tlc-generative-engine-optimization

Optimizes pages for AI answer engines through metadata, structured data, and citation-ready content.

5.1k|468|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/tech-leads-club/agent-skills --skill tlc-generative-engine-optimization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tlc-generative-engine-optimization
Source: https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/%28quality%29/tlc-generative-engine-optimization
Command: npx skills add https://github.com/tech-leads-club/agent-skills --skill tlc-generative-engine-optimization

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Pages that rank well in classic search often remain invisible to AI answer engines like ChatGPT Search, Perplexity, and Google AI Overviews because they lack crawl access for AI bots, valid structured data, or quotable content structure. This Skill provides the technical, on-page workflow to make a page discoverable, understandable, trustworthy, quotable, and fresh for generative search.

Core Features & Use Cases

  • GEO Audits: Score an existing page against six pillars (Discoverable, Understandable, Useful, Trustworthy, Quotable, Fresh) and produce a prioritized findings table with severity-ranked fixes.
  • GEO-Ready Page Creation: Generate pages with correct canonical/hreflang metadata, TechArticle or FAQPage JSON-LD, and a quotable outline where each section opens with a self-contained direct answer.
  • AI Crawler Configuration: Create robots.txt rules distinguishing OAI-SearchBot (search indexing) from GPTBot (training), plus optional llms.txt files to guide AI agents.
  • Use Case: A user asks to audit their blog for AI search visibility; the Skill checks robots.txt, validates JSON-LD, runs the pillar sweep, and returns fixes like adding datePublished, an author bio, and FAQPage schema.

Quick Start

Ask the agent to audit your page for AI search visibility or to create a GEO-optimized article page with valid structured data and citation-ready content.

Frequently Asked Questions about tlc-generative-engine-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize my website for AI search engines like ChatGPT and Perplexity?

Ensure robots.txt allows AI crawlers such as OAI-SearchBot and BingBot, add valid JSON-LD structured data, and structure content so each section opens with a self-contained direct answer. This Skill audits all six GEO pillars and returns prioritized fixes.

What is the difference between GPTBot and OAI-SearchBot in robots.txt?

GPTBot is OpenAI's training crawler, while OAI-SearchBot is its search indexer controlling ChatGPT Search citations. They are separate User-agent entries, so you can block training data collection while still allowing search indexing.

Does llms.txt control how AI crawlers access my site?

No. llms.txt is a community convention that guides AI agents to key pages; it has no effect on crawling. robots.txt is the only authoritative crawler-control file, and llms.txt does not guarantee citations.

Why is my structured data not showing in the Rich Results Test?

The most common cause is JSON-LD injected by client-side JavaScript after page load. Move the JSON-LD into a static script tag in server-rendered HTML, and confirm required fields like datePublished, author, and headline are present.

When should I not use Generative Engine Optimization techniques?

GEO is page-level technical work, so it does not fit AI-driven content strategy or programmatic pages at scale, classic keyword ranking, accessibility audits, or multi-area site health audits. Those scenarios need dedicated SEO, accessibility, or site-audit approaches.