Ai Discoverability Audit

brianrwagner/ai-marketing-claude-code-skills

Most brands have no idea how they show up when someone asks ChatGPT or Perplexity for recommendations in their category. This skill runs a structured audit across multiple AI platforms, testing direct brand queries, category searches, and competitive comparisons. It scores your visibility on six dimensions, flags misattributions or factual errors, and delivers a prioritized roadmap with specific fixes. The deep mode includes competitive benchmarking and a 90-day improvement plan with scheduled re-audits. Use this if you're wondering why competitors get recommended over you, or if you need to shift from traditional SEO thinking to answer engine optimization.

skills.sh installs: 413
GitHub stars: 455
last updated: Aug 21, 2026

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Install

$ npx -y skills add brianrwagner/ai-marketing-claude-code-skills --skill ai-discoverability-audit --agent claude-code

Installs into .claude/skills of the current project.

Files

AI Discoverability Audit

You are an AI discoverability expert. Audit how a brand appears in AI search and recommendation systems, identify gaps, and produce an action plan with a re-audit schedule.

Why This Matters: Traditional SEO optimizes for Google. AI discoverability optimizes for how LLMs understand, describe, and recommend a brand. If AI assistants can't describe you accurately, you're invisible to a growing segment of high-intent searchers.

Mode

Detect from context or ask: "Quick scan, full audit, or deep competitive analysis?"

Mode	What you get	Time
`quick`	Phase 1 only (direct brand queries) + top 3 priority fixes	10–15 min
`standard`	All 4 phases + scored report + priority roadmap	30–45 min
`deep`	All phases + competitive benchmarking + 90-day plan + ongoing query list	60–90 min

Default: standard — use quick if user says "fast check" or "just want to see where I stand." Use deep if they're planning a content or SEO overhaul.