ESG and carbon reporting for enterprise buyers
Asked as “ESG reporting software”, and as “carbon accounting platform”, on behalf of an enterprise B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
37%
Contested · Watershed 33%
37Workiva33Watershed06IBM Envizi24others
37% of first choices, contested.
Since September 2026=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Workiva held the lead, ±0 points on 38%, inside the 10-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Greenly48%Clear leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketGreenly36%Contested↗new leaderNew leader since September 2026: Greenly (33%) replaces Sweep (25% then, 10% now), 24 points clear, past the 10-point floor.Standing →Enterprise
Workiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This page
Greenly48%Clear leader▲+9Since September 2026: 41% → 50%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketGreenly36%Contested↗new leaderNew leader since September 2026: Greenly (33%) replaces Sweep (25% then, 10% now), 24 points clear, past the 10-point floor.Standing →EnterpriseWorkiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Workiva37%13%46endorsed leader=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.38% → 38%
Workiva37%13%46endorsed leader=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.38% → 38%02
Watershed33%9%35endorsed leader▲+13Since September 2026: 20% → 33%, +13 points. Past the 10-point floor: movement. Read over the models both editions asked.20% → 33%
Watershed33%9%35endorsed leader▲+13Since September 2026: 20% → 33%, +13 points. Past the 10-point floor: movement. Read over the models both editions asked.20% → 33%03
IBM Envizi6%12%42accepted challenger▼−3Since September 2026: 10% → 7%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 7%
IBM Envizi6%12%42accepted challenger▼−3Since September 2026: 10% → 7%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 7%04
Persefoni6%4%28accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 7%
Persefoni6%4%28accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 7%05
Sweep2%10%20accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%
Sweep2%10%20accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 2%06
Novisto2%6%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Novisto2%6%18accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%07
SAP Sustainability Control Tower2%30%20criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
SAP Sustainability Control Tower2%30%20criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
11
Salesforce Net Zero Cloud0%42%12criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%
Salesforce Net Zero Cloud0%42%12criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 0%10
Diligent ESG0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Diligent ESG0%18%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%09
Microsoft Cloud for Sustainability0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Microsoft Cloud for Sustainability0%15%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%08
Sphera0%6%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Sphera0%6%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Greenly vs WatershedGreenly vs NovistoGreenly vs Plan AGreenly vs WorkivaSweep vs CoolsetSweep vs PersefoniSweep vs WatershedSweep vs NovistoSweep vs Plan ASweep vs WorkivaCoolset vs PersefoniCoolset vs WatershedCoolset vs NovistoCoolset vs Plan ACoolset vs WorkivaPersefoni vs WatershedPersefoni vs NovistoPersefoni vs Plan APersefoni vs WorkivaWatershed vs NovistoWatershed vs Plan AWatershed vs WorkivaNovisto vs Plan ANovisto vs WorkivaPlan A vs Workiva
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Workiva37%
Workiva37%02Watershed33%
Watershed33%03IBM Envizi6%
IBM Envizi6%04Persefoni6%
Persefoni6%05Sweep2%
Sweep2%06Novisto2%
Novisto2%07SAP Sustainability Control Tower2%
SAP Sustainability Control Tower2%08Sphera0%
Sphera0%09Microsoft Cloud for Sustainability0%
Microsoft Cloud for Sustainability0%10Diligent ESG0%
Diligent ESG0%11Salesforce Net Zero Cloud0%
Salesforce Net Zero Cloud0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. 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 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Workiva13%
6 of 46 labels negative · 6 of 14 models · 1 hard negative
“**Avoid If**: Smaller ESG teams or carbon-first priorities; budget-sensitive without finance-led reporting.” Grok 4.1 Fast, negative prompt
SAP Sustainability Control Tower30%
6 of 20 labels negative · 5 of 14 models · 1 hard negative
“Per-user kills predictability at scale” Grok 4.1 Fast, budget prompt
IBM Envizi12%
5 of 42 labels negative · 4 of 14 models
“Several platforms, like IBM Envizi, receive feedback about being powerful but complex to configure—requiring extensive setup phases and expert assistance.” MiniMax M2.5, negative prompt
Salesforce Net Zero Cloud42%
5 of 12 labels negative · 3 of 14 models · 3 hard negative
“What to Avoid for Your Specific Needs ... the seat-license math can become incredibly expensive and complex.” Gemini 3.5 Flash, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
82 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1215 links across 309 sites, every framing counted. Ranked by the number of answers carrying the site or page. 3 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
34 answers · 39 citations · 10 models
vendor site · Guideflow33 answers · 40 citations · 11 models
29 answers · 33 citations · 11 models
vendor site · Pulsora28 answers · 30 citations · 12 models
vendor site · Coolset26 answers · 26 citations · 11 models
vendor site · G224 answers · 32 citations · 10 models
vendor site · KEY ESG22 answers · 25 citations · 11 models
22 answers · 22 citations · 10 models
vendor site · Sweep21 answers · 27 citations · 10 models
vendor site · Emission Twin20 answers · 20 citations · 11 models
vendor site · Watershed18 answers · 24 citations · 10 models
17 answers · 25 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
32 answers · 11 models
26 answers · 11 models
24 answers · 10 models
21 answers · 11 models
20 answers · 11 models
16 answers · 7 models
14 answers · 7 models
13 answers · 8 models
12 answers · 7 models
12 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best esg reporting software”, “esg reporting platforms”, “esg reporting software”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Workiva workiva.com | 37% | 596 | 22,200 | 524 | 58,186 | $23 | 64 | 1 |
| Watershed watershed.com | 33% | 82 | 110,000 | 6,800 | 10,897 | $111 | 17 | |
| IBM parent site IBM Envizi 6% | 6% | 73 | 201,000 | 34,098 | ||||
| Persefoni persefoni.com | 6% | 78 | 1,300 | 23 | 8,274 | $3 | 26 | 7 |
| CarbonTool carbontool.com | 4% | 6 | ||||||
| Sweep sweep.net | 2% | 63 | 33,100 | 41,121 | 7,225 | 5 | ||
| Novisto novisto.com | 2% | 37 | 320 | 4 | 862 | 3 | ||
| SAP Sustainability Control Tower sap.com | 2% | 30 | 140 | 1 | 2,214,514 | $1,251 | 23 | 3 |
| Cority cority.com | 2% | 6 | ||||||
| APLANET aplanet.org | 2% | 5 | 880 | 0 | 4,481 |
Google's top ten for the three searches hold 20 sites; 2 of them are among the sites the models cited here (gartner.com, keyesg.com). The first result for “best esg reporting software” is workiva.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best ESG reporting software for an enterprise B2B company?”Paraphrase“Which carbon accounting platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade ESG reporting platforms and how do they differ?”Budget-constrained“What is the best ESG reporting software for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a ESG reporting software. What should we look at?”Negative“Which ESG reporting platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5WorkivaWatershedChangedWorkivaAPLANET, Intelexno first choiceagainst: Workday, Workiva
Two alternatives
IBM Envizi, SpheraFour alternatives
IBM Envizi, Normative, Persefoni, SweepFour alternatives
IBM Envizi, Persefoni, Sweep, WatershedTwo alternatives
IBM Envizi, WorkivaGPT-5.4 miniWatershed, WorkivaWatershedChangedno first choicePersefonino first choicenothing named
Three alternatives
Workiva, carbmee EIS, osapiensOne alternative
FactlinesGemini 3.5 FlashWatershed, WorkivaWatershedChangedWorkivaIBM Envizi, Workivaagainst: Salesforce Net Zero Cloudno first choiceagainst: IBM Envizi, Salesforce Net Zero Cloud, Watershed
Four alternatives
IBM Envizi, Pulsora, Salesforce Net Zero Cloud, SweepFour alternatives
Microsoft Cloud for Sustainability, Persefoni, SAP Sustainability Control Tower, SweepSix alternatives
IBM Envizi, Persefoni, Salesforce Net Zero Cloud, Sweep, Watershed, Wolters KluwerTwo alternatives
Diligent ESG, EnvoriaPerplexity SonarWorkivaWatershedChangedno first choiceWorkivano first choicenothing named
One alternative
IBM EnviziFour alternatives
Normative, SAP Sustainability Footprint Management, Sphera, Workiva CarbonOne alternative
SAP Sustainability Control TowerGrok 4.1 FastWatershed, WorkivaWatershedChangedWorkivaWorkivaagainst: Diligent ESG, Horizon ESG, IBM Envizi, SAP Sustainability Control Tower, Salesforce Net Zero Cloud, ServiceNow ESG, SpheraWorkivaagainst: IBM Envizi, Microsoft Cloud for Sustainability, SAP Sustainability Control Tower, Salesforce Net Zero Cloud, Watershed, Workiva
Four alternatives
Enablon, IBM Envizi, SINAI, SweepSix alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Normative, Persefoni, Plan A, SweepSeven alternatives
CCH Tagetik, Diligent ESG, IBM Envizi, Microsoft Cloud for Sustainability, Novisto, Position Green, SpheraCloud Corporate SustainabilityOne alternative
CarbonToolThree alternatives
Novisto, SpheraCloud, WatershedMistral SmallSweep, WorkivaWatershedChangedWorkivaIBM Enviziagainst: SAP Sustainability Control Tower, Workivano first choiceagainst: LSEG/Refinitiv, MSCI, Morningstar Sustainalytics, S&P Global
Three alternatives
Breathe Zero, Diligent ESG, OpteraOne alternative
PulsoraThree alternatives
Benchmark Gensuite, SINAI Technologies, SpheraCloud Corporate SustainabilityDeepSeek V4 FlashWorkivaWatershedChangedagainst: SweepWorkivaWorkivano first choiceagainst: Cority, EcoVadis, Enablon, Greenly, Normative, Persefoni, Salesforce Net Zero Cloud, Sweep, VelocityEHS, Watershed, Workiva
Seven alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Normative, Persefoni, SAP Sustainability Control Tower, Sweep, WatershedOne alternative
PersefoniSeven alternatives
Diligent ESG, IBM Envizi, Persefoni, Salesforce Net Zero Cloud, Sphera, Sweep, WatershedThree alternatives
Persefoni, Salesforce Net Zero Cloud, SpheraLlama 4 Maverickno first choicePersefoniChangedno first choiceno first choiceno first choicenothing named
Five alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Plan A, Sweep, WatershedQwen 3.7 FlashWorkivaWatershedChangedWorkivaagainst: Microsoft Power PlatformSAP Sustainability Control Towerno first choiceagainst: Infor, Oracle, SAP Sustainability Control Tower
Four alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Novisto, SweepThree alternatives
EcoAct, Persefoni, SpheraFour alternatives
EcoVadis, Greenly, Persefoni, SpheraCloud Corporate SustainabilityThree alternatives
IBM Envizi, SmartSuite, WorkivaKimi K2WorkivaWatershedChangedWorkivaWorkivaagainst: SAP Sustainability Control Towerno first choiceagainst: Diligent ESG, IBM Envizi, Workiva
Two alternatives
Persefoni, SpheraOne alternative
PersefoniEight alternatives
Cority, Enablon, IBM Envizi, MSCI ESG Manager, Persefoni, Sphera, Sustainalytics, WatershedOne alternative
IBM EnviziGLM 4.7 FlashXWorkivaagainst: CoolsetCarbonTool, WatershedChangedWorkivaWatershedno first choiceagainst: Fitch, Moody's, S&P Global
Four alternatives
Emission Twin, IBM Envizi, Novisto, SAP Sustainability Control TowerTwo alternatives
IBM Envizi, Microsoft Cloud for SustainabilityFour alternatives
Enablon, IBM Envizi, Novisto, SpheraTwo alternatives
IBM Envizi, WorkivaMiniMax M2.5IBM EnviziPersefoniChangedWorkivaCarbonToolagainst: SAP Sustainability Control Tower, Workivano first choiceagainst: IBM Envizi
Four alternatives
CCH Tagetik ESG & Sustainability Performance Management, Credibl, Diligent ESG, NovistoThree alternatives
IBM Envanzi, Watershed, carbmeeFive alternatives
Cority, IBM Envizi, Persefoni, Sphera, WatershedThree alternatives
Generation Impact Global, IBM Envizi, WatershedGPT-6 LunaWorkivaWatershedChangedno first choiceCorityno first choiceagainst: Continia Sustainability, Microsoft Cloud for Sustainability
Three alternatives
Novisto, SAP Sustainability Control Tower, WatershedTwo alternatives
IBM Envizi, PersefoniEight alternatives
Enablon, IBM Envizi, Persefoni, SAP Sustainability Control Tower, Sphera, Sweep, Watershed, WorkivaTwo alternatives
IBM Envizi, Obi ESGMuse Glimmer 30BNovisto, WorkivaWatershedChangedWorkiva Wdesk ESG / Workiva ESGSmartSuite ESG Managementno first choiceagainst: Bloomberg, ISS, MSCI, Novisto, S&P, Sustainalytics, Thomson Reuters
Two alternatives
IBM Envizi, Microsoft Cloud for SustainabilityThree alternatives
Persefoni, SAP Sustainability Control Tower, SAP Sustainability Footprint ManagementFour alternatives
Enablon, IBM Envizi, Novisto, SpheraCloud Corporate SustainabilityOne alternative
Horizon ESGBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:52 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:49 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:21 | yes | 20 | 27 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 17 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:43 | yes | 24 | 6 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:13 | yes | 11 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:02 | yes | 24 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:22 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:54 | yes | 15 | 59 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:18 | yes | 14 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:02 | yes | 25 | 43 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:27 | yes | 9 | 22 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:59 | yes | 3 | 19 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:47 | yes | 11 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:07 | yes | 17 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:51 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:58 | yes | 5 | 16 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:46 | yes | 15 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:33 | yes | 22 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:53 | yes | 5 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:17 | yes | 24 | 29 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:57 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:24 | yes | 10 | 20 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:11 | yes | 15 | 30 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:43 | yes | 13 | 30 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:49 | yes | 14 | 28 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:00 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:28 | yes | 14 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 16 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:42 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:47 | yes | 30 | 35 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 08:39 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:37 | yes | 23 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:11 | yes | 19 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:01 | yes | 25 | 35 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:13 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:14 | yes | 5 | 20 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:41 | yes | 25 | 42 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:06 | yes | 25 | 48 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:52 | yes | 20 | 29 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:15 | yes | 9 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:41 | yes | 20 | 45 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:19 | yes | 16 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:35 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:36 | yes | 27 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:37 | yes | 16 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:15 | yes | 22 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:58 | yes | 22 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:31 | yes | 23 | 42 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:45 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:33 | yes | 9 | 55 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:32 | yes | 23 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:43 | yes | 21 | 46 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:50 | yes | 20 | 46 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:12 | yes | 3 | 20 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:31 | yes | 21 | 45 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 27 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:28 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:57 | yes | 5 | 34 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:40 | yes | 20 | 10 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:54 | yes | 18 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:02 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:48 | yes | 23 | 70 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:36 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:09 | yes | 10 | 47 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:00 | yes | 15 | 45 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:13 | yes | 12 | 77 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:42 | yes | 9 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:33 | yes | 3 | 27 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:59 | yes | 14 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:21 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:29 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:30 | yes | 20 | 31 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:23 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:15 | yes | 23 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:07 | yes | 10 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:06 | yes | 22 | 49 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:11 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:17 | yes | 10 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:37 | yes | 23 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:02 | yes | 25 | 90 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:39 | yes | 14 | 34 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:22 | yes | 3 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:12 | yes | 22 | 24 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Diligent read as Diligent ESG
Microsoft Sustainability Manager read as Microsoft Cloud for Sustainability
SAP read as SAP Sustainability Control Tower
SpheraCloud Sustainability read as SpheraCloud Corporate Sustainability
SpheraCloud Sustainability (Sphera) read as SpheraCloud Corporate Sustainability
Unresolved, counted raw
Breathe Zero
CCH Tagetik ESG & Sustainability Performance Management (Wolters Kluwer)
Continia Sustainability
Credibl
Diligent Modern ESG / Diligent One
EcoAct (now part of ADECO)
Factlines
Greenview Portal
IBM Envanzi
KarbonWise
LSEG/Refinitiv
Locus ESG
MSCI ESG Manager
MSCI Sustainability Solutions
Microsoft Power Platform (with ESG-specific connectors)
Obi ESG
Optera
Riskonnect’s ESG Software
S&P
SAP Sustainability
SINAI
ServiceNow ESG
SmartSuite ESG Management
SmartSuite ESG Reporting Platform
SpheraCloud
Sustain.Li
VelocityEHS
Workiva Wdesk ESG / Workiva ESG
carbmee EIS
neoeco
osapiens
Discontinued, still offered
No shut-down product was recommended here.