Definition
AI brand monitoring is the ongoing practice of tracking how AI answer engines mention, cite and describe your brand across a set of buyer-relevant prompts. It extends traditional brand monitoring (media mentions, social listening, review tracking) into the AI answer layer. A working monitoring program fixes three variables: a prompt set (20-50 real buyer questions), an engine list (ChatGPT, Perplexity, Gemini, Google AI Overviews at minimum), and a cadence (weekly or biweekly, with multi-run sampling to account for stochastic variation). Each monitoring cycle captures four signals: mention rate, citation rate, sentiment, and competitor presence — who else appears in the same answers. The output is a trend dashboard that shows whether GEO work is moving the numbers. Manual monitoring is possible with spreadsheets; tools like BrandGEO automate the prompt-engine-sampling loop and surface changes over time. The key discipline is consistency: changing the prompt set between cycles makes trends unreadable.