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 54 → 49 of 59
Splunk · 1 category · RankedSplunk On-Call
49Judge labels
2First choices
15Negative labels
12 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in Incidents for enterprise buyers
Rank 12 of 65 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 33% of its 15 labels there were negative.
What the models named instead of Splunk On-Call →By buyer segmentRead the same way at every buyer size.
Small business52 of 63
0%11 labels
criticized challenger
Mid-market12 of 65
2%15 labels
criticized challenger
Enterprise6 of 44
2%22 labels
accepted challenger
In incidents · 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 Splunk On-Call 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 |
|---|---|---|---|---|---|---|---|
| Incident management and on-call | IT operations and endpoint | 2% | 12 of 65 | 33% | 15 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Splunk On-Call held within the floor in its one category: no change cleared 11 points.
Best category · Incidents · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 50 → 15 of 57
Enterprise▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 11 → 6 of 39
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Incidents | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 50 → 12 of 65 |
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 Splunk On-Call 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 Splunk On-Call 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 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 2 | 3 |
| Mistral Small | 1 | 0 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 2 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 1 | 0 | 3 |
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
Direct3 labelsNone
Paraphrase12 labelsNone
Comparative10 labelsNone
Budget-constrained6 labels2
Scale-constrained7 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative49 labels in all, every segment counted; 2 of the 2 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.
“Starts at $5 per user per month, making it a very budget-friendly option for structured on-call management.” Mistral Small · Incidents · budget prompt · first choice
“"Formerly VictorOps, Splunk On-Call offers a powerful rules engine for alert deduplication and routing."” Muse Glimmer 30B · Incidents · comparative prompt · alternative
“Enterprise compliance (FedRAMP, HIPAA) | If you need heavy regulatory certifications” DeepSeek V4 Flash · Incidents · scale prompt · alternative
“Best for DevOps-centric alerting teams already using Splunk. Strong alert routing” Muse Glimmer 30B · Incidents · scale 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.
“don't pick a tool that is likely to become a legacy product” DeepSeek V4 Flash · Incidents · negative prompt · hard negative
“Splunk-centric; less compelling if you don't use the Splunk stack; the product has been somewhat stagnant since the acquisition” DeepSeek V4 Flash · Incidents · comparative prompt · soft negative
“be cautious if you're not already committed to that observability ecosystem” GPT-5.4 mini · Incidents · negative prompt · soft negative
“Mixed reliability on notifications/escalations in high-volume scenarios” Grok 4.20 · Incidents · negative prompt · soft negative
Named alongside
The products named in the same answers as Splunk On-Call, over the 48 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Splunk On-Call was named but was not.ShowHide
Named alongside
The products named in the same answers as Splunk On-Call, over the 48 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Splunk On-Call 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 Splunk On-Call. 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 42 of the 48 answers that named Splunk On-Call and are not a share of its labels.
Domains cited
motadata.com23
incident.io21
rootly.com21
g2.com17
guideflow.com17
pagerduty.com14
hyperping.com13
atlassian.com12
expertinsights.com11
instatus.com11
160 of the 160 domain citations in answers naming Splunk On-Call came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Splunk On-Call stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Splunk On-Call stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 480 a month (“splunk on-call”)
- AI search demand for its name, est.
- 11 a month
- Its own site
- It sits on Splunk's site (splunk.com), so there are no site figures for it alone
In answers
This editionShare of first choices
2%
rank 12 of 65 in incidents
Segment leader
32%
incident.io
- First choices
- 2 across its categories
- Named in
- 48 answers
- Its own site cited
- in 42 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 Splunk On-Call
What the judge wrote, as written, with how often. The vendor table decides that these count as Splunk On-Call; a claim can dispute any of them.
Splunk On-Call (VictorOps) 2Splunk On-Call / VictorOps 2VictorOps 2Splunk On-Call (ex-VictorOps) 1Splunk On-Call (formerly VictorOps) 1VictorOps (Splunk) 1VictorOps (now Splunk On-Call) 1VictorOps (now part of Splunk On-Call) 1VictorOps / Splunk On-Call 1
Follow Splunk On-Call
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
Splunk is the company behind Splunk On-Call.ShowHide
The company
Splunk is the company behind Splunk On-Call.
ShowHideOn record
Company records- Also from Splunk
- Splunk AI, Splunk AIOps, Splunk APM, Splunk Enterprise Security, Splunk IT Service Intelligence, Splunk ITSI, Splunk ITSI / Splunk Observability, Splunk Observability Cloud and 4 more
In its own words
Stated by the vendor, not checked- Positioning
- About how to manage alerts in Splunk On-Call.
- Not stated on the pages read
- Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers
What Splunk On-Call's own pages state, read September 28, 2026: community.splunk.com/t5/Splunk-On-Call/bd-p/it-victor-ops, help.splunk.com/en/splunk-observability-cloud/splunk-on-call/alerts, help.splunk.com/en/splunk-observability-cloud/splunk-on-call/incidents, help.splunk.com/en/splunk-observability-cloud/splunk-on-call/create-and-manage-on-call-schedules, help.splunk.com/en/splunk-enterprise/alert-and-respond/splunk-on-call/alerts. 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 Splunk On-Call'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 Splunk On-Call, 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 Splunk On-Call by email, built from the raw record of the edition. It shows:
- where Splunk On-Call 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 Splunk On-Call, 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.