Finance AI Index
Index Equity and corporate ESG and carbon reporting › Sweep vs Workiva
ESG and carbon reporting · September 2026 Edition

Sweep vs Workiva

Six of twelve models named Sweep first on the direct prompt; one named Workiva. Sweep was named by eleven of the twelve models and Workiva by twelve and Sweep carries 37 labels and Workiva 35, so the shares are not directly comparable.

Sweep

accepted challenger

Named in one category this edition.

Workiva

criticized challenger

Named in fourteen categories this edition.

First-choice share25%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 15; printed, not drawn.
Labels3735A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sweep reading right to left. Rank and label count are printed, not drawn.Novisto was named alongside these two in eight of the twelve direct answers. Sweep vs Greenly · Sweep vs Novisto · Sweep vs Plan A

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

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SweepFirst choices, of twelve modelsWorkiva
Direct612 against Workiva
Paraphrase50
Comparative06
Budget-constrained105 against Workiva
Scale-constrained112 against Workiva
Negative021 against Sweep · 1 against Workiva
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

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

The direct prompt

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

Sweep first, Workiva not the choice

6 of 12 modelsWorkiva was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGreenly, Sweep alternatives: Coolset, Novata
Grok 4.1 FastSweep alternatives: Coolset, Novisto
Mistral SmallSweep alternatives: Coolset, EcoOnline ESG
DeepSeek V4 FlashSweep alternatives: Coolset, Greenly, Plan A, Tanso
Llama 4 MaverickEcoOnline ESG, Novisto, Sweep
MiniMax M2.5EcoOnline ESG, Sweep alternatives: Coolset, Normative, Novisto, Plan A

Workiva first, Sweep not the choice

1 of 12 modelsSweep was named in the answer but not as the choice, or not at all.
GPT-5.4 miniWorkiva alternatives: IBM Envizi, Novisto, Sphera

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5EcoOnline ESG alternatives: Greenstone, Normative, Sphera, Sweep
Perplexity SonarNovisto alternatives: EcoOnline ESG, Greenly, Novata, Sweep
Qwen 3.7 FlashNovisto alternatives: Gravity, LogicGate, Sweep
Kimi K2Novisto alternatives: Coolset, Sustain.Life, Sweep, Workiva
GLM 4.7 FlashXNovisto alternatives: EcoOnline ESG, Greenly, Sustain.Life, Sweep

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
Level: the same share of first choices.
Sweep0%#8 of 13
Workiva0%#13 of 13
The full small business standing →
Mid-marketThe figures above
Sweep leads by twenty-one points.
Sweep25%#1 of 15
Workiva4%#8 of 15
The full mid-market standing →
Enterprise
The order flips: Workiva leads at enterprise.
Workiva38%#1 of 12
Sweep6%#4 of 12
The full enterprise standing →

What 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.

“some unproven mid-market carbon tools like Sweep, Plan A... lack robust data governance” Grok 4.1 Fast · negative prompt · soft negative
“For most mid-market B2B companies, Sweep offers the strongest balance of supply chain support, framework coverage, and mid-market-appropriate pricing.” DeepSeek V4 Flash · direct prompt · first choice
“Sweep or Plan A are excellent choices... If you are in Europe and require CSRD alignment, Sweep is highly recommended.” Mistral Small · paraphrase prompt · first choice
“Sweep and EcoOnline appear to be the most consistently recommended options tailored to your size and needs” MiniMax M2.5 · direct prompt · first choice

What the models said about Workiva

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“| Workiva | $50K–$150K+ (likely overkill) | Skip unless you need integrated financial + ESG reporting |” DeepSeek V4 Flash · scale prompt · hard negative
“Platforms like Workiva excel here because they allow you to import messy Excel sheets, clean the data within the software using "source codes," and publish to a final PDF, keeping an audit trail.” Qwen 3.7 Flash · scale prompt · first choice
“If you're a mid-market B2B company and want one default pick: - Choose Workiva if ESG reporting is tightly connected to finance, board reporting, or audit/compliance.” GPT-5.4 mini · direct prompt · first choice
“Choose Workiva if: You need to produce high-stakes regulatory filings (SEC/CSRD) and need rigorous control over who sees and edits data.” Qwen 3.7 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.