This Claude skill provides a comprehensive Generative Engine Optimization (GEO) audit to enhance website visibility across AI search platforms like ChatGPT, Perplexity, and Google AI Overviews. It automates technical checks for AI crawlers, validates JSON-LD structured data, and optimizes content for E-E-A-T signals to ensure your site is accurately cited and prioritized by Large Language Models.

When should I use geo-audit?

geo-audit is useful in the following scenarios: • Technical GEO Audit: Automatically verify llms.txt existence and configure robots.txt to allow access for major AI crawlers like GPTBot, PerplexityBot, and ClaudeBot. • Structured Data Enhancement: Analyze and implement JSON-LD schemas such as Organization, FAQPage, and SoftwareApplication to help LLMs understand site entities and relationships. • AI-Friendly Content Optimization: Audit heading hierarchies and meta descriptions while strengthening E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals to improve ranking in generative search results. • Platform Presence Analysis: Evaluate brand mentions and social proof on high-authority platforms like Reddit, Wikipedia, and ProductHunt to boost credibility in AI-generated citations.

name	geo-audit
description	Audit and optimize website for AI search engines like ChatGPT, Perplexity, Google AI Overviews, and Claude. Use when discussing GEO (Generative Engine Optimization), SEO for AI, llms.txt, AI crawlers, structured data for LLMs, or visibility in AI search results.

GEO (Generative Engine Optimization) Audit Skill

Analyzes and optimizes websites for AI search engine visibility across ChatGPT, Perplexity, Google AI Overviews, and Claude.

When This Skill Activates

Claude automatically uses this skill when you mention:

GEO or Generative Engine Optimization
AI search optimization
llms.txt implementation
Visibility in ChatGPT/Perplexity/Claude
Structured data for AI
AI crawler access

Audit Process

Run 4 parallel subagents for comprehensive analysis:

Agent 1: Technical GEO Audit

Use Task tool with subagent_type='general-purpose':

Check the following in the codebase:
1. llms.txt file existence at public/.well-known/llms.txt or public/llms.txt
2. robots.txt configuration - must allow these AI crawlers:
   - GPTBot (OpenAI)
   - ChatGPT-User
   - PerplexityBot
   - ClaudeBot / Claude-Web
   - Google-Extended
   - Amazonbot
   - cohere-ai
3. Sitemap completeness - all pages included with fresh lastmod dates
4. Static HTML rendering - verify SSG/SSR vs client-only
5. Canonical URLs present and correct

Report: List each item as PASS/FAIL with specific fix instructions.

Agent 2: Structured Data Audit

Use Task tool with subagent_type='general-purpose':

Analyze JSON-LD structured data:
1. Check layout.tsx and page components for existing schema
2. Verify required schemas exist:
   - Organization (company info)
   - WebSite (with SearchAction if applicable)
   - SoftwareApplication (for app pages)
   - Article (for blog posts)
   - FAQPage (for FAQ sections)
   - AggregateRating (for reviews)
3. Validate schema completeness per schema.org spec
4. Check for missing entity connections

Report: List schemas found, missing schemas needed, and specific additions.

Agent 3: Content Quality Audit

Use Task tool with subagent_type='general-purpose':

Analyze content for AI-friendliness:
1. Meta descriptions - clear, factual, 150-160 chars
2. Heading hierarchy - one H1, logical H2/H3 structure
3. E-E-A-T signals:
   - Expertise: Technical explanations, methodology details
   - Experience: User testimonials, case studies, results
   - Authority: Credentials, certifications, app store ratings
   - Trust: Privacy info, contact details, security badges
4. FAQ-style content that AI engines prefer
5. Citation opportunities to authoritative sources

Report: Content improvements by page with specific suggestions.

Agent 4: Platform Presence Audit

Use Task tool with subagent_type='general-purpose':

Check brand visibility on AI-cited platforms:
1. Search for brand mentions on Reddit, ProductHunt, HackerNews
2. Check if Wikipedia presence is warranted
3. Verify app store listings exist and are optimized
4. Check for reviews structured data
5. Analyze social proof elements

Report: Platform presence status and growth opportunities.

Fix Implementation

After audit, offer to implement fixes using these references:

Technical Fixes

See: technical-fixes.md

Create llms.txt
Update robots.txt for AI crawlers
Fix sitemap issues

Schema Fixes

See: schema-reference.md

Add missing JSON-LD schemas
Enhance existing structured data

Content Fixes

See: content-reference.md

Improve meta descriptions
Add E-E-A-T signals
Create FAQ content

Site Context

Domain: hoppa.fit
Stack: Next.js (Pages Router)
Purpose: AI-powered fitness app with pose detection
Key Pages: Home, Forum, Blog, Login, Privacy, Terms

Priority Framework

Critical (blocks AI discovery): Missing llms.txt, blocked crawlers, no structured data
High (significant impact): Incomplete sitemap, weak meta descriptions, missing schemas
Medium (incremental gains): E-E-A-T enhancements, FAQ content, citation additions
Quick Wins (easy fixes): robots.txt updates, heading fixes, lastmod dates

geo-audit

When & Why to Use This Skill

Use Cases