Sentiment Analysis (AI Answers)

Being mentioned is necessary but not sufficient; how you're characterized matters. Sentiment analysis classifies each appearance as positive, neutral, negative, or absent, so you can tell whether the AI is recommending you enthusiastically, listing you flatly, or warning against you.

Sentiment is shaped by the sources models draw on. Consistently positive third-party coverage, strong reviews, and accurate entity data push sentiment favorable, while unaddressed complaints or outdated information can drag it down. Tracking sentiment across many prompts over time shows whether reputation work is landing in the answers buyers actually read.

DeepLexa detects sentiment per answer as part of its presence analysis, adding a qualitative layer to raw appearance rates.