AI Mentions & Sources Report for AI Mention Tracking Tools
Track Your AI VisibilityAI Mentions & Sources Report for AI Mention Tracking Tools
This page provides details about cloud.google.com (Tech Companies) which was ranked #10 out of 162 in the list of sources (4 citations (1.9% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 2 questions: "How can I track AI chatbot responses across platforms?", "Which tools provide real-time AI monitoring and alerts?" on Dec 24, 2025 by AI Chat Watch. This source is referenced for brands: Drift, Google BigQuery, Rasa, Google Cloud Monitoring, Google Cloud Vertex AI Model Monitoring +1 more.
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| URL Path | Citations | Position |
|---|---|---|
| 0 | N/A | |
| /monitoring | 1 | 29 |
| /vertex-ai/docs/model-monitoring/overview | 1 | 32 |
| /bigquery | 2 | 60 |
| Brand | Voice | Mentions |
|---|---|---|
|
|
39.9% | 21 |
|
|
20.8% | 14 |
|
|
9.9% | 7 |
| Google Cloud Monitoring | 1.1% | 1 |
| Google BigQuery | 0% | 1 |
| Google Cloud Vertex AI Model Monitoring | 0% | 0 |
How can I track AI chatbot responses across platforms?
[...] ng, monitoring, and analyzing machine-generated data ### 4. **Database Solutions** - **[MongoDB](https://www.mongodb.com/)** - NoSQL database commonly used to store conversation logs - **[PostgreSQL](https://www.postgresql.org/)** - Relational database for structured conversation data storage - **[Google BigQuery](https://cloud.google.com/bigquery)** - Data warehouse for analyzing large-scale chatbot interaction data ## **API-Based Tracking** ### 5. **Integration Platforms** - **[Zapier](https://zapier.com/)** - Connect different chatbot platforms and send conversation data to your tracking tools - **[Make (formerly Integromat)](https://w [...]
How can I track AI chatbot responses across platforms?
[...] ww.datadoghq.com/) - Splunk (https://www.splunk.com/) - New Relic (https://newrelic.com/) - Product analytics/warehouse path (great for funnels, cohorts, experimentation): - Event router/CDP: Segment (https://segment.com/) or RudderStack (https://www.rudderstack.com/) - Warehouse: BigQuery (https://cloud.google.com/bigquery) or Snowflake (https://www.snowflake.com/) - BI: Metabase (https://www.metabase.com/) or Apache Superset (https://superset.apache.org/) - Product analytics: Mixpanel (https://mixpanel.com/) or Amplitude (https://amplitude.com/) 5) Add an LLM observability layer for prompt/response replay, comp [...]
Which tools provide real-time AI monitoring and alerts?
[...] icrosoft.com/products/monitor/ - Azure Machine Learning — Managed ML platform with monitoring integrations and alerting through Azure Monitor. https://azure.microsoft.com/products/machine-learning/ - Google Cloud Monitoring (Ops) — Time-series monitoring and alerting; integrates with AI services. https://cloud.google.com/monitoring - Vertex AI Model Monitoring — Drift/performance monitors with alerting via Cloud Monitoring. https://cloud.google.com/vertex-ai/docs/model-monitoring/overview ML/LLM observability platforms (production ML/LLM performance, drift, data quality, cost, and user metrics with alerting) - WhyLabs — ML [...]
[...] ure Monitor. https://azure.microsoft.com/products/machine-learning/ - Google Cloud Monitoring (Ops) — Time-series monitoring and alerting; integrates with AI services. https://cloud.google.com/monitoring - Vertex AI Model Monitoring — Drift/performance monitors with alerting via Cloud Monitoring. https://cloud.google.com/vertex-ai/docs/model-monitoring/overview ML/LLM observability platforms (production ML/LLM performance, drift, data quality, cost, and user metrics with alerting) - WhyLabs — ML/LLM observability (whylogs) with real-time data quality and drift monitoring + alerts. https://whylabs.ai/ - Arize AI — ML and LLM observability (embeddings, qua [...]