Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 87 → 103 of 106
IBM · 1 category · RankedIBM Envizi
73Judge labels
3First choices
22Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
6% in ESG and carbon reporting for enterprise buyers
Rank 29 of 110 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 35% of its 17 labels there were negative.
What the models named instead of IBM Envizi →By buyer segmentRead the same way at every buyer size.
Small business109 of 110
0%14 labels
criticized challenger
Mid-market29 of 110
0%17 labels
criticized challenger
Enterprise3 of 86
6%42 labels
accepted challenger
In esg and carbon reporting · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named IBM Envizi for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| ESG and carbon reporting | Equity and corporate | 0% | 29 of 110 | 35% | 17 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, IBM Envizi held within the floor in its one category: no change cleared 10 points.
Best category · ESG and carbon reporting · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 25 → 26 of 96
Enterprise▼−3Since September 2026: 10% → 7%, −3 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
7%from 10% in September 2026
Inside the floor by 7 pointsRank 3 of 75, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ESG and carbon reporting | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 25 → 29 of 110 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
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 · The editions
By model
How each model treated IBM Envizi across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated IBM Envizi across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 2 | 3 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 2 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct14 labels1
Paraphrase7 labelsNone
Comparative23 labelsNone
Budget-constrained12 labels2
Scale-constrained3 labelsNone
Negative14 labelsNone
First choiceAlternativeMentionNegative73 labels in all, every segment counted; 3 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Choose IBM Envizi or Novisto if: You have a complex, multi-country organization with disparate data sources” Qwen 3.7 Flash · ESG and carbon reporting · comparative prompt · alternative
“Worth a close look for large, multi-site organizations with complex utility or operational data.” GPT-6 Luna · ESG and carbon reporting · comparative prompt · alternative
“For enterprise companies (1000+ employees), Workiva, IBM Envizi, and Microsoft are recommended” Claude Haiku 4.5 · ESG and carbon reporting · comparative prompt · alternative
“Choose IBM Envizi if: Carbon accounting and environmental data automation is your priority” Kimi K2 · ESG and carbon reporting · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid massive enterprise platforms (like Salesforce Net Zero Cloud or IBM Envizi)” Gemini 3.5 Flash · ESG and carbon reporting · scale prompt · hard negative
“the hierarchy of controls limitation reported for IBM Envizi where the two-level limitation prevents certain customized adjustments, often requiring recourse to Excel” Muse Glimmer 30B · ESG and carbon reporting · negative prompt · soft negative
“Enterprise platforms like Sphera, IBM Envizi, or Diligent ESG are often overkill (and overpriced)” DeepSeek V4 Flash · ESG and carbon reporting · negative prompt · soft negative
“built for large corporations and carry five-figure price tags and long sales cycles” Gemini 3.5 Flash · ESG and carbon reporting · budget prompt · soft negative
Named alongside
The products named in the same answers as IBM Envizi, over the 73 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Envizi was named but was not.ShowHide
Named alongside
The products named in the same answers as IBM Envizi, over the 73 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Envizi was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named IBM Envizi. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 73 of the 73 answers that named IBM Envizi and are not a share of its labels.
Domains cited
onestopesg.com37
guideflow.com31
coolset.com28
pulsora.com27
fanruan.com23
g2.com20
linkedin.com18
watershed.com18
techtarget.com17
gartner.com16
235 of the 235 domain citations in answers naming IBM Envizi came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where IBM Envizi stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where IBM Envizi stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 170 a month (“ibm envizi”)
- AI search demand for its name, est.
- 5 a month
- Its own site
- It sits on IBM's site (ibm.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 29 of 110 in ESG and carbon reporting
Segment leader
36%
Greenly
- First choices
- 3 across its categories
- Named in
- 73 answers
- Its own site cited
- in 73 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as IBM Envizi
What the judge wrote, as written, with how often. The vendor table decides that these count as IBM Envizi; a claim can dispute any of them.
IBM Envizi ESG Suite 6
Follow IBM Envizi
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
IBM is the company behind IBM Envizi.ShowHide
The company
IBM is the company behind IBM Envizi.
ShowHideOn record
Company records- Also from IBM
- IBM Apptio Cloudability, IBM Blueworks Live, IBM Cognos, IBM Cognos Analytics, IBM Cognos Controller, IBM InfoSphere Data Architect, IBM Maximo, IBM OpenPages and 2 more
In its own words
Stated by the vendor, not checked- Positioning
- Strengthen reporting, reduce risk and accelerate decarbonization with trusted, AI-assisted sustainability data management
- For
- software teams
- Price stated
- Envizi’s pricing is based on the data volume you need to manage, ensuring scalability as your requirements grow. Your exact requirements will be scoped during the sales process and our pricing calculator will provide an indicative number. ibm.com/products/envizi
- Free plan or trial
- try the IBM Envizi Emissions API for free by signing up and getting started in a few minutes developer.ibm.com/articles/embed-emissions-insights-envizi-api
- Customers named
- Ikano GroupDowner GroupBanFast Förvaltning ABGPT GroupDowner
- Not stated on the pages read
- Starting price, integrations, certifications, hosting
What IBM Envizi's own pages state, read September 28, 2026: ibm.com/products/envizi, developer.ibm.com/components/envizi, ibm.com/case-studies/downer-ibm-envizi-esg-suite, developer.ibm.com/articles/embed-emissions-insights-envizi-api, developer.ibm.com/tutorials/awb-planning-analytics-addon-envizi. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when IBM Envizi's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as IBM Envizi, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for IBM Envizi by email, built from the raw record of the edition. It shows:
- where IBM Envizi is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name IBM Envizi, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.