Aeo Audit
Audit AI search visibility.
Marketing teams lose hours to ad-hoc, inconsistent aeo audit work — Audit AI search visibility. Use when: checking brand presence in ChatGPT, Perplexity, AI Overviews, Gemini. This playbook turns the process into a repeatable, brand-aware workflow.
Who it's for: digital marketers, marketing managers, growth marketers
Example
"Run /aeo-audit for our brand" → Aeo Audit workflow output with brand context, structured inputs captured, process steps executed, and a complete deliverable ready for review.
New here? 3-minute setup guide → | Already set up? Copy the template below.
# Aeo Audit
# /dm:aeo-audit
## Purpose
Evaluate the brand's visibility and accuracy across AI answer engines. Analyze how the brand is cited, described, and recommended by ChatGPT, Perplexity, Google AI Overviews, and similar platforms. Produce optimization recommendations to improve AI visibility.
## Input Required
The user must provide (or will be prompted for):
- **Brand name**: The brand to audit
- **Website URL**: Primary domain
- **Key queries**: 5-10 queries a potential customer might ask that should surface the brand
- **Competitors**: 2-3 competitors for comparison
- **Product/service categories**: What the brand should be known for
## Process
1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
2. Define a test query set: branded queries, category queries, comparison queries, "best of" queries, problem-solution queries
3. Analyze how the brand appears in AI responses for each query type
4. Check citation accuracy: Are facts correct? Are URLs valid? Is the description current?
5. Compare brand mention frequency and sentiment against competitors
6. Assess source authority: Which sources are AI engines pulling brand info from?
7. Evaluate structured data and knowledge panel presence
8. Identify content gaps where the brand should appear but does not
9. Generate optimization recommendations for improved AI visibility
## Output
A structured AEO audit report containing:
- AI visibility scorecard across platforms (ChatGPT, Perplexity, Google AI Overviews)
- Query-by-query results showing where the brand appears, how it is described, and citation sources
- Competitor comparison matrix for AI visibility
- Citation accuracy assessment with corrections needed
- Source authority analysis — which pages/sites drive AI mentions
- Content gap list — queries where the brand is absent but should appear
- Optimization playbook: structured data, content strategy, authority building, and entity optimization
## Agents Used
- **seo-specialist** — AI search analysis, entity optimization, structured data, citation strategy
What This Does
Evaluate the brand's visibility and accuracy across AI answer engines. Analyze how the brand is cited, described, and recommended by ChatGPT, Perplexity, Google AI Overviews, and similar platforms. Produce optimization recommendations to improve AI visibility.
Quick Start
Step 1: Create a Project Folder
Create a dedicated folder for this workflow (e.g. ~/marketing/aeo-audit).
Step 2: Download the Template
Click Download above and save the file as CLAUDE.md in that folder.
Step 3: Run the Workflow
Open the folder in Claude Code and describe your goal. Claude will prompt you for any missing inputs, follow the structured process, and produce a complete deliverable.
Inputs You'll Need
The user must provide (or will be prompted for):
- Brand name: The brand to audit
- Website URL: Primary domain
- Key queries: 5-10 queries a potential customer might ask that should surface the brand
- Competitors: 2-3 competitors for comparison
- Product/service categories: What the brand should be known for
How It Works
- Load brand context: Read
~/.claude-marketing/brands/_active-brand.jsonfor the active slug, then load~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at~/.claude-marketing/brands/{slug}/guidelines/_manifest.json— if present, load restrictions and relevant category files. Check for custom templates at~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults. - Define a test query set: branded queries, category queries, comparison queries, "best of" queries, problem-solution queries
- Analyze how the brand appears in AI responses for each query type
- Check citation accuracy: Are facts correct? Are URLs valid? Is the description current?
- Compare brand mention frequency and sentiment against competitors
- Assess source authority: Which sources are AI engines pulling brand info from?
- Evaluate structured data and knowledge panel presence
- Identify content gaps where the brand should appear but does not
- Generate optimization recommendations for improved AI visibility
What You Get
A structured AEO audit report containing:
- AI visibility scorecard across platforms (ChatGPT, Perplexity, Google AI Overviews)
- Query-by-query results showing where the brand appears, how it is described, and citation sources
- Competitor comparison matrix for AI visibility
- Citation accuracy assessment with corrections needed
- Source authority analysis — which pages/sites drive AI mentions
- Content gap list — queries where the brand is absent but should appear
- Optimization playbook: structured data, content strategy, authority building, and entity optimization