Splunk On-Call is an incident management and on-call product from Splunk, formerly known as VictorOps · splunk.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
incident.io is first at 39%.
incident.io is first at 47%. 0 of 14 models made it the first choice when asked directly.
PagerDuty is first at 53%.
“Choose PagerDuty or Splunk On-Call if you have thousands of alerts and need bulletproof reliability”Qwen 3.7 Flash · Comparative question · first choice
“Splunk On-Call at $5 per user per month is a budget-friendly entry point for structured on-call.”Claude Haiku 4.5 · Budget-constrained question · alternative
“Choose Splunk On-Call if Splunk is already central to your observability stack.”GPT-5.4 mini · Comparative question · alternative
“If you use Splunk: Deep integration with Splunk monitoring”Claude Haiku 4.5 · Paraphrase question · alternative
“Avoid legacy options like VictorOps (now Splunk On-Call) unless you're Splunk-heavy”Grok 4.20 · Paraphrase question · warning
“feedback highlights integration complexities, occasional UI issues ... can be overkill or pricey for simpler needs”Grok 4.20 · Negative question · warning
“Simple, fast setup, but may lack advanced workflow automation and enterprise governance needed at 500+ employees.”Gemini 3.5 Flash · Scale-constrained question · warning
“Faced community criticisms about the interface being clunky and the platform feeling neglected post-acquisition.”DeepSeek V4 Flash · Negative question · warning
The products named in the same answers as Splunk On-Call, over the 46 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 44 | 16 | View → | |
| 34 | 0 | View → | |
| 31 | 8 | View → | |
| 28 | 1 | View → | |
| 24 | 4 | View → | |
| 22 | 1 | View → | |
| 21 | 0 | View → | |
| 21 | 0 | View → | |
| 12 | 1 | View → | |
| 10 | 0 | View → |
What the models named instead of Splunk On-Call →
A side-by-side page exists where both products are among a category's top eight.
Stated on Splunk On-Call's own site, not checked by Gane.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →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. These counts come from 37 of the 46 answers that named Splunk On-Call and are not a share of its labels.
109 of the 109 domain citations in answers naming Splunk On-Call came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 1 | 1 | 2 |
| Grok 4.20 | 0 | 1 | 2 | 2 | 5 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 2 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 1 | 1 | 0 | 3 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |