AICW AI Chat Watch

AI Mentions & Sources Report for AI Mention Tracking Tools

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About cloud.google.com (Tech Companies)

This page provides details about cloud.google.com (Tech Companies) which was ranked #14 out of 90 in the list of sources (2 citations (2.4% share)) in answers from AI models (Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest) when they were asked the following 1 question: "How can I track AI chatbot responses across platforms?" on Dec 24, 2025 by AI Chat Watch. This source is referenced for brands: Google BigQuery, Rasa, Google.

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Used by AI Models

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Pages from cloud.google.com (1 link)

URL Path Citations Position
/bigquery 2 20.7

Brands Referenced By This Website (3 brands)

Brand Voice Mentions
Google Google 37.9% 10
Rasa Rasa 20.8% 7
Google BigQuery Google BigQuery 0.1% 1

Citations from AI Responses

Anthropic Claude Sonnet (latest) (1 citation)

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 [...]

cloud.google.com/bigquery December 24, 2025

OpenAI ChatGPT Latest (1 citation)

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 [...]

cloud.google.com/bigquery December 24, 2025