Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 50 → 76 of 78
IBM Turbonomic
33Judge labels
0First choices
10Negative labels
12 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in FinOps for mid-market buyers
Rank 24 of 76 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business81 of 83
0%7 labels
under the label threshold
Mid-market24 of 76
0%7 labels
under the label threshold
Enterprise14 of 73
0%8 labels
under the label threshold
In finops · 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 Turbonomic 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 |
|---|---|---|---|---|---|---|---|
| Cloud cost management | Cloud and infrastructure | 0% | 24 of 76 | 0% | 7 | under 10 labels · led by Vantage at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| IT financial management | IT operations and endpoint | 0% | 133 of 159 | 33% | 3 | under 10 labels · led by Nicus ITFM Platform at 9% | |
| AIOps platforms | IT operations and endpoint | 0% | 86 of 93 | 50% | 2 | under 10 labels · led by New Relic at 17% |
Movement
Since September 2026, IBM Turbonomic held within the floor in all three categories: no change cleared 11 points.
Best category · FinOps · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 66 → 23 of 70
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 16 → 15 of 71
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| FinOps | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 66 → 24 of 76 |
| IT financial mgmt | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 133 of 159, unchanged |
| AIOps | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 86 of 93, unchanged |
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 11 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 Turbonomic 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 Turbonomic 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 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 1 | 2 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
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
Direct8 labelsNone
Paraphrase4 labelsNone
Comparative11 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative9 labelsNone
First choiceAlternativeMentionNegative33 labels in all, every segment counted; 0 of the 0 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.
“IBM Turbonomic offers AI-driven resource optimization, multi-cloud cost visibility, and automated scaling” Claude Haiku 4.5 · FinOps · comparative prompt · alternative
“If you also want automated performance‑aware optimization → add Turbonomic” GLM 4.7 FlashX · FinOps · comparative prompt · alternative
“Prioritize leaders like Apptio Cloudability, IBM Turbonomic, or DOIT” Grok 4.20 · FinOps · negative 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.
“they are generally not recommended for mid-market B2B companies” Gemini 3.5 Flash · AIOps · direct prompt · hard negative
“Unlike enterprise-heavy platforms (like IBM Turbonomic or Oracle)” Qwen 3.7 Flash · IT financial mgmt · paraphrase prompt · soft negative
Named alongside
The products named in the same answers as IBM Turbonomic, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Turbonomic was named but was not.ShowHide
Named alongside
The products named in the same answers as IBM Turbonomic, over the 33 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Turbonomic 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 Turbonomic. 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 32 of the 33 answers that named IBM Turbonomic and are not a share of its labels.
Domains cited
cloudaware.com19
cloudzero.com18
g2.com15
nops.io12
peerspot.com12
amnic.com11
finout.io9
gartner.com9
learn.g2.com9
vantage.sh8
122 of the 122 domain citations in answers naming IBM Turbonomic came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where IBM Turbonomic stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where IBM Turbonomic stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 320 a month (“ibm turbonomic”)
- AI search demand for its name, est.
- 20 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 24 of 76 in finops
Segment leader
45%
Vantage
- First choices
- 0 across its categories
- Named in
- 33 answers
- Its own site cited
- in 32 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 Turbonomic
What the judge wrote, as written, with how often. The vendor table decides that these count as IBM Turbonomic; a claim can dispute any of them.
Turbonomic 1
Follow IBM Turbonomic
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 Turbonomic.ShowHide
The company
IBM is the company behind IBM Turbonomic.
ShowHideOn record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- Improve app performance, increase IT productivity, and unite teams
- For
- SREs or developers
- Price stated
- Un modello semplificato ed economico che offre trasparenza e controllo su spese cloud e data center, ottimizzando al contempo le prestazioni dei workload, consentendo alle organizzazioni di automatizzare le azioni di ottimizzazione delle risorse, riducendo lo sforzo manuale e i costi operativi. ibm.com/it-it/products/turbonomic
- Free plan or trial
- Try Turbonomic developer.ibm.com/components/turbonomic
- Customers named
- IBM Big AI Models (BAM) teamHyland SoftwareIBM CIO OrganizationAPIS ITIBM Technology ZoneAtruvia AGAssaí
- Not stated on the pages read
- Starting price, integrations, certifications, hosting
What IBM Turbonomic's own pages state, read September 28, 2026: developer.ibm.com/components/turbonomic, ibm.com/case-studies/ibm-bam-turbonomic, developer.ibm.com/tutorials/turbonomic-manage-aws-resources, developer.ibm.com/articles/understanding-application-resource-management-using-turbonomic, ibm.com/it-it/products/turbonomic. 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 Turbonomic'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 Turbonomic, 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 Turbonomic by email, built from the raw record of the edition. It shows:
- where IBM Turbonomic 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 Turbonomic, 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.