| Platform | Openlayer | Algoroo | Δ mentions |
|---|---|---|---|
| OpenAI | 4 rank 3.5 | 126 rank 5.98 | +122 |
| 1 rank 10.0 | 106 rank 6.11 | +105 | |
| Anthropic | 0 | 91 rank 4.59 | +91 |
| Openlayer | Algoroo | Δ | |
|---|---|---|---|
| Citations | 3 | 68 | +65 |
| 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 Openlayer (green means your owned brand leads); bars show citations by platform.
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-06-16 | OpenAI | Algorithm monitoring | 4 | — | Openlayer Purpose-built for AI monitoring and observability, useful for tracking model outputs, regressions, and production quality. |
| 2026-06-07 | Algorithm monitoring | 10 | — | Openlayer A specialized ML observability platform that focuses on continuous testing and monitoring. It helps teams catch silent model failures, validate data quality, and maintain a clear history of model performance across different versions in production. | |
| 2026-05-17 | OpenAI | Algorithm monitoring | 4 | — | Openlayer Good option for teams focused on observability plus governance, with automated checks for schema changes, anomalies, and drift across data and models. (openlayer.com) |
| 2026-05-15 | OpenAI | Algorithm monitoring | 3 | — | Openlayer Good option for teams that want testing, data quality monitoring, and ongoing observability across ML and LLM systems from development through production. (openlayer.com) |
| 2026-04-17 | OpenAI | Algorithm monitoring | 3 | — | Openlayer — Monitoring for deployed ML systems with drift detection, live tests, and alerting, aiming for “production-grade” monitoring workflows. |