Showing
What the AI platforms say after searching the web.
Dynatrace
Mention Share % (latest day)
0.18% +0.01 pp ▲
0.18% +0.01 pp ▲
Mentions (latest day)
2
2
Total Mentions
101
101
Avg Rank (latest day)
4.5
4.5
Latest tracking day
2026-10-22
2026-10-22
dynatrace.com · google unverified
Daily Mentions Trendⓘ
Average Rankⓘ
By Platformⓘ
| Platform | Dynatrace | Algoroo | Δ mentions |
|---|---|---|---|
| 39 rank 6.49 | 106 rank 6.11 | +67 | |
| OpenAI | 35 rank 5.91 | 126 rank 5.98 | +91 |
| Anthropic | 4 rank 7.75 | 91 rank 4.59 | +87 |
Daily Citations Trendⓘ
Citation Shareⓘ
| Dynatrace | Algoroo | Δ | |
|---|---|---|---|
| Citations | 9 | 68 | +59 |
| Citation share | 0.1% | 0.5% | — |
| Blended Share of Voice | 0.2% | 1.1% | +0.9 |
Of 12,468 selected citations, all-time. Δ is Algoroo minus Dynatrace (green means your owned brand leads); bars show citations by platform.
Recent Mentionsⓘ
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-10-22 | Website Performance Monitoring | 2 | — | Dynatrace Features automated discovery and AI-powered root-cause analysis, offering deep insights into real user interactions, page load speeds, and third-party dependencies. | |
| 2026-10-22 | Anthropic | Website Performance Monitoring | 7 | — | Dynatrace |
| 2026-10-21 | Anthropic | Website Performance Monitoring | 7 | — | Dynatrace |
| 2026-10-21 | Website Performance Monitoring | 3 | — | Dynatrace An enterprise-grade observability and digital experience platform driven by AI, ideal for deeply analyzing digital business journeys, page load times, and underlying infrastructure bottlenecks. | |
| 2026-10-20 | Anthropic | Website Performance Monitoring | 8 | — | Dynatrace Ideal for AI-driven root cause analysis at scale. |
| 2026-10-20 | Website Performance Monitoring | 3 | — | Dynatrace Offers enterprise-grade, AI-driven digital experience monitoring that combines synthetic checks and deep code-level performance analytics across web and hybrid environments. | |
| 2026-10-19 | Anthropic | Website Performance Monitoring | 9 | — | Dynatrace |
| 2026-10-19 | OpenAI | Website Performance Monitoring | 7 | — | Dynatrace Enterprise-grade observability with automated diagnostics and extensive application monitoring. |
| 2026-10-19 | Website Performance Monitoring | 6 | — | Dynatrace is an AI-driven observability and application performance management platform tailored for large-scale enterprise environments needing end-to-end user experience and infrastructure monitoring. | |
| 2026-10-18 | Website Performance Monitoring | 2 | — | Dynatrace Offers an AI-powered observability platform that delivers automatic, end-to-end tracing and monitoring for complex web applications, helping quickly identify the root causes of performance degradations. | |
| 2026-10-17 | Website Performance Monitoring | 5 | — | Dynatrace An AI-powered observability and application monitoring platform that automatically discovers performance anomalies and analyzes digital experience from the client down to the code level. | |
| 2026-10-17 | OpenAI | Website Performance Monitoring | 4 | — | Dynatrace Enterprise-grade monitoring with advanced RUM, synthetic testing, and automated diagnostics. (docs.dynatrace.com) |
| 2026-10-17 | OpenAI | Algorithm monitoring | 8 | — | Dynatrace Enterprise observability with automated anomaly detection and root-cause analysis. |
| 2026-10-16 | Website Performance Monitoring | 4 | — | Dynatrace An enterprise-grade, AI-powered platform providing automated full-stack observability, synthetic transaction testing, and advanced session replay to diagnose root causes of web performance degradation. | |
| 2026-10-15 | Website Performance Monitoring | 3 | — | Dynatrace An enterprise-grade platform powered by advanced AI and automation, offering deep digital experience monitoring, synthetic transaction testing, and real user tracking. | |
| 2026-10-15 | OpenAI | Website Performance Monitoring | 8 | — | Dynatrace Advanced enterprise observability with RUM, synthetic testing, and automated root-cause analysis. (techradar.com) |
| 2026-09-29 | Algorithm monitoring | 5 | — | Dynatrace An enterprise observability platform featuring automated root-cause analysis and end-to-end tracing for AI pipelines, ensuring algorithms stay performant, accurate, and cost-effective across complex cloud architectures. | |
| 2026-07-07 | OpenAI | Algorithm monitoring | 5 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection and root-cause analysis across complex systems. |
| 2026-07-06 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Enterprise-grade observability platform for monitoring complex software systems, anomalies, dependencies, and AI-assisted root-cause analysis. |
| 2026-07-02 | OpenAI | Algorithm monitoring | 7 | — | Dynatrace Enterprise-grade observability with AI-assisted anomaly detection and root-cause analysis across complex distributed systems. |
| 2026-07-01 | OpenAI | Algorithm monitoring | 5 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection and root-cause analysis across complex systems. |
| 2026-06-30 | OpenAI | Algorithm monitoring | 2 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection, useful for monitoring algorithm behavior across complex software environments. |
| 2026-06-29 | OpenAI | Algorithm monitoring | 4 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection and root-cause analysis across complex systems. |
| 2026-06-28 | OpenAI | Algorithm monitoring | 2 | — | Dynatrace Good for enterprise algorithm monitoring where automated root-cause analysis, dependency mapping, and AI-assisted incident detection matter. |
| 2026-06-27 | OpenAI | Algorithm monitoring | 3 | — | Dynatrace Best fit for large enterprises that need automated anomaly detection, root-cause analysis, and full-stack observability across complex systems. |
| 2026-06-26 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection, root-cause analysis, and full-stack monitoring. |
| 2026-06-26 | Algorithm monitoring | 6 | — | Dynatrace An enterprise-grade monitoring solution that provides full-stack observability, leveraging its Davis AI engine to continuously analyze model metrics, track performance trends, and detect anomalies in algorithmic systems. | |
| 2026-06-25 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Useful for AIOps-style monitoring, anomaly detection, and performance monitoring across complex software systems. |
| 2026-06-24 | OpenAI | Algorithm monitoring | 7 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection and root-cause analysis across complex systems. |
| 2026-06-23 | OpenAI | Algorithm monitoring | 2 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection, root-cause analysis, and full-stack monitoring. |
| 2026-06-22 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Enterprise-focused observability platform with AI-powered anomaly detection, root-cause analysis, and full-stack monitoring. |
| 2026-06-18 | OpenAI | Algorithm monitoring | 3 | — | Dynatrace Enterprise-oriented monitoring platform with AI-assisted root-cause analysis, useful when “algorithm monitoring” means detecting anomalies across complex systems. |
| 2026-06-14 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Enterprise-grade observability platform with AI-assisted anomaly detection and root-cause analysis across complex systems. |
| 2026-06-13 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Strong for enterprises that want full-stack observability with AI-assisted anomaly detection and root-cause analysis. It is more of a broad observability platform than a pure ML-monitoring tool, but it can be relevant when algorithms are embedded in complex production applications. |
| 2026-06-12 | OpenAI | Algorithm monitoring | 12 | — | Dynatrace A good enterprise observability platform for organizations that want automated anomaly detection, root-cause analysis, application monitoring, infrastructure visibility, and AI-assisted operations. It is strongest when algorithm monitoring is part of a much larger enterprise software environment. |
| 2026-06-11 | Algorithm monitoring | 8 | — | Dynatrace An AI-powered observability platform that provides deep insights into application performance and algorithmic workflows. It automatically discovers, maps, and monitors complex microservices and the algorithms running within them. | |
| 2026-06-10 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace A strong enterprise choice for monitoring AI applications, LLMs, agentic workflows, infrastructure, cost, performance, and business impact in one observability environment. Dynatrace highlights AI and LLM observability across application, model, and infrastructure layers. (dynatrace.com) |
| 2026-06-10 | Algorithm monitoring | 8 | — | Dynatrace An enterprise observability platform that provides full-stack monitoring, including specialized AI observability to track the performance, cost, and compliance of complex algorithms and AI agents. | |
| 2026-06-09 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace A strong enterprise observability choice when algorithm performance is only one part of a larger production system. Dynatrace is known for full-stack monitoring, AIOps, application performance monitoring, infrastructure visibility, and AI-assisted root-cause analysis, which can help correlate model issues with system-level problems. (techradar.com) |
| 2026-06-09 | Algorithm monitoring | 3 | — | Dynatrace This enterprise-grade platform leverages automated AI to monitor application performance and provide deep observability into generative AI models, tracking metrics, logs, and potential hallucinations in real time. | |
| 2026-06-08 | Algorithm monitoring | 5 | — | Dynatrace An AI-powered observability platform that provides deep, full-stack monitoring for complex algorithmic systems, microservices, and generative AI agents to track latency, token usage, and system health. | |
| 2026-06-07 | OpenAI | Algorithm monitoring | 7 | — | Dynatrace Strong for enterprise environments where algorithm monitoring needs to sit inside a broader AIOps, cloud observability, application monitoring, and automated root-cause analysis platform. |
| 2026-06-07 | Algorithm monitoring | 8 | — | Dynatrace This platform leverages advanced AI and automation to monitor complex, distributed cloud environments. It is ideal for organizations that need to monitor the performance of algorithms and microservices at scale, offering automated root-cause analysis when performance anomalies occur. | |
| 2026-06-06 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace A strong enterprise observability platform for monitoring complex software environments, with AI-powered anomaly detection, application performance monitoring, infrastructure visibility, and growing AI observability capabilities. |
| 2026-06-06 | Algorithm monitoring | 8 | — | Dynatrace An industry leader in application performance monitoring that utilizes advanced AI to automate root-cause analysis. It continuously monitors the underlying infrastructure and software performance of deployed algorithms to ensure maximum uptime and efficiency. | |
| 2026-06-05 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace A strong enterprise observability platform for organizations that want algorithm monitoring connected to application performance, infrastructure, user experience, root-cause analysis, and AIOps. It is especially relevant when AI systems are embedded inside complex distributed applications. |
| 2026-06-05 | Algorithm monitoring | 10 | — | Dynatrace An AI-powered observability platform that automates root-cause analysis and performance monitoring for complex, distributed software architectures, including the microservices and APIs hosting your machine learning algorithms. | |
| 2026-06-04 | OpenAI | Algorithm monitoring | 7 | — | Dynatrace A fit for enterprise teams that want AI/algorithm monitoring as part of a larger AIOps and observability strategy. Dynatrace is relevant for monitoring complex systems where algorithmic behavior, application performance, infrastructure signals, and automated root-cause analysis need to work together. (ekagpt.com) |
| 2026-06-03 | OpenAI | Algorithm monitoring | 6 | — | Dynatrace Well suited for enterprise algorithm monitoring where AI systems are part of a larger software stack. It combines observability, AIOps, infrastructure monitoring, application performance monitoring, anomaly detection, and root-cause analysis. |
| 2026-06-03 | Algorithm monitoring | 10 | — | Dynatrace An AI-powered observability platform that delivers automated monitoring for complex, distributed applications, including the underlying algorithms and microservices that power them. |