| Platform | Bigeye | Algoroo | Δ mentions |
|---|---|---|---|
| OpenAI | 2 rank 6.5 | 126 rank 5.98 | +124 |
| Anthropic | 0 | 91 rank 4.59 | +91 |
| 0 | 106 rank 6.11 | +106 |
| Bigeye | Algoroo | Δ | |
|---|---|---|---|
| Citations | 2 | 68 | +66 |
| Citation share | 0.0% | 0.5% | — |
| Blended Share of Voice | 0.0% | 1.1% | +1.1 |
Of 12,468 selected citations, all-time. Δ is Algoroo minus Bigeye (green means your owned brand leads); bars show citations by platform.
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-05-17 | OpenAI | Algorithm monitoring | 6 | — | Bigeye Better if the core problem starts in the data layer and you want observability, lineage, sensitivity controls, and AI policy enforcement together. (bigeye.com) |
| 2026-05-15 | OpenAI | Algorithm monitoring | 7 | — | Bigeye More data-observability-centric, but useful where algorithm monitoring depends heavily on trustworthy pipelines, anomaly detection, lineage, and AI trust controls. (bigeye.com) |