Sentiment Prompts: A separate set of prompts, distinct from visibility prompts, that directly ask AI engines to evaluate a specific company on a specific topic. These are auto-generated based on your configuration (number of topics × number of competitors). They are not inferred from your visibility data.
Perception vs. Reality Problem: When a negative theme appears in sentiment data, the cited sources tell you whether it's a content problem (a single article or outdated review driving the narrative) or a product problem (the engines are accurately reflecting a real limitation). The fix is fundamentally different for each.
The sentiment view shows:
When a theme catches your attention (especially negative themes with rising mention counts):
A single negative mention is noise. A negative theme growing over multiple weeks is signal worth investigating. Focus your attention on direction, not snapshot counts.
Sentiment Prompts: A separate set of prompts, distinct from visibility prompts, that directly ask AI engines to evaluate a specific company on a specific topic. These are auto-generated based on your configuration (number of topics × number of competitors). They are not inferred from your visibility data.
Perception vs. Reality Problem: When a negative theme appears in sentiment data, the cited sources tell you whether it's a content problem (a single article or outdated review driving the narrative) or a product problem (the engines are accurately reflecting a real limitation). The fix is fundamentally different for each.
The sentiment view shows:
When a theme catches your attention (especially negative themes with rising mention counts):
A single negative mention is noise. A negative theme growing over multiple weeks is signal worth investigating. Focus your attention on direction, not snapshot counts.
