Individual skill
narrative-tracker
Track the brand narrative in AI engines against desired positioning, flag misstatements. "is AI misrepresenting our brand"
plugins/indranilbanerjee/digital-marketing-pro/skills/narrative-tracker/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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# /digital-marketing-pro:narrative-tracker
> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).
## Purpose
Track and analyze the narrative that AI engines construct about the brand. Monitor what ChatGPT, Perplexity, Gemini, and others say when asked about the brand, compare to desired positioning, detect drift or misrepresentation, and identify when competitors are gaining narrative territory in AI responses. Unlike visibility monitoring (which measures whether the brand appears), narrative tracking measures what is said — the qualitative story AI engines tell about the brand, whether it aligns with intended positioning, and how it changes over time. This gives marketers the insight to proactively shape AI perception through targeted content strategy rather than reacting after damage is done.
## Input Required
The user must provide (or will be prompted for):
- **Desired brand positioning statement(s)**: The core positioning the brand wants AI engines to reflect — value proposition, market position, key differentiators, and target audience. If not provided explicitly, these are extracted from the brand profile's positioning and messaging sections
- **Key brand attributes to verify in AI responses**: Specific attributes, claims, or themes that should appear when AI engines describe the brand — e.g., "enterprise-grade security", "founded in 2015", "serving 10,000+ customers", "leader in [category]". These become the checklist for narrative alignment scoring