ESG and carbon reporting
Asked as “ESG reporting software”, and as “carbon accounting platform”, on behalf of a mid-market B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
36%
Contested · Sweep 10%
36Greenly10Sweep07Coolset47others
36% of first choices, contested.
Since September 2026↗new leaderNew leader since September 2026: Greenly (33%) replaces Sweep (25% then, 10% now), 24 points clear, past the 10-point floor.Greenly leads at 33%, replacing Sweep, which led at 25% and stands at 10% now: 24 points clear, past the 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.This pageEnterprise
Workiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →
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.This pageEnterpriseWorkiva37%Contested=heldSince September 2026: 38% → 38%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Greenly36%6%36endorsed leader▲+20Since September 2026: 13% → 33%, +20 points. Past the 10-point floor: movement. Read over the models both editions asked.13% → 33%
Greenly36%6%36endorsed leader▲+20Since September 2026: 13% → 33%, +20 points. Past the 10-point floor: movement. Read over the models both editions asked.13% → 33%02
Sweep10%4%23accepted challenger▼−15Since September 2026: 25% → 10%, −15 points. Past the 10-point floor: movement. Read over the models both editions asked.25% → 10%
Sweep10%4%23accepted challenger▼−15Since September 2026: 25% → 10%, −15 points. Past the 10-point floor: movement. Read over the models both editions asked.25% → 10%03
Coolset7%9%11accepted challenger=heldSince September 2026: 8% → 8%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 8%
Coolset7%9%11accepted challenger=heldSince September 2026: 8% → 8%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 8%04
Persefoni5%3%30accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%
Persefoni5%3%30accepted challenger▼−2Since September 2026: 6% → 4%, −2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 4%05
Watershed3%23%30accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%
Watershed3%23%30accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%06
Novisto3%7%14accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 2%
Novisto3%7%14accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 2%07
Plan A3%0%11accepted challenger▼−6Since September 2026: 10% → 4%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 4%
Plan A3%0%11accepted challenger▼−6Since September 2026: 10% → 4%, −6 points. Inside the 10-point floor: within noise. Read over the models both editions asked.10% → 4%08Workiva3%40%30criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%
Workiva3%40%30criticized challenger=heldSince September 2026: 4% → 4%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.4% → 4%09
Novata2%0%12accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Novata2%0%12accepted 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
13
IBM Envizi0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
IBM Envizi0%35%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%12
Sphera0%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%
Sphera0%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%11
Normative0%14%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Normative0%14%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%10
Microsoft Cloud for Sustainability0%8%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%8%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%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 →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Greenly36%
Greenly36%02Sweep10%
Sweep10%03Coolset7%
Coolset7%04Persefoni5%
Persefoni5%05Watershed3%
Watershed3%06Novisto3%
Novisto3%07Plan A3%
Plan A3%08Workiva3%
Workiva3%09Novata2%
Novata2%10Microsoft Cloud for Sustainability0%
Microsoft Cloud for Sustainability0%11Normative0%
Normative0%12Sphera0%
Sphera0%13IBM Envizi0%
IBM Envizi0%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, 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 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.
Workiva40%
12 of 30 labels negative · 7 of 14 models · 2 hard negative
“Avoid paying for enterprise platforms like Workiva unless you have complex disclosure, assurance, or multi-framework requirements” Perplexity Sonar, budget prompt
Watershed23%
7 of 30 labels negative · 5 of 14 models · 1 hard negative
“What to Avoid - Watershed — Excellent but typically over $50K–$250K/year; better suited for large enterprises” Kimi K2, paraphrase prompt
IBM Envizi35%
6 of 17 labels negative · 4 of 14 models · 1 hard negative
“Avoid massive enterprise platforms (like Salesforce Net Zero Cloud or IBM Envizi)” Gemini 3.5 Flash, scale prompt
MSCI60%
3 of 5 labels negative · 3 of 14 models
“MSCI's 40/30/30 weighting (Environmental/Social/Governance) can overemphasize environmental factors, potentially masking social and governance risks” Claude Haiku 4.5, negative 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
77 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. 1002 links across 260 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.
41 answers · 48 citations · 12 models
vendor site · Guideflow29 answers · 39 citations · 11 models
vendor site · Coolset27 answers · 27 citations · 10 models
26 answers · 33 citations · 10 models
vendor site · G221 answers · 46 citations · 7 models
vendor site · Persefoni17 answers · 20 citations · 12 models
17 answers · 18 citations · 9 models
vendor site · Manglai15 answers · 16 citations · 9 models
vendor site · Tracera15 answers · 16 citations · 9 models
14 answers · 14 citations · 9 models
vendor site · Watershed13 answers · 13 citations · 7 models
12 answers · 16 citations · 9 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.
27 answers · 10 models
25 answers · 12 models
22 answers · 10 models
18 answers · 9 models
15 answers · 9 models
12 answers · 9 models
11 answers · 7 models
10 answers · 7 models
9 answers · 8 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 |
|---|---|---|---|---|---|---|---|---|
| Greenly greenly.earth | 36% | 102 | 2,900 | 28 | 130,546 | 26 | ||
| Sweep sweep.net | 10% | 63 | 33,100 | 41,121 | 7,225 | 5 | ||
| Coolset coolset.com | 7% | 20 | 720 | 0 | 4,690 | |||
| Persefoni persefoni.com | 5% | 78 | 1,300 | 23 | 8,274 | $3 | 26 | 7 |
| Watershed watershed.com | 3% | 82 | 110,000 | 6,800 | 10,897 | $111 | 17 | |
| Novisto novisto.com | 3% | 37 | 320 | 4 | 862 | 3 | ||
| Plan A plana.earth | 3% | 25 | 4,400 | 685,726 | 31,908 | |||
| Workiva workiva.com | 3% | 596 | 22,200 | 524 | 58,186 | $23 | 64 | 1 |
| Aclymate aclymate.com | 3% | 9 | 110 | 0 | 380 | 9 | ||
| ExecutESG executesg.com | 3% | 7 | 10 | 0 | 4 |
Google's top ten for the three searches hold 20 sites; 1 of them are among the sites the models cited here (persefoni.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 a mid-market B2B company?”Paraphrase“Which carbon accounting platform would you recommend to a mid-sized B2B company?”Comparative“What are the top ESG reporting platforms and how do they differ?”Budget-constrained“What is the best ESG reporting software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a ESG reporting software. What should we look at?”Negative“Which ESG reporting platforms should I avoid or be cautious about?”
Claude Haiku 4.5EcoOnline ESGGreenly, Plan AChangedWorkivaGreenlyno first choiceagainst: LSEG, MSCI, Sustainalytics
Three alternatives
Coolset, Novata, SweepThree alternatives
Emitwise, KEY ESG, NormativeNine alternatives
Greenly, Greenstone, IBM Envizi, Microsoft Cloud for Sustainability, Normative, Novata, Sphera, Sustain.Life, SweepFour alternatives
Intelex, Normative, Plan A, Sustain.LifeGPT-5.4 miniWorkivaPersefoniChangedWorkivaHorizon ESGagainst: Greenlyno first choicenothing named
Three alternatives
Credibl ESG, IBM Envizi, Microsoft Cloud for SustainabilityTwo alternatives
Greenly, WatershedFive alternatives
Benchmark Gensuite, Cority, Datamaran, IBM Envizi, SpheraOne alternative
ESG ReportingGemini 3.5 FlashCoolset, Greenlyagainst: Salesforce Net Zero Cloud, Watershed, WorkivaGreenly, SumdayChangedWorkivaExecutESGagainst: IBM Envizi, Watershed, Workivano first choiceagainst: IBM Envizi, Salesforce Net Zero Cloudagainst: Workiva
Four alternatives
Gravity, KEY ESG, Novata, SweepTwo alternatives
KEY ESG, Plan AFive alternatives
Diligent ESG, IBM Envizi, Microsoft Cloud for Sustainability, Persefoni, WatershedSeven alternatives
Dcycle, EFRAG’s Free Digital Template, ESG Lift, Manglai, Normative, SME Climate Hub, Sustain.LifeSix alternatives
Brightest, Daato, Greenly, Persefoni, Sweep, WatershedPerplexity SonarGreenlyCoolsetChangedWorkivaFineReport, Greenlyagainst: Workivano first choicenothing named
Four alternatives
EcoOnline ESG, Novata, Novisto, SweepThree alternatives
Greenly, Persefoni, Plan AThree alternatives
Diligent ESG, IBM Envizi, WatershedGrok 4.1 FastGreenly, Sweepagainst: Normative, Watershed, WorkivaGreenlyChangedagainst: WatershedWorkivaPledge CarbonCoolsetagainst: Workivaagainst: Coolset, Greenly, Novisto, SAP ESG, Workiva
Two alternatives
Horizon ESG, cubemosThree alternatives
Normative, Persefoni, SweepFour alternatives
Novisto, Persefoni, Sweep, WatershedTwo alternatives
Greenly, NovataThree alternatives
EcoOnline ESG, Guideflow, SweepMistral SmallSweepGreenlyChangedno first choiceESG Lift, Greenlyno first choicenothing named
Two alternatives
EcoOnline ESG, NovataThree alternatives
Net Zero Cloud by Salesforce, Normative, PersefoniTwo alternatives
ESGgo, Sustain.LifeDeepSeek V4 FlashSweepagainst: WorkivaGreenlyChangedagainst: WatershedWorkivaExecutESGCoolsetagainst: Diligent ESG, EcoVadis, IBM Envizi, KEY ESG, Sphera, Workiva
Three alternatives
Coolset, Greenly, NovistoTwo alternatives
Normative, PersefoniSeven alternatives
Greenly, IBM Envizi, Microsoft Cloud for Sustainability, Persefoni, Salesforce Net Zero Cloud, Sweep, WatershedTwo alternatives
ESG Lift, GreenlyFive alternatives
GreenWorks ESG, Persefoni, Pulsora, Watershed, WorkivaLlama 4 MaverickSweepEmitwiseChangedno first choiceno first choiceno first choicenothing named
Two alternatives
EcoOnline ESG, NovataOne alternative
PersefoniQwen 3.7 FlashWatershedPersefoniChangedPersefoni, WatershedAclymate, Scopeno first choiceagainst: Enverus, Sphera, Workiva
Five alternatives
Carbon Cloud, Enablon, Persefoni, PlanA, SpheraTwo alternatives
Normative, Plan AThree alternatives
IBM Envizi, Novisto, WorkivaTwo alternatives
FigBytes, Pledge CarbonKimi K2Novata, Position GreenGreenlyChangedagainst: Normative, WatershedWorkivaGreenlyno first choiceagainst: MSCI, Sustainalytics
Three alternatives
Greenly, Novisto, WorkivaThree alternatives
Persefoni, Plan A, SweepSeven alternatives
Diligent ESG, EcoVadis, IBM Envizi, MSCI ESG Research, Persefoni, Sphera Corporate Sustainability, SustainalyticsFour alternatives
ESGgo, Excel, Sustain.Life, Vena Solutions ESG TemplateGLM 4.7 FlashXWorkivaagainst: IBM EnviziGreenlyChangedagainst: PersefoniGRIAclymateagainst: Salesforce Net Zero, Workivano first choiceagainst: Fitch, ISS, MSCI ESG Ratings, Moody's, RepRisk, S&P Global, Sustainalytics
Five alternatives
Greenly, Measurabl, Novisto, Persefoni, Position GreenTwo alternatives
Plan A, SAP Sustainability Footprint ManagementSeven alternatives
CDP, GRESB, ISS ESG, MSCI ESG Ratings, SASB, Sustainalytics, TCFDThree alternatives
Multiplye, Sustain.Life, SweepMiniMax M2.5Plan A, SweepGreenlyChangedWorkivaGreenly, MultiplyeGreenly, Novisto, Tracera, Watershednothing named
Two alternatives
EcoOnline ESG, NovataThree alternatives
Persefoni, Sweep, WatershedFour alternatives
Microsoft Cloud for Sustainability, SAP Sustainability Control Tower, Sphera, WatershedTwo alternatives
Code Gaia, IntelexGPT-6 LunaGreenlyGreenlyHeldWorkivaGreenWorks ESGno first choiceagainst: Microsoft Cloud for Sustainability
Two alternatives
Novisto, WorkivaTwo alternatives
Persefoni, WatershedSeven alternatives
Diligent ESG, IBM Envizi, Oracle, Persefoni, Salesforce Net Zero Cloud, Sphera, WatershedOne alternative
PersefoniMuse Glimmer 30BNovisto, SweepGreenlyChangedno first choiceGreenly, Persefoniagainst: IBM Envizi, Sweep, Watershed, Workivano first choiceagainst: EcoVadis, IBM Envizi, MSCI, Morningstar Sustainalytics
Two alternatives
Coolset, NovataThree alternatives
Coolset, Microsoft Cloud for Sustainability, Plan AFour alternatives
EcoChain, EnergyElephant, Novata, Pledge CarbonBold 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 08:39 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:39 | yes | 4 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:59 | yes | 21 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:34 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:41 | yes | 25 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:05 | yes | 5 | 2 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:52 | yes | 20 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:18 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:53 | no | 0 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:22 | yes | 20 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:06 | yes | 22 | 46 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:45 | yes | 8 | 21 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:45 | yes | 3 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:25 | yes | 13 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:32 | yes | 9 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:32 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:10 | yes | 19 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:58 | yes | 17 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:49 | yes | 24 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:48 | yes | 15 | 9 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:18 | yes | 22 | 26 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:20 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:03 | yes | 8 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:05 | yes | 20 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:40 | yes | 15 | 44 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:46 | yes | 10 | 21 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:21 | yes | 4 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:53 | yes | 14 | 21 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:47 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:16 | yes | 2 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:08 | yes | 15 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:38 | yes | 17 | 7 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:21 | yes | 18 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:12 | yes | 8 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:37 | yes | 23 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:58 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:29 | yes | 12 | 27 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:26 | yes | 15 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:44 | no | 0 | 18 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:36 | yes | 5 | 13 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:16 | yes | 7 | 28 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:26 | yes | 15 | 23 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:45 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:47 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:23 | yes | 18 | 23 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:44 | yes | 16 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:42 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:50 | yes | 10 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:53 | yes | 23 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:22 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:23 | yes | 5 | 21 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:07 | yes | 17 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:30 | yes | 23 | 65 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:03 | yes | 9 | 14 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:02 | yes | 2 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:24 | yes | 21 | 36 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:41 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:40 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:44 | yes | 10 | 32 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:14 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:47 | yes | 13 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:09 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 20 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:12 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:50 | no | 0 | 36 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:37 | yes | 10 | 17 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:13 | yes | 5 | 29 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:06 | yes | 2 | 24 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:03 | yes | 12 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:18 | yes | 27 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:51 | yes | 6 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:31 | yes | 11 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:07 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:24 | yes | 24 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:20 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:31 | yes | 25 | 27 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:44 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:23 | yes | 10 | 46 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:37 | yes | 25 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:14 | yes | 24 | 92 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:14 | yes | 5 | 14 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:22 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:54 | yes | 22 | 36 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
EcoOnline read as EcoOnline ESG
Microsoft Sustainability Manager read as Microsoft Cloud for Sustainability
SAP read as SAP Sustainability Control Tower
Salesforce read as Salesforce Net Zero Cloud
Unresolved, counted raw
CICERO
Carbon Cloud
Clarity AI
Credibl ESG
Daato
EFRAG’s Free Digital Template
ESG Book
EnergyElephant
Enverus
FTSE Russell
FactSet Truvalue Labs
GRESB
GRI (Global Reporting Initiative)
Gravity
Greenstone
LSEG (formerly Refinitiv)
MSCI ESG Research
Measurabl
Moody's ESG Solutions
Net Zero Cloud by Salesforce
PlanA
Refinitiv ESG
S&P Global CSA
S&P Global Sustainable1
SAP ESG
SASB (Sustainability Accounting Standards Board)
STEP ESG Resources
Salesforce Net Zero
Sumday
Sustainalytics, a Morningstar company
TCFD (Task Force on Climate-related Financial Disclosures)
Template.net
Vena Solutions ESG Template
cubemos
Discontinued, still offered
No shut-down product was recommended here.