ai-search-optimization

AI 搜索优化（AEO 与 GEO）

来源：https://github.com/dirnbauer/webconsulting-skills

范围： 针对 AI 驱动的搜索引擎和答案引擎优化内容 此技能介绍如何提升内容在 ChatGPT、Perplexity、Google AI Overviews、Microsoft Copilot 及其他生成式 AI 平台上的可见度。

1. 了解 AEO 与 GEO

什么是 AEO（答案引擎优化）？

答案引擎优化侧重于构建内容，为用户查询提供直接、简洁的答案，以适配 AI 驱动的平台。传统 SEO 的目标是获得链接点击，而 AEO 的目标是让内容被引用为答案来源。

目标平台：

• Google AI Overviews（原 SGE）
• Perplexity AI
• ChatGPT Search
• Microsoft Copilot Search
• 语音助手（Siri、Alexa、Google Assistant）

什么是 GEO（生成式引擎优化）？

生成式引擎优化是一项更广泛的工作，旨在提升内容在AI 生成的搜索结果中的可见度。它面向从多个来源综合生成答案的生成式引擎，而非呈现传统的链接列表。

与传统 SEO 的主要区别：

方面	传统 SEO	AEO/GEO
目标	在 SERP 中获得排名	被 AI 答案引用
用户行为	点击进入网站	直接获取答案
内容格式	针对关键词优化的页面	结构化、可引用的内容
成功指标	点击率	引用频率
查询类型	短关键词	对话式长尾查询

AI 搜索格局（2025-2026）

• Google AI Overviews： 在 200 个国家/地区拥有每月超过 20 亿用户（TechCrunch）
• Google AI Mode： 在美国和印度拥有每月超过 1 亿用户
• ChatGPT Search： 提供实时网页搜索和引用
• Perplexity AI： 实时引用引擎，注重新鲜度
• Microsoft Copilot Search： 将 Bing 与生成式 AI 集成
• 零点击搜索： 全球约 60% 的搜索以用户未点击任何链接告终（neotype.ai）

2. 面向 AI 可读性的内容结构

语义 HTML 结构

AI 系统能更有效地从结构良好的内容中提取信息：

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Descriptive, Question-Answering Title</title>
</head>
<body>
    <article>
        <header>
            <h1>Primary Topic as Question or Clear Statement</h1>
            <p class="summary">Direct 2-3 sentence answer to the main question.</p>
        </header>
        
        <main>
            <section>
                <h2>Subtopic Heading</h2>
                <p>Detailed explanation with facts and data.</p>
                
                <ul>
                    <li>Key point 1 with specific information</li>
                    <li>Key point 2 with verifiable data</li>
                    <li>Key point 3 with actionable insight</li>
                </ul>
            </section>
        </main>
        
        <aside>
            <h3>Quick Facts</h3>
            <dl>
                <dt>Term</dt>
                <dd>Definition</dd>
            </dl>
        </aside>
    </article>
</body>
</html>

标题层级最佳实践

# H1: Main Topic (contains primary question/keyword)
   └── ## H2: Major subtopic
          └── ### H3: Specific aspect
                 └── #### H4: Details (use sparingly)

规则：

• 每个页面只使用一个 H1
• H1 应回答“此页面的主题是什么？”
• 适当使用问句形式的标题
• 自然融入目标关键词

倒金字塔模式

构建内容以便 AI 提取：

┌─────────────────────────────────────┐
│     DIRECT ANSWER (First 1-2       │ ← AI extracts this
│     sentences answer the query)     │
├─────────────────────────────────────┤
│     KEY FACTS & CONTEXT            │ ← Supporting evidence
│     (Bullet points, data, quotes)   │
├─────────────────────────────────────┤
│     DETAILED EXPLANATION           │ ← Comprehensive coverage
│     (Background, methodology,       │
│      examples, case studies)        │
├─────────────────────────────────────┤
│     RELATED TOPICS                 │ ← Topic authority signals
│     (Links to related content)      │
└─────────────────────────────────────┘

便于提取的列表和表格

AI 引擎更偏好结构化数据格式：

<table>
    <caption>Feature Comparison: Product A vs Product B</caption>
    <thead>
        <tr>
            <th>Feature</th>
            <th>Product A</th>
            <th>Product B</th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <td>Price</td>
            <td>$99/month</td>
            <td>$149/month</td>
        </tr>
        
    </tbody>
</table>


<dl>
    <dt>AEO</dt>
    <dd>Answer Engine Optimization - optimizing content for direct answers</dd>
    
    <dt>GEO</dt>
    <dd>Generative Engine Optimization - visibility in AI-generated results</dd>
</dl>


<ol>
    <li>Step one with clear action</li>
    <li>Step two with measurable outcome</li>
    <li>Step three with verification method</li>
</ol>

3. 帮助 AI 理解的 Schema 标记

必备 Schema 类型

研究表明，结构化数据能显著提升内容在 AI 搜索中的可见度：

• 结构化数据有助于机器解析和理解内容；但请注意，Google 文档指出，Schema 标记不会提升内容被纳入 AI Overviews 的机会
• Organization Schema： 引用频率提升 2.8 倍
• FAQPage Schema： 答案收录率提升 2.5 倍
• Article Schema： 内容引用量提升 2.2 倍
• 使用 15 种以上 Schema 类型的网站，引用率高出 2.4 倍（surgeboom.com）

FAQPage Schema

{
    "@context": "https://schema.org",
    "@type": "FAQPage",
    "mainEntity": [
        {
            "@type": "Question",
            "name": "What is Answer Engine Optimization?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "Answer Engine Optimization (AEO) is a strategic approach to structuring content so AI platforms like ChatGPT, Perplexity, and Google AI Overviews can easily extract and cite it as direct answers to user queries."
            }
        },
        {
            "@type": "Question",
            "name": "How is AEO different from SEO?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "While SEO focuses on ranking in traditional search results for clicks, AEO optimizes content to be cited directly in AI-generated answers, often resulting in zero-click interactions where users get information without visiting the source."
            }
        }
    ]
}

HowTo Schema

{
    "@context": "https://schema.org",
    "@type": "HowTo",
    "name": "How to Optimize Content for AI Search",
    "description": "Step-by-step guide to improving visibility in AI-powered search engines",
    "totalTime": "PT30M",
    "step": [
        {
            "@type": "HowToStep",
            "name": "Structure Content Semantically",
            "text": "Use proper HTML5 semantic elements like article, section, and aside",
            "position": 1
        },
        {
            "@type": "HowToStep",
            "name": "Implement Schema Markup",
            "text": "Add FAQPage, HowTo, and Article schema to your pages",
            "position": 2
        },
        {
            "@type": "HowToStep",
            "name": "Optimize for Conversational Queries",
            "text": "Write content that answers natural language questions",
            "position": 3
        }
    ]
}

含作者信息的 Article Schema

{
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": "Complete Guide to AI Search Optimization",
    "description": "Learn how to optimize content for ChatGPT, Perplexity, and Google AI Overviews",
    "datePublished": "2025-01-15",
    "dateModified": "2025-01-15",
    "author": {
        "@type": "Person",
        "name": "Expert Name",
        "url": "https://example.com/about/expert-name",
        "jobTitle": "SEO Specialist",
        "sameAs": [
            "https://linkedin.com/in/expertname",
            "https://twitter.com/expertname"
        ]
    },
    "publisher": {
        "@type": "Organization",
        "name": "Company Name",
        "logo": {
            "@type": "ImageObject",
            "url": "https://example.com/logo.png"
        }
    }
}

Organization Schema

{
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "Company Name",
    "url": "https://example.com",
    "logo": "https://example.com/logo.png",
    "description": "Brief description of what the organization does",
    "foundingDate": "2010",
    "sameAs": [
        "https://www.linkedin.com/company/companyname",
        "https://twitter.com/companyname",
        "https://github.com/companyname"
    ],
    "contactPoint": {
        "@type": "ContactPoint",
        "telephone": "+1-555-123-4567",
        "contactType": "customer service",
        "availableLanguage": ["English", "German"]
    }
}

详细参考

如果任务需要详细示例、较长模板、故障排查矩阵、附录或上文未包含的章节，请阅读完整指南。对于范围较窄的任务，请勿加载此文件，以便技能遵循渐进式披露。