AICW AI Chat Watch

AI Mentions & Sources Report for AI Mention Tracking Tools

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About rasa.com (AI Tools)

This page provides details about rasa.com (AI Tools) which was ranked #11 out of 90 in the list of sources (2 citations (2.7% 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: Rasa, Botpress, Google.

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Used by AI Models

Model Voice Position Citations
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Pages from rasa.com (1 link)

URL Path Citations Position
rasa.com 2 7.5

Brands Referenced By This Website (3 brands)

Brand Voice Mentions
Google Google 37.9% 10
Rasa Rasa 20.8% 7
Botpress Botpress 7.3% 3

Citations from AI Responses

Anthropic Claude Sonnet (latest) (1 citation)

How can I track AI chatbot responses across platforms?

[...] analytics dashboard - **[Microsoft Bot Framework](https://dev.botframework.com/)** - Framework with **[Application Insights](https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview)** integration for tracking ## **Open Source Options** ### 8. **Self-Hosted Solutions** - **[Rasa](https://rasa.com/)** - Open-source conversational AI with built-in event tracking - **[Botpress](https://botpress.com/)** - Open-source chatbot platform with analytics module - **[Chatwoot](https://www.chatwoot.com/)** - Open-source customer engagement suite with conversation tracking ## **Best Practices for Tracki [...]

rasa.com December 24, 2025

OpenAI ChatGPT Latest (1 citation)

How can I track AI chatbot responses across platforms?

[...] ram.org/bots/api) - If you use bot platforms/frameworks, add middleware/hooks to log events: - Microsoft Bot Framework (https://learn.microsoft.com/azure/bot-service/bot-builder-overview?view=azure-bot-service-4.0) - Dialogflow CX (https://cloud.google.com/dialogflow/cx) - Rasa (open source) (https://rasa.com/docs/rasa) - Botpress (https://botpress.com/) 3) Attach model-level telemetry for LLM calls - Persist the provider request ID to correlate failures and measure latency/cost: - OpenAI x-request-id (https://platform.openai.com/docs/guides/rate-limits/retrying-requests) - Anthropic request IDs (https://d [...]

rasa.com December 24, 2025