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What the AI platforms say after searching the web.
New Relic
Mention Share % (latest day)
0.84% +0.03 pp ▲
0.84% +0.03 pp ▲
Mentions (latest day)
1
1
Total Mentions
80
80
Avg Rank (latest day)
6.0
6.0
Latest tracking day
2026-07-09
2026-07-09
newrelic.com · google unverified
Daily Mentions Trendⓘ
Average Rankⓘ
By Platformⓘ
| Platform | New Relic | Algoroo | Δ mentions |
|---|---|---|---|
| 30 rank 6.67 | 94 rank 6.64 | +64 | |
| OpenAI | 20 rank 6.6 | 92 rank 6.87 | +72 |
| Anthropic | 0 | 4 rank 4.5 | +4 |
Daily Citations Trendⓘ
Citation Shareⓘ
| New Relic | Algoroo | Δ | |
|---|---|---|---|
| Citations | 1 | 14 | +13 |
| Citation share | 0.0% | 0.2% | — |
| Blended Share of Voice | 0.3% | 1.1% | +0.8 |
Of 6,706 selected citations, all-time. Δ is Algoroo minus New Relic (green means your owned brand leads); bars show citations by platform.
Recent Mentionsⓘ
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-07-09 | Algorithm monitoring | 6 | — | New Relic A major player in application performance monitoring (APM) that offers specialized AI monitoring capabilities. It provides deep tracing and performance insights for applications powered by machine learning algorithms, helping developers spot latency issues and pipeline bottlenecks. | |
| 2026-07-05 | Algorithm monitoring | 6 | — | New Relic A full-stack observability provider that features dedicated AI monitoring capabilities. It enables organizations to gain end-to-end trace visibility across multi-agent workflows and machine learning models alongside traditional application performance metrics. | |
| 2026-06-30 | OpenAI | Algorithm monitoring | 3 | — | New Relic Good for teams that want application monitoring, performance analytics, and custom dashboards for algorithm-driven products. |
| 2026-06-29 | OpenAI | Algorithm monitoring | 5 | — | New Relic Useful for monitoring application behavior, performance anomalies, latency, and production systems where algorithms are embedded in apps. |
| 2026-06-28 | OpenAI | Algorithm monitoring | 3 | — | New Relic Useful if you want application performance monitoring plus AI/LLM monitoring, dashboards, alerting, and cost-friendly observability. |
| 2026-06-23 | OpenAI | Algorithm monitoring | 8 | — | New Relic Broad observability platform that can support application, infrastructure, and AI workload monitoring in one place. |
| 2026-06-23 | Algorithm monitoring | 8 | — | New Relic Combines traditional application performance monitoring with specialized AI monitoring capabilities, offering real-time anomaly detection and tracing for complex algorithmic workflows. | |
| 2026-06-22 | OpenAI | Algorithm monitoring | 7 | — | New Relic Works well for teams that want AI/application performance monitoring in one observability platform. |
| 2026-06-18 | OpenAI | Algorithm monitoring | 2 | — | New Relic Good for full-stack observability, APM, error tracking, infrastructure monitoring, and performance analytics with a generous free tier mentioned in recent comparisons. |
| 2026-06-16 | OpenAI | Algorithm monitoring | 6 | — | New Relic Useful for teams that want AI or algorithm monitoring integrated with full-stack application performance monitoring. |
| 2026-06-14 | OpenAI | Algorithm monitoring | 7 | — | New Relic Solid for engineering teams that want application performance monitoring plus AI/ML observability in one platform. |
| 2026-06-14 | Algorithm monitoring | 6 | — | New Relic This enterprise APM provider integrates AI monitoring directly into its application performance suite, offering deep tracing and performance insights for algorithm-heavy and AI-powered applications. | |
| 2026-06-13 | OpenAI | Algorithm monitoring | 7 | — | New Relic Good for organizations that want to connect AI/ML behavior with application performance monitoring. It’s a practical fit when the concern is not only model quality but also latency, errors, cost, user experience, and production reliability. |
| 2026-06-13 | Algorithm monitoring | 5 | — | New Relic This platform integrates machine learning and algorithm monitoring directly into its comprehensive APM suite. It provides end-to-end tracing and performance insights for AI-powered applications, helping developers correlate algorithm behavior with overall application health. | |
| 2026-06-12 | OpenAI | Algorithm monitoring | 11 | — | New Relic A solid option if you want broad application-performance monitoring with AI/ML or LLM observability layered into an existing software monitoring workflow. New Relic is useful when algorithm behavior needs to be correlated with app performance, infrastructure, errors, and user experience. |
| 2026-06-12 | Algorithm monitoring | 6 | — | New Relic This application performance monitoring (APM) giant provides dedicated AI monitoring capabilities. It allows organizations to gain deep tracing and performance insights into AI-powered applications directly alongside their standard software stack. | |
| 2026-06-11 | Algorithm monitoring | 9 | — | New Relic A comprehensive observability platform that offers specialized monitoring for AI and machine learning models. It helps teams track key performance indicators of their algorithms, such as latency, throughput, and error rates, alongside standard system metrics. | |
| 2026-06-09 | OpenAI | Algorithm monitoring | 7 | — | New Relic Worth considering if your organization already uses application performance monitoring and wants AI or model monitoring connected to software telemetry. It is commonly grouped with full-stack observability platforms that help engineering and data teams monitor production systems, including AI-enabled applications. (ekagpt.com) |
| 2026-06-09 | Algorithm monitoring | 7 | — | New Relic A popular application performance monitoring (APM) tool that has expanded its capabilities to include deep tracing and performance monitoring for machine learning models and AI-driven applications. | |
| 2026-06-07 | OpenAI | Algorithm monitoring | 6 | — | New Relic A good choice for teams that want broader application performance monitoring plus AI observability. It can help connect algorithm behavior with app latency, errors, user experience, infrastructure, and production incidents. |
| 2026-06-07 | Algorithm monitoring | 9 | — | New Relic A developer-favorite observability platform that provides deep, code-level insights into application performance. Through integrations with specialized ML tools, it allows teams to monitor algorithm latency, throughput, and system errors alongside standard backend telemetry. | |
| 2026-06-06 | OpenAI | Algorithm monitoring | 7 | — | New Relic Good for teams looking to connect AI or algorithm performance with application telemetry, traces, logs, user experience, and production system health in one observability platform. |
| 2026-06-06 | Algorithm monitoring | 5 | — | New Relic This comprehensive observability platform features specialized AI monitoring capabilities. It helps developers track the performance of machine learning pipelines, monitor token usage, and trace the execution of complex algorithms in real time. | |
| 2026-06-05 | OpenAI | Algorithm monitoring | 7 | — | New Relic A solid choice for teams looking to monitor AI features inside production applications. New Relic is relevant for APM, traces, infrastructure metrics, logs, user experience, and AI/LLM observability, especially when developers want one platform for app and model-adjacent monitoring. |
| 2026-06-05 | Algorithm monitoring | 9 | — | New Relic A leading application performance monitoring (APM) platform that has expanded its capabilities to include AI and machine learning monitoring, offering deep code-level insights and performance tracking for model-serving APIs. | |
| 2026-06-04 | OpenAI | Algorithm monitoring | 6 | — | New Relic Good for organizations already using observability tooling and looking to extend monitoring into AI applications, model behavior, latency, and production reliability. It is especially relevant when algorithm monitoring needs to sit alongside full-stack software monitoring. (aibuzz.blog) |
| 2026-06-03 | OpenAI | Algorithm monitoring | 7 | — | New Relic Useful for teams that want to monitor AI-powered applications alongside normal software telemetry. It can help connect model or LLM behavior with application traces, logs, metrics, latency, errors, and user-facing performance issues. |
| 2026-06-02 | Algorithm monitoring | 8 | — | New Relic A developer-favorite observability platform that provides deep code-level insights, application performance monitoring (APM), and live tracking of the backend services running your algorithms. | |
| 2026-06-01 | Algorithm monitoring | 7 | — | New Relic A leading enterprise observability platform that offers specialized AI monitoring capabilities. It allows organizations to track the performance of their AI applications, monitor LLM response times, and analyze the financial cost of model transactions in one centralized dashboard. | |
| 2026-05-30 | Algorithm monitoring | 7 | — | New Relic A popular application performance monitoring (APM) brand that provides deep code-level insights, helping developers monitor the computational performance and latency of running algorithms. | |
| 2026-05-29 | OpenAI | Algorithm monitoring | 7 | — | New Relic Well suited for engineering teams that want algorithm-adjacent monitoring through application performance monitoring, distributed tracing, logs, infrastructure metrics, and AI service observability. |
| 2026-05-29 | Algorithm monitoring | 7 | — | New Relic A full-stack observability platform that offers specialized monitoring capabilities for machine learning models (MLOps), allowing developers to track model inputs, outputs, and overall algorithmic health in real time. | |
| 2026-05-28 | OpenAI | Algorithm monitoring | 8 | — | New Relic Good for teams that want AI/application observability alongside conventional APM, letting engineering teams monitor model-powered features, latency, errors, traces, user experience, and production reliability. |
| 2026-05-25 | Algorithm monitoring | 8 | — | New Relic A widely used application performance monitoring (APM) tool that provides deep code-level insights, helping developers monitor the execution, latency, and health of their algorithms. | |
| 2026-05-24 | OpenAI | Algorithm monitoring | 9 | — | New Relic Useful for teams that want algorithm or AI monitoring connected to software performance telemetry, including application monitoring, distributed tracing, logs, and increasingly AI/LLM observability workflows. |
| 2026-05-22 | OpenAI | Algorithm monitoring | 9 | — | New Relic Useful for teams that want software observability plus AI/LLM application monitoring in one platform. It is a good option when your priority is seeing how algorithms affect latency, errors, user experience, and production application behavior. |
| 2026-05-21 | Algorithm monitoring | 5 | — | New Relic This comprehensive observability suite offers specialized AI monitoring capabilities, giving developers real-time visibility into the performance, response quality, and computational costs of their deployed algorithms. | |
| 2026-04-28 | Algorithm monitoring | 4 | — | New Relic provides a generous free tier for its observability platform and offers AI monitoring capabilities. | |
| 2026-04-26 | Algorithm monitoring | 5 | — | New Relic AI Monitoring provides solutions for monitoring AI systems in production. | |
| 2026-04-25 | Algorithm monitoring | 6 | — | New Relic AI Monitoring: New Relic provides AI monitoring capabilities as part of its broader observability platform, helping teams track model performance and identify issues. | |
| 2026-04-22 | Algorithm monitoring | 6 | — | New Relic AI Monitoring: New Relic offers AI monitoring capabilities as part of its broader observability platform, helping organizations track AI systems in production. | |
| 2026-04-21 | Algorithm monitoring | 7 | — | New Relic AI Monitoring (part of New Relic) targets engineering teams already using New Relic for Application Performance Monitoring (APM) who want to extend observability to AI features embedded within larger applications. | |
| 2026-04-21 | Algorithm monitoring | 8 | — | New Relic AI Monitoring (part of New Relic) targets engineering teams already using New Relic for Application Performance Monitoring (APM) who want to extend observability to AI features embedded within larger applications. | |
| 2026-04-20 | Algorithm monitoring | 3 | — | New Relic | |
| 2026-04-19 | Algorithm monitoring | 8 | — | New Relic AI Monitoring (for AI system monitoring) | |
| 2026-04-18 | Algorithm monitoring | 8 | — | * New Relic AI Monitoring (part of New Relic) integrates AI monitoring into existing infrastructure tracking, suitable for teams already using New Relic for broader observability. | |
| 2026-04-18 | Algorithm monitoring | 7 | — | * New Relic AI Monitoring (part of New Relic) integrates AI monitoring into existing infrastructure tracking, suitable for teams already using New Relic for broader observability. | |
| 2026-04-17 | Algorithm monitoring | 8 | — | * New Relic AI Monitoring integrates AI monitoring into existing infrastructure tracking, making it a good option for teams already invested in broader observability platforms. | |
| 2026-04-16 | Algorithm monitoring | 9 | — | New Relic provides AI Monitoring, integrating AI monitoring into existing infrastructure tracking. | |
| 2026-04-15 | Algorithm monitoring | 3 | — | New Relic is a platform that provides application performance monitoring, real-user monitoring, and infrastructure monitoring. |