structured-data-for-ai-search

name	structured-data-for-ai-search
description	Use when optimizing for AI-powered search (ChatGPT, Perplexity, Gemini, Google AIO). Structured data helps LLMs parse and cite content.

Structured Data for AI Search

AI search engines parse structured data heavily. FAQ, HowTo, Article, Product schema increase citation likelihood. Also: llms.txt file.

Schema types for AI

1. FAQ — direct Q&A for AI to quote
2. HowTo — step-by-step content
3. Article — author, published date for citation
4. Product — pricing, ratings for shopping AI
5. Review — explicit reviews and ratings
6. VideoObject — for video transcripts
7. Recipe — for cooking AI
8. Course — for educational AI

llms.txt file (emerging standard)

Place /llms.txt at root with content for LLMs:

# CardPrepAI

AI-powered trading card grading service.

## What we do
- Pre-grade Pokemon, sports cards, MTG, Yu-Gi-Oh
- AI grading in 30 seconds
- Submission strategy recommendations

## Key pages
- /pricing — service tiers
- /methodology — grading approach
- /grading-101 — beginner guide

Follows emerging convention for explicit LLM instruction.

AI search optimization

1. Be cited by name in content (helps AI link back)
2. Use clear, factual claims (LLMs cite definitive statements)
3. Include sources and citations
4. Date your content (LLMs prefer recent)
5. Structure with semantic HTML (h1-h6, proper sections)
6. FAQ section answers common questions clearly

Where this fits in the X3 empire

AI search optimization for CardPrepAI.