narrative-resonance-monitor

You can measure brand narrative resonance by analyzing echo rate, AI answer perception, share-of-voice, and public resonance signals against a defined competitor panel. This Skill retrieves data from various public platforms to evaluate how effectively your narrative reaches the market.

Echo rate analysis measures narrative resonance by calculating how much of the market's language overlaps with your brand narrative. It helps determine if your messaging is successfully echoed across public platforms and AI answer engines.

AI answer perception analyzes how AI answer engines describe your brand. By feeding your brand's narrative and canon lexicon into this Skill, you can evaluate how accurately large language models perceive and represent your messaging.

Yes, tracking share-of-voice requires a locked competitor panel to measure your brand's relative presence. You also need access to your brand's narrative and public platforms for accurate data retrieval and resonance analysis.

To start monitoring brand resonance, run the Skill by providing your target brand name and the file path to your canon lexicon. This process initiates the echo rate and share-of-voice analysis across public platforms.

No, narrative resonance analysis requires access to your established brand narrative to function properly. Without this baseline messaging and a canon lexicon, the tool cannot accurately measure echo rate or public resonance signals.