Claude Code Plugins

Community-maintained marketplace

Feedback

llm-optimization

@Soborbo/claudeskills
0
0

Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name llm-optimization
description Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
version 1

LLM Optimization Skill

Purpose

Make websites appear in AI assistant recommendations and citations. Different from traditional SEO - optimized for how LLMs parse and recommend content.

Core Rules

  1. Structured > Prose — LLMs extract facts from clear structure
  2. Schema.org is Critical — Speakable, FAQPage, HowTo schemas
  3. Answer the Question — First paragraph must directly answer intent
  4. Cite Sources — Links to authoritative sources build trust
  5. Entity Clarity — Clear business name, location, service definitions
  6. Freshness Signals — Last updated dates, recent content
  7. No Walls — Content must be crawlable, no JS-only rendering
  8. Never Override Truth — LLM optimization NEVER overrides factual accuracy or legal compliance

LLM Crawlers to Support

LLM Crawlers Notes
OpenAI/ChatGPT GPTBot, OAI-SearchBot, ChatGPT-User GPTBot = training, others = real-time
Google Gemini Google-Extended robots.txt control token, not a distinct UA
Perplexity PerplexityBot, Perplexity-User Bot = indexing, User = real-time fetch
Claude ClaudeBot, Claude-User, Claude-SearchBot Official Anthropic crawlers
Microsoft Copilot Bingbot Uses Bing's crawler

robots.txt Configuration

# OpenAI crawlers
User-agent: GPTBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

# Google AI (control token)
User-agent: Google-Extended
Allow: /

# Perplexity crawlers
User-agent: PerplexityBot
Allow: /

User-agent: Perplexity-User
Allow: /

# Anthropic/Claude crawlers
User-agent: ClaudeBot
Allow: /

User-agent: Claude-User
Allow: /

User-agent: Claude-SearchBot
Allow: /

Content Structure for LLM Extraction

<!-- 1. Direct Answer (first 150 chars) -->
<p class="lead">
  [Business Name] provides [service] in [location].
  [Key differentiator]. [Call to action].
</p>

<!-- 2. Quick Facts Box -->
<aside class="quick-facts" itemscope itemtype="https://schema.org/LocalBusiness">
  <h2>Quick Facts</h2>
  <dl>
    <dt>Service Area</dt><dd itemprop="areaServed">[Areas]</dd>
    <dt>Price Range</dt><dd itemprop="priceRange">[Range]</dd>
  </dl>
</aside>

<!-- 3. FAQ Section (critical for LLM) -->
<section itemscope itemtype="https://schema.org/FAQPage">
  <!-- Each Q&A as schema -->
</section>

Forbidden

  • ❌ Content behind JavaScript-only rendering
  • ❌ Blocking LLM crawlers in robots.txt
  • ❌ Missing Speakable schema
  • ❌ Vague, marketing-speak first paragraphs
  • ❌ No FAQ section on service pages
  • ❌ Missing lastModified dates
  • ❌ No structured data

Definition of Done

  • robots.txt allows all LLM crawlers
  • Speakable schema on all key pages
  • FAQPage schema on service pages
  • First paragraph directly answers search intent
  • Quick Facts box with structured data
  • lastModified meta tag present
  • Content renders without JavaScript
  • Entity names consistent across site

References