Showing
What the AI platforms say after searching the web.
Microsoft
Mention Share % (latest day)
0.8% -0.02 pp ▼
0.8% -0.02 pp ▼
Mentions (latest day)
1
1
Total Mentions
24
24
Avg Rank (latest day)
8.0
8.0
Latest tracking day
2026-07-03
2026-07-03
microsoft.com · google unverified
Daily Mentions Trendⓘ
Average Rankⓘ
By Platformⓘ
| Platform | Microsoft | Algoroo | Δ mentions |
|---|---|---|---|
| OpenAI | 10 rank 8.8 | 92 rank 6.87 | +82 |
| 3 rank 7.67 | 94 rank 6.64 | +91 | |
| Anthropic | 0 | 4 rank 4.5 | +4 |
Daily Citations Trendⓘ
Citation Shareⓘ
| Microsoft | Algoroo | Δ | |
|---|---|---|---|
| Citations | 2 | 14 | +12 |
| Citation share | 0.0% | 0.2% | — |
| Blended Share of Voice | 0.1% | 1.1% | +1.0 |
Of 6,706 selected citations, all-time. Δ is Algoroo minus Microsoft (green means your owned brand leads); bars show citations by platform.
Recent Mentionsⓘ
| Date | Platform | Mentioned For | Rank | Sentiment | Context |
|---|---|---|---|---|---|
| 2026-07-03 | OpenAI | Algorithm monitoring | 8 | — | Microsoft Azure Machine Learning Strong option for teams already on Azure needing model monitoring, responsible AI tooling, and enterprise controls. |
| 2026-06-18 | Algorithm monitoring | 6 | — | Microsoft Via Azure Machine Learning, this platform provides built-in MLOps capabilities to monitor predictive algorithms, track model lineage, and ensure responsible AI compliance. | |
| 2026-06-08 | OpenAI | Algorithm monitoring | 7 | — | Microsoft Azure Machine Learning A broad MLOps platform that can support algorithm monitoring through model management, responsible AI tooling, data drift checks, deployment monitoring, and integration with Azure’s observability stack. |
| 2026-06-02 | OpenAI | Algorithm monitoring | 10 | — | Microsoft Azure Machine Learning A strong option for Azure-based teams that need enterprise ML monitoring, responsible AI tooling, model lifecycle management, data drift detection, and integration with cloud governance and security controls. |
| 2026-05-30 | OpenAI | Algorithm monitoring | 9 | — | Microsoft Azure Machine Learning A solid option for teams already invested in Azure. Azure ML monitoring is commonly used for production ML lifecycle management, including model monitoring, data drift detection, deployment tracking, and enterprise governance. (devopsschool.com) |
| 2026-05-23 | OpenAI | Algorithm monitoring | 10 | — | Microsoft Azure AI A strong fit for organizations standardized on Azure, especially those using Azure ML, Azure OpenAI, or AI Foundry-style workflows. It supports AI observability, monitoring, dashboards, governance, RBAC, and integration with Azure Monitor. (vibeconnect.dev) |
| 2026-05-21 | OpenAI | Algorithm monitoring | 10 | — | Microsoft Azure Machine Learning Well suited for Azure-based teams that need model monitoring, data drift tracking, endpoint monitoring, registry integration, and enterprise governance. It is a strong option when algorithm monitoring must fit into Microsoft cloud, security, and compliance workflows. |
| 2026-05-20 | OpenAI | Algorithm monitoring | 10 | — | Microsoft Azure AI Good for Azure-based teams looking to monitor AI applications and models through Azure Machine Learning, Azure Monitor, responsible AI tooling, and enterprise governance integrations. |
| 2026-04-22 | OpenAI | Algorithm monitoring | 10 | — | Microsoft Azure Machine Learning |
| 2026-04-20 | OpenAI | Algorithm monitoring | 8 | — | Microsoft (Azure Machine Learning monitoring / Azure Monitor integrations) (coralogix.com) |
| 2026-04-19 | Rank volatility | 6 | — | Microsoft: Microsoft is relevant due to its search engine, Bing, and its ongoing developments in AI, which also contribute to the evolving search landscape and potential for rank volatility. | |
| 2026-04-18 | Algorithm monitoring | 11 | — | * Azure AI Monitor (part of Microsoft Azure Machine Learning) provides capabilities for monitoring and managing the entire machine learning process, including data preparation, model creation, deployment, and validation, with a focus on responsible AI. | |
| 2026-04-15 | OpenAI | Algorithm monitoring | 6 | — | Microsoft Azure Machine Learning — Azure ML observability patterns for monitoring and drift detection in Azure ecosystems. (techcommunity.microsoft.com) |