Index › Finance › Equity and corporate › ESG and carbon reporting › Enterprise · November 2026 Edition
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
39%
Contested · Watershed 31%
39Workiva ESG31Watershed06APLANET24others
39% of first choices, contested.
Since October 2026▲+2Since October 2026: 37% → 39%, +2 points. Inside the 10-point floor: within noise.Workiva ESG held the lead, +2 points on 37%, 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
Greenly33%Contested▼−15Since October 2026: 48% → 33%, −15 points. Past the 10-point floor: movement.Standing →Mid-marketGreenly24%Contested▼−12Since October 2026: 36% → 24%, −12 points. Past the 10-point floor: movement.Standing →EnterpriseWorkiva ESG39%Contested▲+2Since October 2026: 37% → 39%, +2 points. Inside the 10-point floor: within noise.This page
Greenly33%Contested▼−15Since October 2026: 48% → 33%, −15 points. Past the 10-point floor: movement.Standing →Mid-marketGreenly24%Contested▼−12Since October 2026: 36% → 24%, −12 points. Past the 10-point floor: movement.Standing →EnterpriseWorkiva ESG39%Contested▲+2Since October 2026: 37% → 39%, +2 points. Inside the 10-point floor: within noise.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 October 2026
01Workiva ESG39%13%52endorsed leader▲+2Since October 2026: 37% → 39%, +2 points. Inside the 10-point floor: within noise.37% → 39%
02
Watershed31%17%42endorsed leader▼−2Since October 2026: 33% → 31%, −2 points. Inside the 10-point floor: within noise.33% → 31%
Watershed31%17%42endorsed leader▼−2Since October 2026: 33% → 31%, −2 points. Inside the 10-point floor: within noise.33% → 31%03
IBM Envizi6%12%50accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%
IBM Envizi6%12%50accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%04
Persefoni6%18%33accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%
Persefoni6%18%33accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 10-point floor: within noise.6% → 6%05
Sweep4%4%23accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%
Sweep4%4%23accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 10-point floor: within noise.2% → 4%06
Novisto2%9%22accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%
Novisto2%9%22accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise.2% → 2%Show the five products at 0%, ordered by negative rate
08
SAP Sustainability Control Tower0%21%28accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%
SAP Sustainability Control Tower0%21%28accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 10-point floor: within noise.2% → 0%11
Position Green0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Position Green0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%09
SpheraCloud Corporate Sustainability0%10%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
SpheraCloud Corporate Sustainability0%10%21accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%07
Diligent ESG0%5%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Diligent ESG0%5%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%10
Salesforce Net Zero Cloud0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.0% → 0%
Salesforce Net Zero Cloud0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-one head-to-head pages: the top seven products, each against each
Greenly vs NovistoGreenly vs CoolsetGreenly vs Workiva ESGPersefoni vs SweepPersefoni vs WatershedPersefoni vs NovistoPersefoni vs CoolsetPersefoni vs Workiva ESGSweep vs WatershedSweep vs NovistoSweep vs CoolsetSweep vs Workiva ESGWatershed vs NovistoWatershed vs CoolsetWatershed vs Workiva ESGNovisto vs CoolsetNovisto vs Workiva ESGCoolset vs Workiva ESG
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 →
W01
02030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Workiva ESG39%
02Watershed31%
Watershed31%03IBM Envizi6%
IBM Envizi6%04Persefoni6%
Persefoni6%05Sweep4%
Sweep4%06Novisto2%
Novisto2%07Diligent ESG0%
Diligent ESG0%08SAP Sustainability Control Tower0%
SAP Sustainability Control Tower0%09SpheraCloud Corporate Sustainability0%
SpheraCloud Corporate Sustainability0%10Salesforce Net Zero Cloud0%
Salesforce Net Zero Cloud0%11Position Green0%
Position Green0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, 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.
Workiva ESG
13%
7 of 52 labels negative · 7 of 14 models
“Standard enterprise leaders like Workiva or IBM Envizi typically charge per user or based on data volume/entity count... these costs can become exponential and difficult to forecast.” Qwen 3.7 Flash, budget prompt
Watershed17%
7 of 42 labels negative · 6 of 14 models
“may be well suited to emissions accounting, but can be insufficient for broad social, governance, controls, and financial-reporting workflows” Perplexity Sonar, negative prompt
Persefoni18%
6 of 33 labels negative · 5 of 14 models · 1 hard negative
“Avoid these unless user access is tightly restricted to a small core team.” Grok 4.20, budget prompt
IBM Envizi12%
6 of 50 labels negative · 5 of 14 models
“Some important features are not included in all subscription plans, it's expensive for medium and small-scale organizations, and some customers feel the product does not always deliver on its promises.” Claude Haiku 4.5, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
79 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. 1044 links across 294 sites, every framing counted. Ranked by the number of answers carrying the site or page. 6 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.
vendor site · G223 answers · 38 citations · 10 models
20 answers · 28 citations · 10 models
20 answers · 22 citations · 8 models
16 answers · 16 citations · 8 models
vendor site · cubemos15 answers · 15 citations · 8 models
15 answers · 15 citations · 8 models
14 answers · 15 citations · 9 models
14 answers · 14 citations · 7 models
13 answers · 21 citations · 5 models
13 answers · 15 citations · 10 models
vendor site · Guideflow13 answers · 13 citations · 7 models
vendor site · IBM12 answers · 22 citations · 8 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.
19 answers · 8 models
15 answers · 8 models
14 answers · 7 models
12 answers · 7 models
12 answers · 8 models
11 answers · 6 models
10 answers · 7 models
10 answers · 9 models
10 answers · 6 models
9 answers · 6 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 Workiva ESG 39% | 39% | 130 | 22,200 | 524 | 58,186 | $23 | 64 | 1 |
| Watershed watershed.com | 31% | 72 | 110,000 | 6,800 | 10,897 | $111 | 17 | |
| IBM parent site IBM Envizi 6% | 6% | 86 | 201,000 | 34,098 | ||||
| Persefoni persefoni.com | 6% | 81 | 1,300 | 23 | 8,274 | $3 | 26 | 7 |
| APLANET aplanet.org | 6% | 6 | 880 | 0 | 4,481 | |||
| Sweep sweep.net | 4% | 68 | 33,100 | 41,121 | 7,225 | 5 | ||
| Novisto novisto.com | 2% | 43 | 320 | 4 | 862 | 3 | ||
| SmartSuite smartsuite.com | 2% | 16 | 19,550 | 0 | ||||
| Generation Impact | 2% | |||||||
| today.green today.green | 2% | 1 |
Google's top ten for the three searches hold 20 sites; 1 of them are among the sites the models cited here (ibm.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 4.5Workiva ESGPersefoni, WatershedChangedWorkiva ESGNovistono first choiceagainst: Greenly, IBM Envizi, Persefoni, Workiva ESG
Three alternatives
IBM Envizi, Novisto, SweepThree alternatives
IBM Envizi, Microsoft Sustainability, NormativeFour alternatives
IBM Envizi, Novisto, SpheraCloud Corporate Sustainability, SweepThree alternatives
IBM Envizi, SpheraCloud Corporate Sustainability, Workiva ESGGPT-5.4 miniWorkiva ESGWatershedChangedWorkiva ESGIBM Envizino first choicenothing named
Two alternatives
SAP Sustainability Control Tower, Salesforce Net Zero CloudThree alternatives
Persefoni, Salesforce Net Zero Cloud, Workiva CarbonSix alternatives
Cority, Diligent ESG, Enablon, IBM Envizi, Novisto, SpheraCloud Corporate SustainabilityThree alternatives
Diligent ESG, Salesforce Net Zero Cloud, Workiva ESGGemini 3.5 FlashWorkiva ESGWatershedChangedWorkiva ESGWorkiva ESGno first choiceagainst: Oracle, SAP Sustainability Control Tower, Workday
Six alternatives
Cority, IBM Envizi, Persefoni, Salesforce Net Zero Cloud, Watershed, Wolters KluwerFive alternatives
IBM Envizi, Persefoni, SAP Sustainability Footprint Management, Salesforce Net Zero Cloud, SweepSeven alternatives
IBM Envizi, Persefoni, SAP Sustainability Control Tower, Salesforce Net Zero Cloud, Sphera Cloud, Watershed, Wolters KluwerFour alternatives
IBM Envizi, SpheraCloud Corporate Sustainability, Sweep, Wolters KluwerPerplexity SonarWorkiva ESGWatershedChangedWorkiva ESGAPLANETagainst: SAP Sustainability Control Towerno first choiceagainst: Benevity, Breathe, EcoVadis, Greenly, LSEG/Refinitiv, MSCI, Morningstar, Normative, Persefoni, S&P Global, SAP Sustainability Control Tower, SINAI, Sustainalytics, Watershed
Six alternatives
Diligent ESG, IBM Envizi, Novisto, Pulsora, SAP Sustainability Control Tower, WatershedFive alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Normative, Persefoni, SweepNine alternatives
Benchmark Gensuite, Diligent ESG, Enablon, IBM Envizi, Novisto, Persefoni, SAP Sustainability Control Tower, SpheraCloud Corporate Sustainability, WatershedOne alternative
Workiva ESGGrok 4.20WatershedWatershedHeldagainst: Greenly, SweepWorkiva ESGWorkiva ESGagainst: Diligent ESG, Novisto, Persefoni, WorkdayWorkiva ESGagainst: SpheraCloud Corporate Sustainability, Watershed, Workiva ESG
Three alternatives
AMCS, Persefoni, Workiva ESGSix alternatives
IBM Envizi, Microsoft Cloud for Sustainability, Normative, Persefoni, Salesforce Net Zero Cloud, SpheraCloud Corporate SustainabilityFour alternatives
IBM Envizi, OneStream, SAP Sustainability Control Tower, Wolters KluwerFour alternatives
IBM Envizi, OneStream ESG, SAP Sustainability Control Tower, SpheraCloud Corporate SustainabilityFour alternatives
Diligent ESG, Microsoft Cloud for Sustainability, SpheraCloud Corporate Sustainability, WatershedMistral SmallWorkiva ESGPersefoni, Sweep, WatershedChangedNovisto, Workiva ESGIBM Envizi, Workiva ESGno first choiceagainst: MSCI, Refinitiv/和讯库, Sustainalytics
Three alternatives
CCH Tagetik, IBM Envizi, Salesforce Net Zero CloudTwo alternatives
Normative, TerrascopeThree alternatives
Diligent ESG, IBM Envizi, SAP Sustainability Control TowerOne alternative
SpheraCloud Corporate SustainabilityDeepSeek V4 FlashWorkiva ESGWatershedChangedWorkiva ESGWorkiva ESGagainst: Persefoni, SmartSuite, Watershedno first choiceagainst: Code Gaia, Global Climate, OneTrust, Persefoni, Planted, SAP Sustainability Control Tower, ServiceNow GRC, Watershed
Four alternatives
Diligent ESG, IBM Envizi, Salesforce Net Zero Cloud, WatershedFour alternatives
Persefoni, SAP Sustainability Control Tower, SpheraCloud Corporate Sustainability, SweepSix alternatives
CCH Tagetik, IBM Envizi, Novisto, Position Green, SAP Sustainability Control Tower, WatershedOne alternative
Diligent ESGLlama 4 MaverickWorkiva ESGWatershedChangedno first choiceWorkiva ESGno first choicenothing named
Three alternatives
ClimatePartner Hub, Persefoni, TerrascopeTwo alternatives
IBM Envizi, WatershedQwen 3.7 FlashWorkiva ESGWatershedChangedWorkiva ESGAPLANET, Generation Impactagainst: IBM Envizi, SAP Sustainability Control Tower, Workiva ESGno first choiceagainst: Oracle, SAP Sustainability Control Toweragainst: IBM Envizi
Four alternatives
IBM Envizi, Persefoni, Sweep, WatershedTwo alternatives
IBM Envizi, PersefoniFour alternatives
Diligent ESG, Enablon, IBM Envizi, SAP Sustainability Control TowerTwo alternatives
Coolset, NetNadaKimi K2Workiva ESGWatershedChangedWorkiva ESGSmartSuiteagainst: Altruistiq, Enablon, IBM Envizi, Novisto, Position Green, SpheraCloud Corporate Sustainability, Watershed, Workiva ESGno first choicenothing named
One alternative
SAP Sustainability Control TowerTwo alternatives
Persefoni, SAP Sustainability Footprint ManagementSix alternatives
EcoVadis, IBM Envizi, Persefoni, SAP Sustainability Control Tower, SpheraCloud Corporate Sustainability, WatershedGLM 4.7 FlashXWorkiva ESGWatershedChangedWorkiva ESGAPLANETagainst: Watershed, Workiva ESGno first choicenothing named
Six alternatives
Benevity, Diligent ESG, EnergyCAP Emissions, Prophix One, SpheraCloud Corporate Sustainability, WatershedThree alternatives
IBM Envizi, Persefoni, Workiva ESGSix alternatives
CCH Tagetik, IBM Envizi, Novisto, OneStream, SAP Sustainability Control Tower, SweepMiniMax M2.5Workiva ESGPersefoni, WatershedChangedWorkiva ESGno first choiceno first choiceagainst: IBM Envizi, Persefoni, Watershed, Workiva ESG
Four alternatives
LogicGate, Persefoni, Salesforce Net Zero Cloud, WatershedTwo alternatives
Plan A, SpheraCloud Corporate SustainabilitySix alternatives
IBM Envizi, Novisto, Persefoni, Position Green, SAP Sustainability Control Tower, WatershedGPT-6 LunaWorkiva ESGWatershedChangedIBM Envizi, Workiva ESGIBM Envizino first choicenothing named
One alternative
IBM EnviziTwo alternatives
IBM Envizi, SweepTen alternatives
Diligent ESG, Microsoft Dynamics 365 Sustainability, Oracle, Oracle Fusion Cloud Sustainability, Persefoni, SAP Sustainability Control Tower, Salesforce Net Zero Cloud, SpheraCloud Corporate Sustainability, Watershed, Wolters Kluwer Enablon ESG ExcellenceTwo alternatives
Novisto, SmartSuiteMuse Glimmer 30BSweep, Workiva ESGWatershedChangedWorkiva ESGtoday.greenagainst: CCH Tagetik, IBM Envizi, Workiva ESGno first choicenothing named
Five alternatives
Assent, CCH Tagetik, IBM Envizi, SAP Sustainability Control Tower, SmartSuiteTwo alternatives
Normative, PersefoniSix alternatives
CCH Tagetik, Diligent ESG, IBM Envizi, Microsoft Cloud for Sustainability, SAP Sustainability Control Tower, SweepThree alternatives
APLANET SUSTAINABILITY Module, EcoSphere ESG Platform – Enterprise, Generation Impact GlobalBold 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.
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 | 2026-11-01 09:10 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:02 | yes | 2 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:12 | yes | 13 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:48 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 19 | 34 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:55 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:50 | yes | 24 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:09 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:33 | yes | 5 | 20 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:09 | yes | 20 | 19 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:31 | yes | 13 | 56 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:21 | yes | 20 | 45 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:58 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 08:56 | yes | 24 | 27 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:15 | yes | 16 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:39 | yes | 6 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:28 | yes | 9 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 11:54 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:12 | yes | 11 | 35 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:12 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:30 | yes | 23 | 18 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:30 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:32 | yes | 5 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:01 | yes | 25 | 53 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:17 | yes | 22 | 55 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:57 | no | 0 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:59 | yes | 1 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:16 | yes | 14 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:00 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:40 | yes | 7 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:06 | yes | 9 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 12:57 | yes | 10 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:12 | yes | 10 | 39 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:23 | yes | 25 | 18 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:00 | yes | 22 | 38 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:41 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:57 | yes | 5 | 21 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:58 | yes | 25 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:25 | yes | 23 | 129 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:18 | yes | 13 | 42 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:08 | yes | 12 | 39 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:35 | yes | 15 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:42 | yes | 15 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:57 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:34 | yes | 14 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 08:48 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:25 | yes | 14 | 31 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:10 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:09 | yes | 25 | 27 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:31 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:38 | yes | 13 | 95 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:33 | yes | 23 | 73 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:49 | yes | 24 | 158 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:46 | yes | 23 | 54 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:18 | yes | 3 | 24 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:24 | yes | 19 | 31 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:05 | yes | 19 | 15 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:14 | yes | 4 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:41 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 12:58 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:27 | yes | 14 | 35 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:49 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:40 | yes | 22 | 36 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:31 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:04 | yes | 5 | 35 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:53 | yes | 20 | 56 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:34 | yes | 14 | 15 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:05 | no | 0 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:50 | yes | 3 | 25 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:19 | yes | 14 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:32 | yes | 17 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:54 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:58 | no | 0 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:16 | yes | 10 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:20 | yes | 15 | 40 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:44 | yes | 19 | 13 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:39 | yes | 23 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:34 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:59 | yes | 5 | 20 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:54 | yes | 25 | 74 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:19 | yes | 25 | 44 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:35 | yes | 24 | 70 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:52 | yes | 3 | 24 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:29 | yes | 25 | 32 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
EnergyCAP read as EnergyCAP Emissions
Microsoft Sustainability Manager read as Microsoft Cloud for Sustainability
SAP read as SAP Sustainability Control Tower
SAP Sustainability read as SAP Sustainability Control Tower
Salesforce read as Salesforce Net Zero Cloud
Sphera read as SpheraCloud Corporate Sustainability
Workiva read as Workiva ESG
Unresolved, counted raw
AMCS (formerly FigBytes)
APLANET SUSTAINABILITY Module
Altruistiq
Breathe
EcoSphere ESG Platform – Enterprise
Generation Impact
Global Climate
LSEG
LSEG/Refinitiv
Microsoft Dynamics 365 Sustainability
Microsoft Sustainability
Morningstar
Nasdaq ESG
Novara Flex
Oracle Fusion Cloud Sustainability
Planted
Sphera Cloud
WOCE Solutions
Wolters Kluwer Enablon ESG Excellence
today.green
Discontinued, still offered
No shut-down product was recommended here.