Here is a category of competitive intelligence that barely existed two years ago: AI brand sentiment monitoring.

New data suggests that AI systems — ChatGPT, Gemini, Perplexity, and others — sometimes express surprisingly specific opinions about brands. Not neutral descriptions. Opinions, shaped by training data, news cycles, and how a brand appears in the sources these systems have absorbed.

A brand that has received negative press coverage, unflattering comparisons, or a cluster of critical forum posts may find that AI systems reflect that unflattering picture back to users who ask about it. A brand that has generated primarily positive expert coverage, case studies, and authoritative citations may find that AI systems describe it in considerably warmer terms.

The practical consequence: the brand reputation management strategies that used to focus on search results pages now need to extend into AI conversation monitoring.

The question isn't just "what does Google show when someone searches my brand name." It's "what does ChatGPT say when someone asks whether they should trust my company."

For most businesses, the answer to that second question is currently unknown.

Monitoring this doesn't require expensive enterprise tools. A systematic practice of querying multiple AI systems with the questions your customers are likely to ask — about your brand, your competitors, and your category — costs nothing and takes an hour a month. What you discover is often surprising. What you do with it is an emerging and genuinely valuable marketing practice.

The brands paying attention to this now are building an early picture of a competitive landscape most of their rivals haven't started mapping yet.