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 langfuse.com (AI Tools) which was ranked #1 out of 90 in the list of sources (8 citations (20.1% share)) in answers from AI models (Perplexity Sonar (with search) (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: Dashbot, Rasa, Langfuse, Botium, SEOmonitor +3 more.
| Model | Voice | Position | Citations |
|---|---|---|---|
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{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| URL Path | Citations | Position |
|---|---|---|
| langfuse.com | 1 | 4 |
| /faq/all/chatbot-analytics | 7 | 24.9 |
| Brand | Voice | Mentions |
|---|---|---|
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56.8% | 13 |
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47.8% | 8 |
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37.9% | 10 |
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29.6% | 11 |
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20.8% | 7 |
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0.5% | 3 |
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0.2% | 2 |
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0% | 0 |
How can I track AI chatbot responses across platforms?
[...] **Botium**, which aggregate data from sources such as Facebook Messenger, Google Assistant, Amazon Alexa, and Rasa for unified monitoring of conversations, metrics, and performance[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools)[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). ### Key Tools for Cross-Platform Tracking These tools support integration across multiple chatbot platforms, enabling centralized logging, visualization, and analysis of responses: - **Dashbot (Dimension Labs)**: Tracks KPIs like user engagement, conversation history, and retention across Faceb [...]
[...] cing, performance metrics (e.g., response times, error rates), anomaly detection, and unified data aggregation. Use the `@observe()` decorator for Python LLM apps or OpenAI integration; supports any LLM. Official site: https://langfuse.com/[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). - **Botium**: Automates testing and tracks conversation flows across various chatbots/virtual assistants. Free version includes live chat recorder and visual editors; official site: https://www.botium.ai/[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/t [...]
[...] Alexa, Assistant, Rasa+ | Engagement, retention, history | Broad production analytics[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools) | | Langfuse | Any LLM/Python apps | Logs, traces, errors, anomalies | Developer observability[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics) | | SE Ranking | ChatGPT-focused | Brand mentions, prompts, trends | Visibility in generative AI[16 Best ChatGPT Tracking Tools in 2025 [Comparison List]](https://www.atomicagi.com/blog/best-chatgpt-tracking-tools-2025) | ### Essential Metrics to Track Focus on these cross-platform-compatible KPI [...]
[...] ck-whether-your-ai-is-performing-good-customer-service/). ### Implementation Steps 1. Integrate via APIs or SDKs (e.g., Langfuse's OpenAI wrapper or Dashbot's platform connectors)[The Top Chatbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools)[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). 2. Log user inputs/responses centrally for anomaly detection and compliance checks[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). 3. Visualize dashboards for real-time monitoring (e.g., ProProfs Chat or YourGPT AI dashboards)[Top 20 Ana [...]
[...] atbot Analytics Tools to Drive Conversion and ...](https://masterofcode.com/blog/top-chatbot-analytics-tools)[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). 2. Log user inputs/responses centrally for anomaly detection and compliance checks[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). 3. Visualize dashboards for real-time monitoring (e.g., ProProfs Chat or YourGPT AI dashboards)[Top 20 Analytic Metrics to Monitor Your Chatbot Success](https://www.proprofschat.com/blog/chatbot-analytics/)[7 Essential Chatbot Analytics to Track [in 2025] - YourGPT AI](https://yourgpt.ai/blog/gen [...]
[...] ls). - **Langfuse**: Provides observability for chatbot systems with logging, tracing, performance metrics (e.g., response times, error rates), anomaly detection, and unified data aggregation. Use the `@observe()` decorator for Python LLM apps or OpenAI integration; supports any LLM. Official site: https://langfuse.com/[Chatbot Monitoring with Advanced Observability - Langfuse](https://langfuse.com/faq/all/chatbot-analytics). - **Botium**: Automates testing and tracks conversation flows across various chatbots/virtual assistants. Free version includes live chat recorder and visual editors; official site: https://www.botiu [...]
How can I track AI chatbot responses across platforms?
[...] - 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, comparisons, evals - Langfuse (open source/SaaS) (https://langfuse.com/) - LangSmith (LangChain) (https://www.langchain.com/langsmith) - Helicone (proxy-based logging/cost/latency) (https://www.helicone.ai/) 6) Build your dashboards and SLAs - Core metrics: messages per platform, latency, error rate, fallback/deflection rate, unresolved intents, CSAT/explicit feedback [...]