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What the AI platforms say after searching the web.
Datadog
Mention Share % (latest day)
1.56% -0.12 pp ▼
1.56% -0.12 pp ▼
Mentions (latest day)
3
3
Total Mentions
158
158
Avg Rank (latest day)
6.0
6.0
Latest tracking day
2026-09-29
2026-09-29
datadoghq.com · authority unverified
Daily Mentions Trendⓘ
Average Rankⓘ
By Platformⓘ
| Platform | Datadog | Algoroo | Δ mentions |
|---|---|---|---|
| 69 rank 5.14 | 94 rank 6.64 | +25 | |
| OpenAI | 53 rank 5.04 | 92 rank 6.87 | +39 |
| Anthropic | 1 rank 8.0 | 4 rank 4.5 | +3 |
Daily Citations Trendⓘ
Citation Shareⓘ
| Datadog | Algoroo | Δ | |
|---|---|---|---|
| Citations | 6 | 14 | +8 |
| Citation share | 0.1% | 0.2% | — |
| Blended Share of Voice | 0.7% | 1.1% | +0.4 |
Of 6,706 selected citations, all-time. Δ is Algoroo minus Datadog (green means your owned brand leads); bars show citations by platform.
Recent Mentionsⓘ
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-09-29 | Anthropic | Algorithm monitoring | 8 | — | Datadog If you want to unify algorithm monitoring with broader infrastructure observability, Datadog lets you centralize everything — |
| 2026-09-29 | OpenAI | Algorithm monitoring | 6 | — | Datadog Integrates AI monitoring with broader application and infrastructure observability. (top100.ai) |
| 2026-09-29 | Algorithm monitoring | 4 | — | Datadog A comprehensive cloud monitoring giant that provides specialized ML and LLM observability, allowing teams to correlate algorithm performance metrics directly with underlying infrastructure and application health. | |
| 2026-07-09 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if you want algorithm monitoring alongside broader infrastructure, application, and log observability. |
| 2026-07-09 | Algorithm monitoring | 5 | — | Datadog A comprehensive cloud observability platform that has expanded into AI and LLM monitoring. It allows organizations to correlate algorithmic performance with underlying infrastructure metrics, application logs, and system health in a single pane of glass. | |
| 2026-07-08 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if you want broader infrastructure, application, and AI/ML monitoring in one observability stack. |
| 2026-07-08 | Algorithm monitoring | 5 | — | Datadog A comprehensive SaaS observability platform that extends its traditional application performance monitoring (APM) and infrastructure tracking to include dedicated LLM and AI observability modules. | |
| 2026-07-07 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong choice for engineering teams that want AI/LLM monitoring alongside infrastructure, APM, logs, cost, latency, and production alerts. |
| 2026-07-07 | Algorithm monitoring | 4 | — | Datadog A giant in the observability space, this platform offers specialized AI and LLM monitoring modules. It seamlessly integrates algorithm performance tracking—such as token usage, latency, and error rates—with broader infrastructure and application performance metrics. | |
| 2026-07-06 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if your “algorithm monitoring” also includes application, infrastructure, API, and production system observability. |
| 2026-07-06 | Algorithm monitoring | 4 | — | Datadog A comprehensive observability platform that offers specialized monitoring for machine learning and generative AI workloads, tracking LLM interactions, token usage, latency, and system-level performance in a unified dashboard. | |
| 2026-07-05 | OpenAI | Algorithm monitoring | 6 | — | Datadog Strong general observability platform with AI/LLM monitoring capabilities for engineering teams already using infrastructure and app monitoring. |
| 2026-07-05 | Algorithm monitoring | 4 | — | Datadog A comprehensive cloud monitoring and APM platform that offers specialized LLM and AI observability. It allows engineering teams to correlate algorithm performance and token usage directly with underlying infrastructure metrics and application health. | |
| 2026-07-04 | OpenAI | Algorithm monitoring | 4 | — | Datadog Broad observability platform with AI/LLM monitoring layered into infrastructure, logs, traces, latency, and cost tracking. |
| 2026-07-04 | Algorithm monitoring | 7 | — | Datadog A comprehensive cloud monitoring and observability platform that has expanded into AI and LLM observability. It allows DevOps and MLOps teams to correlate algorithmic performance metrics with underlying infrastructure health, application performance, and system logs in a single pane of glass. | |
| 2026-07-03 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if you want algorithm/AI monitoring integrated with broader application, infrastructure, log, and cloud observability. |
| 2026-07-03 | Algorithm monitoring | 4 | — | Datadog A major player in the broader observability space, this brand offers a mature LLM and machine learning monitoring suite. It allows teams to correlate algorithm performance directly with infrastructure health, tracking inputs, tool invocations, and token spend in a unified dashboard. | |
| 2026-07-02 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong for broad infrastructure, application, and AI/LLM observability; useful if “algorithm monitoring” means monitoring production systems, latency, drift signals, and alerts. |
| 2026-07-02 | Algorithm monitoring | 5 | — | Datadog Provides unified monitoring and observability that extends into the machine learning space, offering specialized tracking for LLMs, application latency, token usage, and infrastructure health in a single pane of glass. | |
| 2026-07-01 | Algorithm monitoring | 6 | — | Datadog A giant in cloud monitoring that offers dedicated AI and LLM observability modules. It is ideal for engineering teams that want to correlate algorithmic performance metrics (like model drift or hallucination rates) directly with underlying infrastructure health and application performance. | |
| 2026-07-01 | OpenAI | Algorithm monitoring | 4 | — | Datadog Best if you want algorithm or LLM monitoring alongside broader application, infrastructure, logs, and cloud observability. |
| 2026-06-30 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong choice for monitoring algorithms in production, especially ML/AI systems, application performance, logs, traces, and alerting. |
| 2026-06-30 | Algorithm monitoring | 4 | — | Datadog Features specialized AI and LLM observability capabilities integrated directly into its broader cloud monitoring ecosystem. It allows teams to correlate algorithm performance, token usage, and latency with underlying infrastructure metrics for full-stack visibility. | |
| 2026-06-29 | OpenAI | Algorithm monitoring | 3 | — | Datadog Best if you want algorithm monitoring alongside broader infrastructure, application, logs, metrics, and APM observability. |
| 2026-06-29 | Algorithm monitoring | 7 | — | Datadog A giant in traditional application monitoring that has expanded into AI observability, offering dedicated LLM tracing, cost tracking, and semantic cluster maps to group and analyze model traffic. | |
| 2026-06-28 | Algorithm monitoring | 5 | — | Datadog A giant in full-stack observability, this platform features dedicated AI and LLM monitoring capabilities. It allows teams to correlate algorithm performance with underlying infrastructure metrics, application traces, and operational logs in a unified dashboard. | |
| 2026-06-28 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong choice for full-stack algorithm, application, infrastructure, log, trace, and anomaly monitoring—especially for cloud-native teams that want one observability platform. |
| 2026-06-27 | OpenAI | Algorithm monitoring | 2 | — | Datadog Good if you want algorithm monitoring alongside infrastructure, logs, APM, security, and cloud metrics in one enterprise observability platform. |
| 2026-06-27 | Algorithm monitoring | 5 | — | Datadog A comprehensive cloud-scale monitoring platform that offers specialized ML Observability. It allows organizations to correlate algorithm performance and model drift directly with underlying system infrastructure, application performance, and operational metrics in a single pane of glass. | |
| 2026-06-26 | OpenAI | Algorithm monitoring | 2 | — | Datadog Best if you already use Datadog for infrastructure/APM and want algorithm or LLM monitoring tied into broader system observability. |
| 2026-06-26 | Algorithm monitoring | 5 | — | Datadog A comprehensive observability suite that integrates machine learning monitoring into its broader infrastructure and application performance tracking, utilizing its Watchdog engine to surface algorithmic anomalies across your entire stack. | |
| 2026-06-25 | OpenAI | Algorithm monitoring | 5 | — | Datadog Broad infrastructure and application monitoring platform that can also support ML/AI system observability. |
| 2026-06-24 | OpenAI | Algorithm monitoring | 6 | — | Datadog Best if you want algorithm monitoring alongside broader infrastructure, application, logs, and APM observability. |
| 2026-06-24 | Algorithm monitoring | 4 | — | Datadog A giant in the application performance monitoring (APM) space, this brand offers specialized AI and LLM observability tools to track token usage, latency, error rates, and infrastructure health supporting your algorithms. | |
| 2026-06-23 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong for end-to-end observability, including infrastructure, application, logs, APM, and LLM/AI monitoring for production systems. |
| 2026-06-23 | Algorithm monitoring | 7 | — | Datadog Delivers comprehensive AI and LLM observability integrated directly into its broader APM suite, allowing teams to monitor algorithmic performance alongside underlying infrastructure metrics. | |
| 2026-06-22 | Algorithm monitoring | 6 | — | Datadog A major player in full-stack observability, this platform utilizes its Watchdog anomaly detection and Bits AI assistant to monitor, correlate, and troubleshoot metrics, traces, and logs across infrastructure and machine learning models. | |
| 2026-06-22 | OpenAI | Algorithm monitoring | 5 | — | Datadog Good option if algorithm monitoring needs to sit alongside broader application, infrastructure, and LLM observability. |
| 2026-06-21 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if you want algorithm or ML monitoring tied into broader application, infrastructure, and observability workflows. |
| 2026-06-21 | Algorithm monitoring | 6 | — | Datadog A comprehensive monitoring and security platform that offers specialized AI and LLM observability, allowing teams to correlate algorithmic performance with underlying infrastructure metrics and application performance. | |
| 2026-06-20 | OpenAI | Algorithm monitoring | 6 | — | Datadog Best fit if you already use broader infrastructure/application monitoring and want to add AI or LLM observability into the same operational stack. |
| 2026-06-20 | Algorithm monitoring | 5 | — | Datadog A comprehensive cloud monitoring and security platform that offers specialized AI and LLM observability features. It allows organizations to correlate algorithmic performance and model drift with underlying infrastructure metrics in a single pane of glass. | |
| 2026-06-19 | OpenAI | Algorithm monitoring | 4 | — | Datadog Useful if you want algorithm/model monitoring alongside broader application, infrastructure, and log observability. |
| 2026-06-19 | Algorithm monitoring | 6 | — | Datadog A major player in cloud monitoring and observability that has expanded its suite to include specialized AI and LLM observability. It allows teams to correlate machine learning model performance directly with underlying infrastructure metrics, application performance, and system logs. | |
| 2026-06-18 | OpenAI | Algorithm monitoring | 1 | — | Datadog Strong choice for broad application, infrastructure, log, APM, and LLM observability in one platform; good for teams already running production services at scale. |
| 2026-06-18 | Algorithm monitoring | 3 | — | Datadog Originally a general-purpose cloud monitoring tool, this platform has expanded to offer robust ML and LLM monitoring, allowing teams to track algorithm performance, system resource utilization, and data pipelines in a single unified dashboard. | |
| 2026-06-17 | OpenAI | Algorithm monitoring | 7 | — | Datadog Best if you want algorithm monitoring connected to broader infrastructure, logs, APM, and production observability. |
| 2026-06-17 | Algorithm monitoring | 5 | — | Datadog A comprehensive monitoring suite that offers specialized LLM and machine learning observability, allowing teams to track model latency, token usage, and overall application performance in tandem with traditional infrastructure metrics. | |
| 2026-06-16 | Algorithm monitoring | 5 | — | Datadog A comprehensive observability suite that extends its traditional infrastructure and application performance monitoring to cover machine learning and LLM applications. It allows teams to correlate algorithm latency and model errors directly with broader system metrics and server performance. | |
| 2026-06-16 | OpenAI | Algorithm monitoring | 5 | — | Datadog Best if you want algorithm/model monitoring alongside broader infrastructure, application, and log observability. |