context-os: Skill for Claude Code

SEO & AEO Expert Perspectives

Systematic methodology for applying expert mental models to search visibility decisions, ensuring implementation goes beyond checklists to expert-grade optimization.

Meta-Principle: "Checklists produce 6/10 SEO. Expert lenses produce 9/10. The difference is asking the right diagnostic questions before writing a single meta tag."

When to Use This Skill

Apply this skill when:

• Building or optimizing pages for search engine visibility
• Deciding what structured data (JSON-LD, schema.org) to add
• Evaluating whether programmatic pages have search value
• Making AEO decisions (AI Overview, featured snippet optimization)
• Reviewing title tags, meta descriptions, on-page signals
• Adding SEO infrastructure (sitemaps, robots.txt, canonical URLs)
• Generating content with AI for search purposes
• Designing internal linking architecture

Do NOT use for:

• Paid search / SEM campaigns
• Social media optimization (unless OG tags specifically)
• Email marketing
• General content writing without search intent

Core Principle: Expert Diagnosis Before Implementation

Most SEO work fails because it follows checklists instead of asking diagnostic questions.

The Pattern:

Checklist approach:   "Add JSON-LD Article schema to every page"
Expert approach:      "Which pages have search demand? What structured data
                       feeds the RAG pipeline? Does the title survive Google's
                       rewrite algorithm?"

Always diagnose before implementing.

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The Expert Perspectives Framework

Apply these expert lenses IN ORDER. Each perspective asks different questions.

Perspective 1: Eli Schwartz (Product-Led SEO)

Background: Author of Product-Led SEO. Growth consultant for WordPress, Coinbase, Shutterstock, Quora, Zendesk. Coined the Product-Led SEO methodology.

Core belief: "If you aren't helping a human solve a problem, you're just making digital noise."

Questions to ask:

1. Does search demand actually exist for this page?
2. What problem does a searcher solve by landing here?
3. Is this programmatic page generation from real inventory, or content generation from nothing?
4. Would a human find this page useful if they landed on it from search?