Skills
skills/montagao/skills/llm-seo

llm-seo

SKILL.md

LLM Search Optimization (AIO)

Maximize discoverability and accurate representation within LLMs (ChatGPT, Claude, Perplexity) and AI search tools.

Implementation Checklist

  1. Create /public/llms.txt - AI scraper manifest
  2. Create /for-llms route - high-density information page
  3. Add JSON-LD structured data to key pages
  4. Audit robots.txt for AI bot access
  5. Ensure RSS/Atom feed exists and is linked

1. Create llms.txt

Place at /public/llms.txt (or web root equivalent).

Template: See assets/llms.txt.template

Requirements:

  • Plain text or Markdown format
  • Concise "Who/What/Why" summary
  • Direct URLs to key resources (Docs, Blog, About)
  • Explicit citation instructions for LLMs
  • Consistent taglines matching brand identity

2. Create /for-llms Route

Dedicated page for LLM ingestion at domain.com/for-llms.

Design principles:

  • Minimal styling, no marketing fluff
  • Pure Markdown rendered to HTML, or semantic HTML
  • Zero layout shifts
  • High information density
  • Full biography/documentation that may be summarized elsewhere

3. JSON-LD Structured Data

Inject Schema.org data into <head> of Home, About, and Blog pages.

Templates:

  • Person: assets/jsonld-person.template.json
  • Organization: assets/jsonld-organization.template.json

Embed as:

<script type="application/ld+json">
{ ... }
</script>

Consistency rule: name, description, and sameAs must match content in llms.txt.

4. Audit robots.txt

Ensure AI scrapers are NOT disallowed if discoverability is the goal:

# AI Bots to allow for discoverability
# GPTBot (OpenAI)
# ClaudeBot (Anthropic)
# CCBot (Common Crawl)
# PerplexityBot

Check for overly broad Disallow rules that block these user agents.

5. RSS/Atom Feed

Ensure feed exists and is linked in <head>:

<link rel="alternate" type="application/rss+xml" title="RSS" href="/feed.xml" />

Content Guidelines

When generating AIO content:

  1. Clarity > Cleverness - No marketing jargon. Dry, factual, explicit.
  2. Markdown first - LLMs parse Markdown better than complex DOM. Use lists, headers, code blocks.
  3. Phrase consistency - Repeat exact taglines across llms.txt, JSON-LD, and homepage to strengthen vector associations.

Assets

  • assets/llms.txt.template - Template for llms.txt file
  • assets/jsonld-person.template.json - JSON-LD for individuals
  • assets/jsonld-organization.template.json - JSON-LD for companies/products
Weekly Installs
16
Repository
montagao/skills
GitHub Stars
2
First Seen
Feb 1, 2026
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