seo-geo
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.
93
88%
Does it follow best practices?
Impact
96%
1.31xAverage score across 6 eval scenarios
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly defines its domain (SEO & GEO), lists concrete actions, names specific platforms, and includes an explicit 'Use when...' clause with extensive trigger terms. It covers both traditional and AI-focused search optimization, making it distinctive and comprehensive. The description is well-structured and concise without unnecessary fluff.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Analyze keywords', 'generate schema markup', 'optimize for AI search engines' and 'traditional search', with named platforms (ChatGPT, Perplexity, Gemini, Copilot, Claude, Google, Bing). | 3 / 3 |
Completeness | Clearly answers both 'what' (analyze keywords, generate schema markup, optimize for AI and traditional search engines) and 'when' with an explicit 'Use when...' clause listing numerous trigger scenarios. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'search visibility', 'search optimization', 'search ranking', 'AI visibility', 'ChatGPT ranking', 'Google AI Overview', 'indexing', 'JSON-LD', 'meta tags', 'keyword research'. These span both technical and casual user language. | 3 / 3 |
Distinctiveness Conflict Risk | The combination of SEO, GEO, AI search engine optimization, and specific triggers like 'JSON-LD', 'schema markup', and 'ChatGPT ranking' creates a clear niche that is unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable SEO/GEO skill with a clear multi-step workflow and good validation checkpoints. Its main weakness is length — some sections (meta tag templates, platform-specific tips) could be moved to reference files to improve conciseness. The referenced bundle files don't exist, which undermines the progressive disclosure strategy, though the references are clearly signaled and one-level deep.
Suggestions
Move the full meta tags HTML template and platform-specific optimization details to their respective reference files (schema-templates.md, platform-algorithms.md) to reduce the main skill's token footprint.
Remove explanatory lines Claude already knows, such as the GEO definition and the 'Key Insight' about citation vs ranking — these consume tokens without adding actionable value.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly comprehensive but includes some unnecessary explanations (e.g., 'GEO = Generative Engine Optimization - Optimizing content to be cited by AI search engines' and 'AI search engines don't rank pages - they cite sources'). The platform-specific section and GEO methods table are information-dense and earn their tokens, but the meta tags template and some checklist items are boilerplate Claude already knows. | 2 / 3 |
Actionability | Provides concrete, executable commands (curl, bash scripts), copy-paste ready JSON-LD schema templates, HTML meta tag templates, and specific WebSearch queries. The GEO methods table includes specific percentage boosts and clear application instructions. The audit steps are fully actionable. | 3 / 3 |
Workflow Clarity | Clear 5-step sequential workflow (Audit → Keyword Research → GEO Optimization → Traditional SEO → Validate & Monitor) with explicit validation steps in Step 5 (schema validation, indexing status checks). The report template at the end serves as a verification checklist. Each step has clear purpose annotations ('Use this for:'). | 3 / 3 |
Progressive Disclosure | Good structure with clear references to external files (platform-algorithms.md, geo-research.md, schema-templates.md, etc.), but no bundle files were provided to verify these exist. The main SKILL.md is quite long (~200 lines) and some content (like the full meta tags template and platform-specific details) could be offloaded to reference files. The references section is well-organized with clear one-level-deep navigation. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- resciencelab/opc-skills
- Commit
74fa178
- Reviewed
Table of Contents
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