Index › Finance › Equity and corporate › ESG and carbon reporting › Persefoni vs Watershed
ESG and carbon reporting · November 2026 Edition

Persefoni vs Watershed

One of fourteen models named Persefoni first on the direct prompt; zero named Watershed. Persefoni was named by thirteen of the fourteen models and Watershed by eleven and Persefoni carries 30 labels and Watershed 24, so the shares are not directly comparable.

Persefoni

accepted challenger

Named in one category this edition.

Watershed

accepted challenger

Named in one category this edition.

First-choice share17%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 13; printed, not drawn.
Labels3024A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Persefoni reading right to left. Rank and label count are printed, not drawn.Sweep was named alongside these two in nine of the fourteen direct answers. Greenly vs Persefoni · Greenly vs Watershed · Persefoni vs Sweep

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PersefoniFirst choices, of fourteen modelsWatershed
Direct10
Paraphrase122 against Persefoni · 3 against Watershed
Comparative01
Budget-constrained701 against Persefoni
Scale-constrained011 against Watershed
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Persefoni and Watershed were named in the same answer fifty-five times, of the 90 answers naming Persefoni and the 78 naming Watershed. In those answers Watershed took the first choice thirteen times and Persefoni five.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Persefoni and Watershed stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Persefoni Watershed first choice named as an alternative argued againstblank: not namedEach cell is one answer, Persefoni on the left and Watershed on the right.

The direct prompt

The plain question, one answer per model, grouped by where Persefoni and Watershed stood in it.

Persefoni first, Watershed an alternative

1 of 14 modelsWatershed was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashNovisto, Persefoni alternatives: ESG:ONE, Sweep, Watershed

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashGreenly alternatives: Gravity, KEY ESG, Novata, Sweep, Watershed
Grok 4.20Sweep alternatives: Novisto, Persefoni

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5EcoOnline ESG alternatives: Diligent ESG, Novisto, Sweep
GPT-5.4 miniWorkiva ESG alternatives: FigBytes, Horizon ESG, KEY ESG, Metrio
Perplexity SonarNovata alternatives: Coolset, Greenly, Novisto, Sweep
Mistral SmallEmerald Power, Horizon ESG alternatives: Metrio, Position Green
DeepSeek V4 FlashGreenly, cubemos alternatives: Emerald Power, Horizon ESG, Sweep
Llama 4 Maverickno first choice
Kimi K2ESG:ONE alternatives: Diligent ESG, EcoOnline ESG, Greenly
GLM 4.7 FlashXEmerald Power alternatives: Atlas Metrics, Greenly, Normative, Novato, Sweep
MiniMax M2.5Novisto, Precoro ESG alternatives: IBM Envizi, Workiva ESG
GPT-6 LunaSweep alternatives: Greenly, Workiva ESG
Muse Glimmer 30BEmerald Power alternatives: Coolset, ESG:ONE, Envoria, Normative, Sweep, cubemos

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Persefoni leads by eighteen points.
Persefoni18%#2 of 17
Watershed0%#15 of 17
The full small business standing →
Mid-marketThe figures above
Persefoni leads by eleven points.
Persefoni17%#2 of 13
Watershed6%#4 of 13
The full mid-market standing →
Enterprise
The order flips: Watershed leads at enterprise.
Watershed31%#2 of 11
Persefoni6%#4 of 11
The full enterprise standing →

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

What the models said about Watershed

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight 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
“Watershed, Workiva are powerful but priced for bigger organizations” DeepSeek V4 Flash · scale prompt · soft negative
“Most advanced AI and benchmarking (enterprise-grade but pricey)” Kimi K2 · paraphrase prompt · soft negative
“Mid-Market / Agile ESG & Carbon Platforms (Often the best fit for 500 employees): *Examples:* Watershed, Sweep, Position Green, Novata, Persefoni, Greenly.” Gemini 3.5 Flash · scale prompt · first choice
“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
“Best for: Enterprise climate and carbon accounting (Scope 1, 2, 3) with a focus on decarbonization action” DeepSeek V4 Flash · comparative prompt · first choice
Also compared

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.