GEO-Skills: A Generative Engine Optimization Toolset for Claude Code

GEO-Skills is an open-source Claude Code skill set developed by the deepdive-ai team, aimed at helping businesses and developers optimize their visibility and citation rates in AI search engines such as ChatGPT, Perplexity, and Google AI Overviews. Its core lies in simplifying GEO auditing and optimization processes through a series of slash commands, covering multiple dimensions including technology, content, and structured data.

Generative Engine Optimization (GEO) is a new paradigm in digital marketing. Its goal is to make content directly cited and recommended by AI search engines, rather than just ranking in SERPs. When users ask questions in AI engines, GEO ensures that content becomes a trusted citation source for AI—this is about whether it is "seen" and "remembered" by AI, which differs from the ranking-oriented traditional SEO.

GEO-Skills is a professional GEO auditing and optimization skill set for Anthropic Claude Code. It encapsulates complex GEO workflows into slash commands, allowing users to quickly launch comprehensive audits without needing technical experts. Users execute commands via Claude Code to complete heavy analysis tasks.

GEO-Skills adopts a modular design divided into five tracks:

1. Quick Diagnosis (geo-quick snapshot, geo-audit full audit);
2. Technical Foundation (geo-technical SEO audit, geo-crawlers access check);
3. Content & Citation (E-E-A-T evaluation for geo-content, geo-citability citation readiness scoring);
4. Structured Data (geo-schema, geo-gmb, geo-llmstxt, platform-specific optimization);
5. Brand & Authority (geo-brand presence, geo-brand-mentions mention scanning).

GEO-Skills includes a complete reporting toolchain: geo-report generates client-ready Markdown reports, geo-report-pdf generates PDFs with charts, geo-proposal creates proposals, geo-compare tracks monthly score changes, and geo-prospect manages client pipelines. Digital marketing agencies can use these tools to provide professional GEO services.

Installation Steps: Ensure Claude Code is installed, then execute git clone https://github.com/deepdive-ai/geo-skills.git ~/.claude/skills, or copy the skill folder to an existing directory. Usage Examples: Commands like /geo-quick https://yourwebsite.com, /geo-audit, /geo-report—Claude will return structured results.

Practical Workflow:

1. Quick Assessment (use geo-quick to get a snapshot);
2. Fix Technical Foundations (use geo-technical and geo-crawlers to ensure crawler access);
3. Optimize Content Quality (use geo-content and geo-citability to reflect E-E-A-T, add FAQs);
4. Improve Structured Data (geo-schema check, llms.txt creation, local business optimization);
5. Build Brand Authority (use geo-brand and mentions to scan authoritative platforms);
6. Continuous Tracking (use geo-compare to monitor score changes).

GEO-Skills marks the transition of GEO from concept to practice. The popularization of AI search engines will make GEO a core part of digital marketing. Enterprises investing in GEO will seize the first-mover advantage, and marketing practitioners mastering GEO skills will gain future competitiveness. This open-source project defines a standard framework for GEO auditing, and its methodology will become an industry consensus. Conclusion: GEO-Skills makes AI visibility measurable, optimizable, and reportable—it is the best tool to start your GEO journey.