SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
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seo-geo is a reusable AI skill focused on a specific workflow. description: SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
The skill packages instructions, conventions, and task-specific guidance so an agent can execute the job more consistently. Comprehensive SEO and GEO (Generative Engine Optimization) for websites. Optimize for both traditional search engines (Google, Bing) and AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude). **GEO = Generative Engine Optimization** - Optimizing content to be cited by AI search engines. **Key Insight:** AI search engines don't rank pages - they **cite sources**. Being cited is the new "ranking #1".
In practice, this skill is best suited for users who need repeatable execution with fewer setup steps and less ambiguity. Get the target URL and analyze current SEO/GEO status. **Basic SEO Audit (Free):** python3 scripts/seo_audit.py "https://example.com" **Use this for**: Quick technical SEO check (title, meta, H1, robots, sitemap, load time). No API needed.
seo-geo helps agents follow a focused workflow described in the source documentation, reducing ambiguity and keeping execution aligned with the intended task.
Use it when the task matches the workflow, domain, or operating rules described in the skill documentation, especially when consistent execution matters.
The skill is constrained by the quality and scope of its source instructions. If the underlying documentation is incomplete, the agent may still need extra context or manual validation.
Quick Setup:
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resciencelab/opc-skills