AI Brand Sentiment Monitoring: Tone, Claims & Accuracy
Audit how AI answers describe your brand by separating tone, factual claims, citations, severity, and uncertainty across engine-specific cohorts.
Claude Visibility Tracking: Search Sources & Brand Mentions
Track brand mentions and cited sources in Claude while separating model-only answers, web-search answers, and Anthropic's three documented crawler roles.
Gemini Visibility Tracking: Grounded Sources & Mentions
Track brand mentions and grounded sources in Gemini while separating the consumer app, Gemini API grounding, and Google Search AI features.
How to Track Brand Mentions & Citations in Perplexity AI
Track brand mentions and citations in Perplexity AI with a repeatable question set. Measure citation rate, source share, and competitor visibility.
ChatGPT Visibility Tracking: Mentions, Sources & Accuracy
Measure brand mentions, recommendations, cited URLs, and factual accuracy in ChatGPT Search without pretending its source-selection system is knowable.
AI Agent Monitoring: Tool Failures, Loops, Latency & Cost
Instrument AI agent runs, tool calls, retries, latency, cost, and task outcomes with trace-level evidence and baseline-driven alerts.
LLM API Monitoring: OpenAI, Anthropic & Gemini Reliability
Monitor LLM APIs with provider-specific canaries, latency and rate-limit telemetry, output validation, deprecation tracking, and tested failover.