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geo-audit

★ 8.6K repomlN/AIntermediateClaude Gemini
🤖 AI Summary

This skill runs a multi-phase audit that evaluates how well a website is optimized for AI citation and recommendation (GEO), then generates an actionable improvement plan based on the results.

How to Install

Claude Code:
git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude.git && cp geo-seo-claude/skills/geo-audit ~/.claude/skills/geo-audit -r
# GEO Audit Orchestration Skill ## Purpose This skill performs a comprehensive Generative Engine Optimization (GEO) audit of any website. GEO is the practice of optimizing web content so that AI systems (ChatGPT, Claude, Perplexity, Gemini, etc.) can discover, understand, cite, and recommend it. This audit measures how well a site performs across all GEO dimensions and produces an actionable improvement plan. ## Key Insight Traditional SEO optimizes for search engine rankings. GEO optimizes for AI citation and recommendation. Sites that score high on GEO metrics see 30-115% more visibility in AI-generated responses (Georgia Tech / Princeton / IIT Delhi 2024 study). The two disciplines overlap but have distinct requirements. --- ## Audit Workflow ### Phase 1: Discovery and Reconnaissance **Step 1: Fetch Homepage and Detect Business Type** 1. Use WebFetch to retrieve the homepage at the provided URL. 2. Extract the following signals: - Page title, meta description, H1 heading - Navigation menu items (reveals site structure) - Footer content (reveals business info, location, legal pages) - Schema.org markup on homepage (Organization, LocalBusiness, etc.) - Pricing page link (SaaS indicator) - Product listing patterns (E-commerce indicator) - Blog/resource section (Publisher indicator) - Service pages (Agency indicator) - Address/phone/Google Maps embed (Local business indicator) 3. Classify the business type using these patterns: | Business Type | Detection Signals | |---|---| | **SaaS** | Pricing page, "Sign up" / "Free trial" CTAs, app.domain.com subdomain, feature comparison tables, integration pages | | **Local Business** | Physical address on homepage, Google Maps embed, "Near me" content, LocalBusiness schema, service area pages | | **E-commerce** | Product listings, shopping cart, product schema, category pages, price displays, "Add to cart" buttons | | **Publisher** | Blog-heavy navigation, article schema, author pages, date-based archives, RSS feeds, high content volume | | **Agency/Services** | Case studies, portfolio, "Our Work" section, team page, client logos, service descriptions | | **Hybrid** | Combination of above signals -- classify by dominant pattern | **Step 2: Crawl Sitemap and Internal Links** 1. Attempt to fetch `/sitemap.xml` and `/sitemap_index.xml`. 2. If sitemap exists, extract up to 50 unique page URLs prioritized by: - Homepage (always include) - Top-level navigation pages - High-value pages (pricing, about, contact, key service/product pages) - Blog posts (sample 5-10 most recent) - Category/landing pages 3. If no sitemap exists, crawl internal links from the homepage: - Extract all `` links pointing to the same domain - Follow up to 2 levels deep - Prioritize pages linked from main navigation 4. Respect `robots.txt` directives -- do not fetch disallowed paths. 5. Enforce a maximum of 50 pages and a 30-second timeout per fetch. **Step 3: Collect P

Details

Category AI/ML → ml
Sourcezubair-trabzada/geo-seo-claude
SKILL.mdView on GitHub →
Repo Stars★ 8.6K
Est. per Skill574 (shared across 15 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

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