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Competitor AI Narrative

Map how rivals are framed in AI answers and public copy—then find wedges you can own.

Agents
Cursor, Claude
Updated
2026-11-02
Tags
competitors, research

How to install

  1. Copy or download the SKILL.md below.
  2. Place it in your agent skills folder (e.g. .cursor/skills/competitor-ai-narrative/SKILL.md).
  3. Invoke the skill by name or describe the goal in your agent chat.

SKILL.md

Preview · Pro required
---
name: competitor-ai-narrative
description: Map how competitors are described in AI answers and public narratives—positioning, proof patterns, and content gaps your brand can exploit. Premium research skill for DTC GEO strategy.
---

# Competitor AI Narrative

## Goal

Build a **narrative map** of how key competitors are framed when buyers ask AI and when public content describes them: hero claims, proof types, category language, and weaknesses your brand can counter with better sources—not ads.

## Inputs

| Input | Required |
|-------|----------|
| Your brand brief | yes |
| Competitor list (3–6) | yes |
| Category questions | yes |
| User spot-check pastes from AI engines | recommended |
| Competitor URLs (home, best PDPs, about, press) | recommended |

## Steps

1. **Collect public positioning**  
   For each competitor: tagline, hero claim, proof pillars, price signal, “for whom”.

2. **Normalize language**  
   Shared category vocabulary vs. proprietary jargon. Note which terms AI is likely to echo.

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