A product needs 10 labels in a category before a share is stated. SAP Concur has 2.
No positive label carried a quote.
“Notoriously poor UX/UI: Frequently described as unintuitive, clunky, and dated.”DeepSeek V4 Flash · Negative question · warning
“Low Trustpilot scores (~1.6/5 in some snapshots) highlight: Overly complicated interfaces, painful setup”Grok 4.20 · Negative question · warning
The products named in the same answers as SAP Concur, over the 3 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 1 | 1 | View → | |
| 1 | 1 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → | |
| 1 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
Stated on SAP Concur'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 3 of the 3 answers that named SAP Concur and are not a share of its labels.
Seventeen of the nineteen domain citations in answers naming SAP Concur came from a third party's page. Two were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages are listed as the models cited them.
| 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 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 |