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Agent Skill

AI SEO skill

ai-seosickn33/agentic-awesome-skillsplugins/agentic-awesome-skills-claude/skills/ai-seo/SKILL.md

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.

48kMIT

always on

47 tokname + description

once used

3,904 tokSKILL.md body

bundled files

327 KB

repo stars

48kGitHub

Install the AI SEO skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-seo

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p ~/.claude/skills
cp -R /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/ai-seo ~/.claude/skills/ai-seo

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description47 tok
When the agent uses itThe SKILL.md instructions3,904 tok
Only if opened3 bundled files (27 KB)varies

Until it is used, ai-seo costs about 29× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from sickn33/agentic-awesome-skills would load 5,255 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • AI SEO
  • When to Use
  • Before Starting
  • 1. Current AI Visibility
  • 2. Content & Domain
  • 3. Goals
  • 4. Competitive Landscape
  • How AI Search Works
  • The AI Search Landscape
  • Key Difference from Traditional SEO
  • AI Visibility Audit
  • Step 1: Check AI Answers for Your Key Queries
  • Step 2: Analyze Citation Patterns
  • Step 3: Content Extractability Check
  • Step 4: AI Bot Access Check
  • Optimization Strategy
  • The Three Pillars
  • Pillar 1: Structure — Make Content Extractable
  • Pillar 2: Authority — Make Content Citable
  • Pillar 3: Presence — Be Where AI Looks
  • Schema Markup for AI
  • Content Types That Get Cited Most
  • Monitoring AI Visibility
  • What to Track

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