A detailed report on brand mentions across AI engines, including sentiment analysis, share of voice, and competitor comparisons, with strict adherence to statistical rules.
The agent calls get_me to understand account rules and thresholds. It uses get_visibility to check mention frequency per engine and get_sentiment to analyze framing. It retrieves list_competitors and get_share_of_voice to benchmark performance. The agent must follow the three rules: never average engines, treat null rates as insufficient data (not zero), and interpret empty alerts as no significant change. It presents per-engine data and pooled counts if requested.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: AIMentionTracker MCP (https://koskamo.com/explore/aimentiontracker-mcp)
- Source: AIMentionTracker MCP documentation (https://aimentiontracker.ai/docs/mcp)
- Source quote: "get_visibility | /visibility | How often does each engine name us."
- Playbook page: https://koskamo.com/explore/use-cases/audit-ai-brand-visibility-and-sentiment
Prompt: Check my account limits. Then report how often ChatGPT named us last month, the sentiment, and our share of voice vs competitors. Did anything change this week?