| Platform | Q Research Software | Algoroo | Δ mentions |
|---|---|---|---|
| Anthropic | 6 rank 3.5 | 91 rank 4.59 | +85 |
| OpenAI | 3 rank 2.33 | 126 rank 5.98 | +123 |
| 0 | 106 rank 6.11 | +106 |
No domains are mapped for Q Research Software yet, so its citations can't be credited. Map its domains in Settings › Competitor Domains and the numbers will show here.
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-10-22 | Anthropic | Penalty Analysis | 3 | — | Q Research Software This survey analysis platform (from the makers of Displayr) offers similar penalty analysis calculations, where |
| 2026-10-21 | Anthropic | Penalty Analysis | 3 | — | Q Research Software Another strong option for market researchers running JAR-based penalty analysis. |
| 2026-10-20 | Anthropic | Penalty Analysis | 7 | — | Q Research Software |
| 2026-10-20 | OpenAI | Penalty Analysis | 3 | — | Q Research Software Flexible survey-analysis software supporting customizable penalty analysis through R. (help.qresearchsoftware.com) |
| 2026-10-19 | Anthropic | Penalty Analysis | 3 | — | Q Research Software Purpose-built for market research, Q lets you compute penalty analysis using its table and R-output tools, where |
| 2026-10-19 | OpenAI | Penalty Analysis | 1 | — | Q Research Software Strong option for calculating sensory-product penalty analysis from JAR and overall-liking data. (help.qresearchsoftware.com) |
| 2026-10-18 | Anthropic | Penalty Analysis | 2 | — | Q Research Software Q offers a flexible, R-powered workflow for penalty analysis, where |
| 2026-10-16 | OpenAI | Penalty Analysis | 3 | — | Q Research Software Advanced survey-analysis tool supporting customizable penalty analysis through R. |
| 2026-10-15 | Anthropic | Penalty Analysis | 3 | — | Q Research Software Similar to Displayr, Q (from the same family of tools) lets you |