Which tools monitor brand sentiment in AI?
Metric
Sentiment is the polarity (positive, neutral or negative) with which an AI answer describes the brand.
How it is measured in Bikma
Bikma classifies every answer that names the brand and aggregates those classifications by question cluster and by model. The figure is updated daily across every monitored model and feeds, together with Share of Voice and Fact Checking, into the monthly report.
Where to look
The useful value is not the average tone but its distribution: on which topics sentiment turns critical, on which models, in which period. A drop confined to one question cluster flags a specific problem to trace back to its source, before it settles into every answer on that topic.
Why it matters
In AI the tone of an answer reaches every user who asks that question: catching negative sentiment early means correcting the story before it becomes the official version.