SAP SuccessFactors Employee Central – Time Off
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
LeaveBoard is first at 21%.
LeaveBoard is first at 18%.
Workday is first at 24%.
Why models recommend it
No positive label carried a quote.
What gives them pause
“may not yet need the complexity of massive enterprise suites like SAP SuccessFactors”Qwen 3.7 Flash · Scale-constrained question · warning
Also on the shortlist
The products named in the same answers as SAP SuccessFactors Employee Central – Time Off, over the 28 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 26 | 10 | View → | |
| 14 | 3 | View → | |
| 14 | 1 | View → | |
| 14 | 0 | View → | |
| 9 | 1 | View → | |
| 9 | 0 | View → | |
| 8 | 3 | View → | |
| 7 | 0 | View → | |
| 6 | 1 | View → | |
| 6 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on SAP SuccessFactors Employee Central – Time Off's own site, not checked by Gane.
- Also from SAP
- SAP Analytics Cloud, SAP Ariba, SAP BPC / SAP Analytics Cloud, SAP ECC, SAP Engagement Cloud, SAP Fieldglass and 27 more
How this is measured
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 →Sources returned with these answers
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 26 of the 28 answers that named SAP SuccessFactors Employee Central – Time Off and are not a share of its labels.
Domains cited
104 of the 104 domain citations in answers naming SAP SuccessFactors Employee Central – Time Off came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |