False Positives: When AI Data Says Yes, But the Market Says No

A high Demand Score isn't a guarantee. False positives happen when search volume is high but purchase intent is actually low, or when a trend is driven by media hype, not user need. DemandSonar's “False Positive Risk Detector” looks for suspicious patterns: high search, low forum engagement, short dwell time on competitor sites, and no revenue proof. “NFT cooking recipes” had a Score of 81 during the hype cycle, but the risk detector flagged it as a likely false positive due to zero transactional history. Three months later, the search volume collapsed. The founders who heeded the warning kept their money. AI isn't perfect, but layering skepticism on top of the Score makes it much safer. [Check your false positive risk →]