llama 4 Maverick | WE | |||||
| Qwen 3.7 Flash | WE | |||||
| Kimi K2 | WE | |||||
| GLM 4.7 FlashX | WE | |||||
| MiniMax M2.5 | WE | |||||
| GPT-6 Luna | WE | |||||
| Muse Glimmer 30B | WE | WE |
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.
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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid (When on a Tight Budget) - Workiva, Sphera, IBM Envizi – Enterprise-grade platforms with heavy implementation costs” DeepSeek V4 Flash · budget prompt · hard negative
“it is recommended to avoid Workiva if you are a smaller ESG team, have a tight budget, or prioritize carbon-first reporting” Mistral Small · negative prompt · hard negative
“Avoid jumping to larger enterprise tools like Workiva unless you already know you need advanced controls” GPT-5.4 mini · budget prompt · hard negative
“If your priority is board-ready, auditable ESG reporting with strong controls, Workiva and IBM Envizi tend to stand out.” GPT-5.4 mini · comparative prompt · first choice
“Choose Workiva when the priority is controlled, auditable ESG disclosure tied to finance, legal, and investor reporting.” Perplexity Sonar · comparative prompt · first choice
“Leading platform for governed, audit-ready ESG disclosures, especially for large organizations with complex reporting needs.” Mistral Small · comparative 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.