LLM Visibility Tracker
LLM Visibility Tracker helps SEO and GEO teams measure how often their brand, page, or entity appears in model responses across multiple LLMs. You can paste structured rows in query|model|mentioned|position|snippetQuality format, then run one-click analysis to compute mention rate, average visibility score, weak-response clusters, and model-level breakdowns. This solves a critical modern visibility challenge: rankings alone no longer reflect discoverability in AI-generated answer interfaces. The tracker surfaces low-coverage queries and weak snippet contexts so teams can prioritize optimization with evidence instead of assumptions. Sample Input supports immediate onboarding for operations teams. Its must-have feature is cross-model mention-rate and visibility-score tracking from response snapshots. For advanced workflows, an optional AI Assistant generates a prioritized GEO action roadmap based on coverage and quality metrics, with backend AI execution triggered only by explicit user action.
Developer Utilities · Utilities
