Skill 详情

optimize-for-ai

Direct SEO specialization for AI search and citation visibility.

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---
name: optimize-for-ai
description: >
  Optimize content for AI search engines — ChatGPT, Perplexity, Claude, Gemini,
  Google AI Overviews. Use when the user asks about AI SEO, AISO, getting cited
  by AI, appearing in AI answers, answer engine optimization, AEO, GEO, LLMO,
  AI Overviews, zero-click search, or how to appear in ChatGPT/Perplexity results.
  For traditional SEO, see diagnose-seo.
metadata:
  version: 1.0.0
---

# Optimize for AI

Optimize for AI search engines (ChatGPT, Perplexity, Claude, Gemini, Google AI
Overviews) using citation architecture, E-E-A-T signals, and brand entity
building.

## The Shift: Ranked vs Cited

Traditional SEO gets you **ranked** in a list of results. AI SEO gets you
**cited** as a source in AI-generated answers. The difference matters:

- AI systems select sources based on content quality, structure, and authority — not just ranking position
- AI Overviews appear in a growing share of Google searches and can significantly reduce website clicks
- Well-structured, authoritative content gets cited far more often than unstructured content
- Being cited by AI builds brand trust in a way traditional rankings cannot

## Content That Gets Cited

### What AI Systems Look For

AI systems extract information from content. The easier it is to extract, the more likely it gets cited:

**Definitions and clear statements**
- "X is Y" format — unambiguous, extractable
- Place definitions early in the content, right after the heading
- Avoid burying answers in lengthy introductions

**Structured data**
- Comparison tables — among the most commonly cited content formats
- Step-by-step lists
- Statistical claims with sources
- Pro/con lists

**Original insights**
- Original research and data — unique data earns disproportionate citations
- Expert quotes with credentials
- First-hand experience descriptions
- Counterintuitive findings backed by evidence

**Comprehensive coverage**
- Definitive guides that cover a topic end-to-end
- FAQ sections with direct answers
- Content that answers follow-up questions proactively

### Content Formats That Win (ranked by citation frequency)

| Format | Why It Works |
|--------|-------------|
| Comparison articles | AI frequently answers "X vs Y" and "best X" queries — structured comparisons are easy to extract |
| Definitive guides | Comprehensive coverage signals authority to AI systems |
| Original research | Unique data that no one else has — AI systems prefer primary sources |
| How-to tutorials | Step-by-step structure maps directly to AI response format |
| Expert roundups | Multiple expert voices increase perceived authority |

## Content-Type Optimization

Different content types get cited differently. Optimize based on what you're writing:

### Comparison / "Best X" Content
- Lead with a clear verdict or winner in the first 100 words
- Include a summary comparison table near the top (AI systems extract tables directly)
- Structure each option with consistent subheadings (Pros, Cons, Pricing, Best For)
- State the recommendation explicitly: "The best X for Y is Z because..."

### Research / Data Content
- Add a "Key Findings" callout box with the single most notable statistic
- Present data in HTML tables, not inline prose
- State methodology explicitly (sample size, timeframe, data source)
- Lead each section with the conclusion, then the supporting data

### How-To / Tutorial Content
- Present the complete step list before any explanatory prose
- Use ordered lists with concise step descriptions
- Include estimated time and difficulty level upfront
- End with a concrete result statement: "After completing these steps, you will have..."

### Definition / Explainer Content
- Put the definition in the first sentence — not after context-setting
- Use the "X is Y" format: unambiguous, standalone, extractable
- Follow with a concrete example in the second paragraph
- Structure the rest as progressive detail (what → why → how → examples)

## AI Citation Scoring
在 GitHub 阅读完整来源 (打开外部页面)
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