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 #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.
| Model | Voice | Position | Citations |
|---|---|---|---|
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|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| URL Path | Citations | Position |
|---|---|---|
| /bigquery | 2 | 20.7 |
| Brand | Voice | Mentions |
|---|---|---|
|
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37.9% | 10 |
|
|
20.8% | 7 |
|
|
0.1% | 1 |
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 [...]