/dm:narrative-tracker

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
• Competitor brands to track narrative for: One or more competitors whose AI narratives should be monitored alongside the brand — enables detection of narrative territory shifts where a competitor begins owning themes previously associated with the user's brand
• AI platforms to monitor: ChatGPT, Perplexity, Gemini, AI Overviews, Copilot — default is all. The user can narrow to platforms most relevant to their audience or where they have observed issues
• Query types: Brand queries ("Tell me about [brand]"), comparison queries ("[brand] vs [competitor]"), category queries ("best [category] solutions"), and problem-solution queries ("how to solve [problem brand addresses]"). A balanced mix is recommended for comprehensive narrative coverage

Process

1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Extract brand positioning, key messages, differentiators, value propositions, target audience, and competitive claims — these form the reference narrative against which AI responses are evaluated. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load messaging dos/don'ts and positioning guardrails. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with user-provided positioning statements.