Installation
git clone https://github.com/BrianRWagner/ai-marketing-claude-code-skills.git && mkdir -p ~/.claude/skills && cp -r ai-marketing-claude-code-skills/ai-discoverability-audit ~/.claude/skills/ About this Tool
Marketing audit skill focused on answer-engine optimization (AEO) and LLM visibility. Runs structured query testing, analyzes brand representation quality, and produces prioritized actions to improve AI-surface discoverability.
Use Case Examples
- Audit how your SaaS brand is described by ChatGPT versus direct competitors.
- Identify mismatches between intended positioning and AI-generated summaries.
- Build a 90-day action plan to improve answer-engine visibility.
MarketCore Editorial Review
MarketCore Editorial Review
High-value emerging-channel skill for teams prioritizing visibility in AI-native discovery flows.
Best For
- AEO baseline audits
- AI engine brand perception diagnostics
- Competitive AI visibility benchmarking
Code Quality
Strong structure and phased audit workflow make this more actionable than generic AI visibility advice.
Limitations
Results vary by model version and geography; audits need periodic reruns to stay current.
Reviewed 2026-04-05
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Score Breakdown
Overall Score
Based on 5 dimensions
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