What is AI Discovery?

AI Discovery is the process of optimizing digital content specifically to be crawled, indexed, and cited by Large Language Models and generative search engines like Perplexity or ChatGPT Search.

Does this skill help with Perplexity and ChatGPT Search?

Yes, it includes specific patterns, crawler configurations, and content strategies designed to increase visibility on major AI search and answer platforms.

How does the skill improve my citation rates?

It advocates for 'Answer-First' writing, the use of semantic HTML, and the implementation of specific Author and Organization schema that establish E-E-A-T for AI models.

What is an llm.txt file?

The llm.txt file is an emerging standard, similar to robots.txt, that provides specific instructions, site descriptions, and citation preferences to AI agents and LLM crawlers.

How does this differ from traditional SEO?

While traditional SEO focuses on keyword rankings and clicks, AI Discovery (AEO) focuses on providing structured, authoritative answers that LLMs can synthesize into citations.

AI Discovery Expert

Name: AI Discovery Expert
Author: nguyenthienthanh

bynguyenthienthanh

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マーケティングオートメーション

Optimizes web content and technical documentation for high visibility and citation in AI-powered search engines like Perplexity, ChatGPT, and Gemini.

概要

AI Discovery Expert is a specialized skill for Claude Code designed to transition traditional SEO practices into the era of Answer Engine Optimization (AEO). It provides expert guidance on content structuring, semantic HTML, and technical signals that increase the likelihood of your content being cited as an authoritative source by LLM-based discovery platforms. By implementing specific patterns like answer-first writing, topic cluster schemas, and AI-specific crawler instructions (such as llm.txt), this skill ensures your brand and project remain discoverable in the evolving generative search landscape.

主な機能

3 GitHub stars
Expert guidance on entity optimization and topic authority
Structured data and Schema.org integration for AI parsing
Configuration of AI-specific robots.txt and llm.txt standards
Implementation of Answer Engine Optimization (AEO) strategies
Content hierarchy design for improved LLM citation rates

ユースケース

Optimizing technical documentation for citation in Perplexity and ChatGPT Search
Auditing existing websites to improve visibility in generative AI search results
Setting up AI-friendly content structures for new product launches

概要

主な機能

3 GitHub stars
Expert guidance on entity optimization and topic authority
Structured data and Schema.org integration for AI parsing
Configuration of AI-specific robots.txt and llm.txt standards
Implementation of Answer Engine Optimization (AEO) strategies
Content hierarchy design for improved LLM citation rates

ユースケース

Optimizing technical documentation for citation in Perplexity and ChatGPT Search
Auditing existing websites to improve visibility in generative AI search results
Setting up AI-friendly content structures for new product launches