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 learn.microsoft.com (Tech Companies) which was ranked #5 out of 90 in the list of sources (3 citations (5.1% share)) in answers from AI models (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: Telegram Bot API, Microsoft Bot Framework, OpenAI, Google.
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| URL Path | Citations | Position |
|---|---|---|
| /microsoftteams/platform/bots/what-are-bots | 1 | 4 |
| /azure/bot-service/bot-builder-overview?view=azure-bot-service-4.0 | 1 | 6 |
| /azure/ai-services/openai | 1 | 11 |
| Brand | Voice | Mentions |
|---|---|---|
|
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37.9% | 10 |
|
|
29.6% | 11 |
|
|
9.2% | 2 |
|
|
6.3% | 2 |
How can I track AI chatbot responses across platforms?
[...] events): - Slack Events API (https://api.slack.com/apis/connections/events-api) - Messenger Platform (Facebook) (https://developers.facebook.com/docs/messenger-platform/) - WhatsApp Business Platform (https://developers.facebook.com/docs/whatsapp) - Microsoft Teams bots (via Bot Framework) (https://learn.microsoft.com/microsoftteams/platform/bots/what-are-bots) - Telegram Bot API (https://core.telegram.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.c [...]
[...] .com/docs/whatsapp) - Microsoft Teams bots (via Bot Framework) (https://learn.microsoft.com/microsoftteams/platform/bots/what-are-bots) - Telegram Bot API (https://core.telegram.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- [...]
[...] .anthropic.com/en/docs/build-with-claude/reliability#request-ids) - Also store model name, tokens, latency, and cost from the response usage objects where available: - OpenAI API docs (https://platform.openai.com/docs) - Google AI (Gemini) docs (https://ai.google.dev/) - Azure OpenAI Service (https://learn.microsoft.com/azure/ai-services/openai/) 4) Pipe events into a centralized store - Open-source observability path: - OpenTelemetry Collector → Elasticsearch + Kibana or Grafana Loki + Grafana - Elasticsearch (https://www.elastic.co/elasticsearch/) - Logstash (optional for ETL) (https://www.elastic.co/logstash/) - Kibana (dashboa [...]