ai-seo
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ChineseAI SEO
AI SEO
You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.
您是AI搜索优化领域的专家——这门技术旨在让内容能够被Google AI Overviews、ChatGPT、Perplexity、Claude、Gemini和Copilot等AI系统发现、提取并引用。您的目标是帮助用户的内容在AI生成的回答中被作为来源引用。
Before Starting
开始前准备
Check for product marketing context first:
If exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
.claude/product-marketing-context.mdGather this context (ask if not provided):
首先检查产品营销背景：
如果存在文件，请在提问前先阅读该文件。利用其中的背景信息，仅询问未涵盖的信息或与本次任务相关的特定信息。
.claude/product-marketing-context.md请收集以下背景信息（若未提供则询问用户）：
1. Current AI Visibility
1. 当前AI可见性现状
- Do you know if your brand appears in AI-generated answers today?
- Have you checked ChatGPT, Perplexity, or Google AI Overviews for your key queries?
- What queries matter most to your business?
- 您是否了解品牌目前是否出现在AI生成的回答中？
- 您是否在ChatGPT、Perplexity或Google AI Overviews中查询过核心搜索词的结果？
- 哪些搜索词对您的业务最重要？
2. Content & Domain
2. 内容与域名情况
- What type of content do you produce? (Blog, docs, comparisons, product pages)
- What's your domain authority / traditional SEO strength?
- Do you have existing structured data (schema markup)?
- 您生产的内容类型是什么？（博客、文档、对比文章、产品页面）
- 您的域名权重/传统SEO实力如何？
- 您的网站是否已部署结构化数据（schema标记）？
3. Goals
3. 核心目标
- Get cited as a source in AI answers?
- Appear in Google AI Overviews for specific queries?
- Compete with specific brands already getting cited?
- Optimize existing content or create new AI-optimized content?
- 希望内容在AI回答中被作为来源引用？
- 希望在特定搜索词的Google AI Overviews中展示？
- 希望与已被AI引用的竞品竞争？
- 希望优化现有内容还是创建新的AI优化内容？
4. Competitive Landscape
4. 竞争格局
- Who are your top competitors in AI search results?
- Are they being cited where you're not?
- 您在AI搜索结果中的主要竞争对手是谁？
- 他们是否在您未被引用的场景中被AI引用？
How AI Search Works
AI搜索的工作机制
The AI Search Landscape
AI搜索生态
| Platform | How It Works | Source Selection |
|---|---|---|
| Google AI Overviews | Summarizes top-ranking pages | Strong correlation with traditional rankings |
| ChatGPT (with search) | Searches web, cites sources | Draws from wider range, not just top-ranked |
| Perplexity | Always cites sources with links | Favors authoritative, recent, well-structured content |
| Gemini | Google's AI assistant | Pulls from Google index + Knowledge Graph |
| Copilot | Bing-powered AI search | Bing index + authoritative sources |
| Claude | Brave Search (when enabled) | Training data + Brave search results |
For a deep dive on how each platform selects sources and what to optimize per platform, see references/platform-ranking-factors.md.
| 平台 | 工作原理 | 来源选择 |
|---|---|---|
| Google AI Overviews | 汇总排名靠前的页面 | 与传统排名高度相关 |
| ChatGPT（带搜索功能） | 联网搜索并引用来源 | 来源范围更广，不仅限于排名靠前的页面 |
| Perplexity | 始终附带链接引用来源 | 偏好权威、最新、结构清晰的内容 |
| Gemini | Google的AI助手 | 从Google索引+知识图谱中提取内容 |
| Copilot | 基于Bing的AI搜索 | 从Bing索引+权威来源中提取内容 |
| Claude | 启用时使用Brave搜索 | 从训练数据+Brave搜索结果中提取内容 |
如需深入了解各平台的来源选择规则及针对性优化方法，请参考references/platform-ranking-factors.md。
Key Difference from Traditional SEO
与传统SEO的核心差异
Traditional SEO gets you ranked. AI SEO gets you cited.
In traditional search, you need to rank on page 1. In AI search, a well-structured page can get cited even if it ranks on page 2 or 3 — AI systems select sources based on content quality, structure, and relevance, not just rank position.
Critical stats:
- AI Overviews appear in ~45% of Google searches
- AI Overviews reduce clicks to websites by up to 58%
- Brands are 6.5x more likely to be cited via third-party sources than their own domains
- Optimized content gets cited 3x more often than non-optimized
- Statistics and citations boost visibility by 40%+ across queries
传统SEO帮助您获得排名。AI SEO帮助您被引用。
在传统搜索中，您需要进入首页排名。而在AI搜索中，结构良好的页面即使排名在第2或第3页，也可能被引用——AI系统会基于内容质量、结构和相关性选择来源，而非仅依赖排名位置。
关键数据：
- AI Overviews出现在约45%的Google搜索结果中
- AI Overviews最多可减少58%的网站点击量
- 品牌通过第三方来源被引用的概率是自身域名的6.5倍
- 经过优化的内容被引用的概率是未优化内容的3倍
- 数据统计和引用可使跨搜索词的可见性提升40%以上
AI Visibility Audit
AI可见性审计
Before optimizing, assess your current AI search presence.
在优化之前，请先评估您当前的AI搜索表现。
Step 1: Check AI Answers for Your Key Queries
步骤1：查询核心搜索词的AI回答结果
Test 10-20 of your most important queries across platforms:
| Query | Google AI Overview | ChatGPT | Perplexity | You Cited? | Competitors Cited? |
|---|---|---|---|---|---|
| [query 1] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
| [query 2] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
Query types to test:
- "What is [your product category]?"
- "Best [product category] for [use case]"
- "[Your brand] vs [competitor]"
- "How to [problem your product solves]"
- "[Your product category] pricing"
在各平台测试10-20个最重要的搜索词：
| 搜索词 | Google AI Overview | ChatGPT | Perplexity | 您的内容被引用？ | 竞争对手被引用？ |
|---|---|---|---|---|---|
| [搜索词1] | 是/否 | 是/否 | 是/否 | 是/否 | [竞品名称] |
| [搜索词2] | 是/否 | 是/否 | 是/否 | 是/否 | [竞品名称] |
建议测试的搜索词类型：
- "什么是[您的产品类别]？"
- "最适合[使用场景]的[产品类别]"
- "[您的品牌] vs [竞品]"
- "如何解决[您的产品能解决的问题]"
- "[您的产品类别]定价"
Step 2: Analyze Citation Patterns
步骤2：分析引用模式
When your competitors get cited and you don't, examine:
- Content structure — Is their content more extractable?
- Authority signals — Do they have more citations, stats, expert quotes?
- Freshness — Is their content more recently updated?
- Schema markup — Do they have structured data you're missing?
- Third-party presence — Are they cited via Wikipedia, Reddit, review sites?
当竞争对手被引用而您未被引用时，请检查以下维度：
- 内容结构——他们的内容是否更易被提取？
- 权威信号——他们是否有更多引用、数据统计或专家语录？
- 新鲜度——他们的内容是否更新更及时？
- Schema标记——他们是否使用了您未部署的结构化数据？
- 第三方曝光——他们是否在维基百科、Reddit、评测网站等平台被提及？
Step 3: Content Extractability Check
步骤3：内容可提取性检查
For each priority page, verify:
| Check | Pass/Fail |
|---|---|
| Clear definition in first paragraph? | |
| Self-contained answer blocks (work without surrounding context)? | |
| Statistics with sources cited? | |
| Comparison tables for "[X] vs [Y]" queries? | |
| FAQ section with natural-language questions? | |
| Schema markup (FAQ, HowTo, Article, Product)? | |
| Expert attribution (author name, credentials)? | |
| Recently updated (within 6 months)? | |
| Heading structure matches query patterns? | |
| AI bots allowed in robots.txt? |
针对每个重点页面，验证以下项目：
| 检查项 | 通过/不通过 |
|---|---|
| 第一段是否包含清晰定义？ | |
| 是否有独立的回答模块（无需上下文即可理解）？ | |
| 数据统计是否附带来源引用？ | |
| 针对"[X] vs [Y]"类搜索词是否有对比表格？ | |
| 是否有包含自然语言问题的FAQ板块？ | |
| 是否部署了Schema标记（FAQ、HowTo、Article、Product等类型）？ | |
| 是否标注了专家信息（作者姓名、资质）？ | |
| 内容是否为近期更新（6个月内）？ | |
| 标题结构是否匹配搜索词模式？ | |
| robots.txt是否允许AI爬虫访问？ |
Step 4: AI Bot Access Check
步骤4：AI爬虫访问权限检查
Verify your robots.txt allows AI crawlers. Each AI platform has its own bot, and blocking it means that platform can't cite you:
- GPTBot and ChatGPT-User — OpenAI (ChatGPT)
- PerplexityBot — Perplexity
- ClaudeBot and anthropic-ai — Anthropic (Claude)
- Google-Extended — Google Gemini and AI Overviews
- Bingbot — Microsoft Copilot (via Bing)
Check your robots.txt for rules targeting any of these. If you find them blocked, you have a business decision to make: blocking prevents AI training on your content but also prevents citation. One middle ground is blocking training-only crawlers (like CCBot from Common Crawl) while allowing the search bots listed above.
DisallowSee references/platform-ranking-factors.md for the full robots.txt configuration.
请确认您的robots.txt文件允许AI爬虫访问。每个AI平台都有专属爬虫，若被阻止则无法被该平台引用：
- GPTBot和ChatGPT-User——OpenAI（ChatGPT）
- PerplexityBot——Perplexity
- ClaudeBot和anthropic-ai——Anthropic（Claude）
- Google-Extended——Google Gemini和AI Overviews
- Bingbot——Microsoft Copilot（基于Bing）
检查robots.txt中是否有针对上述爬虫的规则。若发现被阻止，您需要做出业务决策：阻止爬虫可防止AI训练使用您的内容，但也会失去被引用的机会。折衷方案是阻止仅用于训练的爬虫（如Common Crawl的CCBot），同时允许上述搜索类爬虫访问。
Disallow如需完整的robots.txt配置指南，请参考references/platform-ranking-factors.md。
Optimization Strategy
优化策略
The Three Pillars
三大核心支柱
1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)1. Structure（提升内容可提取性）
2. Authority（提升内容可引用性）
3. Presence（布局AI关注的渠道）Pillar 1: Structure — Make Content Extractable
支柱1：结构——提升内容可提取性
AI systems extract passages, not pages. Every key claim should work as a standalone statement.
Content block patterns:
- Definition blocks for "What is X?" queries
- Step-by-step blocks for "How to X" queries
- Comparison tables for "X vs Y" queries
- Pros/cons blocks for evaluation queries
- FAQ blocks for common questions
- Statistic blocks with cited sources
For detailed templates for each block type, see references/content-patterns.md.
Structural rules:
- Lead every section with a direct answer (don't bury it)
- Keep key answer passages to 40-60 words (optimal for snippet extraction)
- Use H2/H3 headings that match how people phrase queries
- Tables beat prose for comparison content
- Numbered lists beat paragraphs for process content
- Each paragraph should convey one clear idea
AI系统提取的是段落而非整个页面。每个核心观点都应能作为独立语句被理解。
推荐的内容模块模式：
- 定义模块：针对"什么是X？"类搜索词
- 分步模块：针对"如何做X？"类搜索词
- 对比表格：针对"X vs Y"类搜索词
- 优缺点模块：针对评估类搜索词
- FAQ模块：针对常见问题
- 数据统计模块：附带来源引用
如需各模块的详细模板，请参考references/content-patterns.md。
结构规则：
- 每个段落开头直接给出答案（避免埋在内容深处）
- 核心回答段落控制在40-60词（最适合AI提取片段）
- 使用匹配用户搜索词的H2/H3标题
- 对比内容优先使用表格而非纯文本
- 流程类内容优先使用编号列表而非段落
- 每个段落仅传达一个清晰观点
Pillar 2: Authority — Make Content Citable
支柱2：权威——提升内容可引用性
AI systems prefer sources they can trust. Build citation-worthiness.
The Princeton GEO research (KDD 2024, studied across Perplexity.ai) ranked 9 optimization methods:
| Method | Visibility Boost | How to Apply |
|---|---|---|
| Cite sources | +40% | Add authoritative references with links |
| Add statistics | +37% | Include specific numbers with sources |
| Add quotations | +30% | Expert quotes with name and title |
| Authoritative tone | +25% | Write with demonstrated expertise |
| Improve clarity | +20% | Simplify complex concepts |
| Technical terms | +18% | Use domain-specific terminology |
| Unique vocabulary | +15% | Increase word diversity |
| Fluency optimization | +15-30% | Improve readability and flow |
| -10% | Actively hurts AI visibility |
Best combination: Fluency + Statistics = maximum boost. Low-ranking sites benefit even more — up to 115% visibility increase with citations.
Statistics and data (+37-40% citation boost)
- Include specific numbers with sources
- Cite original research, not summaries of research
- Add dates to all statistics
- Original data beats aggregated data
Expert attribution (+25-30% citation boost)
- Named authors with credentials
- Expert quotes with titles and organizations
- "According to [Source]" framing for claims
- Author bios with relevant expertise
Freshness signals
- "Last updated: [date]" prominently displayed
- Regular content refreshes (quarterly minimum for competitive topics)
- Current year references and recent statistics
- Remove or update outdated information
E-E-A-T alignment
- First-hand experience demonstrated
- Specific, detailed information (not generic)
- Transparent sourcing and methodology
- Clear author expertise for the topic
AI系统优先引用可信任的来源。请构建内容的可引用价值。
普林斯顿GEO研究（2024年KDD会议，基于Perplexity.ai的研究）列出了9种优化方法的效果：
| 方法 | 可见性提升幅度 | 实施方法 |
|---|---|---|
| 引用来源 | +40% | 添加带链接的权威参考资料 |
| 添加数据统计 | +37% | 包含附带来源的具体数据 |
| 添加专家语录 | +30% | 包含带姓名和职位的专家语录 |
| 权威语气 | +25% | 以专业视角撰写内容 |
| 提升清晰度 | +20% | 简化复杂概念 |
| 使用专业术语 | +18% | 使用领域特定术语 |
| 丰富词汇 | +15% | 增加词汇多样性 |
| 流畅度优化 | +15-30% | 提升可读性和内容流畅度 |
| -10% | 会直接降低AI可见性 |
**最佳组合：**流畅度优化+数据统计=最大提升效果。低排名网站受益更明显——添加引用后可见性可提升高达115%。
数据统计与资料（提升37-40%的引用概率）
- 包含附带来源的具体数字
- 引用原始研究而非研究摘要
- 为所有数据统计标注日期
- 原创数据优于汇总数据
专家资质标注（提升25-30%的引用概率）
- 标注作者姓名及资质
- 包含带职位和机构的专家语录
- 使用"据[来源]称"的表述方式
- 提供作者相关专业领域的简介
新鲜度信号
- 显眼位置标注"最后更新：[日期]"
- 定期更新内容（竞争激烈的主题至少每季度更新一次）
- 使用当前年份的参考资料和最新数据
- 删除或更新过时信息
E-E-A-T对齐
- 展示第一手经验
- 提供具体、详细的信息（而非泛泛而谈）
- 透明的来源和方法论
- 清晰的作者专业领域匹配度
Pillar 3: Presence — Be Where AI Looks
支柱3：布局——覆盖AI关注的渠道
AI systems don't just cite your website — they cite where you appear.
Third-party sources matter more than your own site:
- Wikipedia mentions (7.8% of all ChatGPT citations)
- Reddit discussions (1.8% of ChatGPT citations)
- Industry publications and guest posts
- Review sites (G2, Capterra, TrustRadius for B2B SaaS)
- YouTube (frequently cited by Google AI Overviews)
- Quora answers
Actions:
- Ensure your Wikipedia page is accurate and current
- Participate authentically in Reddit communities
- Get featured in industry roundups and comparison articles
- Maintain updated profiles on relevant review platforms
- Create YouTube content for key how-to queries
- Answer relevant Quora questions with depth
AI系统不仅会引用您的官网，还会引用您在第三方平台的曝光内容。
第三方来源的价值高于官网：
- 维基百科提及（占ChatGPT所有引用的7.8%）
- Reddit讨论（占ChatGPT所有引用的1.8%）
- 行业出版物和客座文章
- 评测网站（B2B SaaS领域的G2、Capterra、TrustRadius）
- YouTube视频（常被Google AI Overviews引用）
- Quora回答
行动建议：
- 确保维基百科页面准确且最新
- 真实参与Reddit社区讨论
- 争取在行业综述和对比文章中被提及
- 在相关评测平台维护更新的品牌资料
- 针对核心"如何做"类搜索词创建YouTube内容
- 深入回答相关Quora问题
Schema Markup for AI
AI优化的Schema标记
Structured data helps AI systems understand your content. Key schemas:
| Content Type | Schema | Why It Helps |
|---|---|---|
| Articles/Blog posts | | Author, date, topic identification |
| How-to content | | Step extraction for process queries |
| FAQs | | Direct Q&A extraction |
| Products | | Pricing, features, reviews |
| Comparisons | | Structured comparison data |
| Reviews | | Trust signals |
| Organization | | Entity recognition |
Content with proper schema shows 30-40% higher AI visibility. For implementation, use the schema-markup skill.
结构化数据可帮助AI系统理解您的内容。核心Schema类型：
| 内容类型 | Schema类型 | 作用 |
|---|---|---|
| 文章/博客帖子 | | 识别作者、日期和主题 |
| 教程类内容 | | 提取流程类搜索词的步骤 |
| FAQ内容 | | 直接提取问答内容 |
| 产品页面 | | 提取定价、功能、评测信息 |
| 对比内容 | | 结构化对比数据 |
| 评测内容 | | 传递信任信号 |
| 品牌信息 | | 实体识别 |
部署正确Schema标记的内容，AI可见性可提升30-40%。如需实施指导，请使用schema-markup技能。
Content Types That Get Cited Most
最易被AI引用的内容类型
Not all content is equally citable. Prioritize these formats:
| Content Type | Citation Share | Why AI Cites It |
|---|---|---|
| Comparison articles | ~33% | Structured, balanced, high-intent |
| Definitive guides | ~15% | Comprehensive, authoritative |
| Original research/data | ~12% | Unique, citable statistics |
| Best-of/listicles | ~10% | Clear structure, entity-rich |
| Product pages | ~10% | Specific details AI can extract |
| How-to guides | ~8% | Step-by-step structure |
| Opinion/analysis | ~10% | Expert perspective, quotable |
Underperformers for AI citation:
- Generic blog posts without structure
- Thin product pages with marketing fluff
- Gated content (AI can't access it)
- Content without dates or author attribution
- PDF-only content (harder for AI to parse)
并非所有内容的引用概率都相同，请优先关注以下格式：
| 内容类型 | 引用占比 | AI引用原因 |
|---|---|---|
| 对比文章 | ~33% | 结构清晰、内容平衡、用户意图明确 |
| 权威指南 | ~15% | 内容全面、权威性高 |
| 原创研究/数据 | ~12% | 独特、可引用的统计数据 |
| 最佳推荐/榜单 | ~10% | 结构清晰、实体信息丰富 |
| 产品页面 | ~10% | AI可提取具体细节 |
| 教程指南 | ~8% | 分步结构清晰 |
| 观点/分析 | ~10% | 专家视角、适合引用 |
AI引用表现较差的内容：
- 无结构的通用博客文章
- 充斥营销话术的单薄产品页面
- gated内容（AI无法访问）
- 无日期或作者标注的内容
- 仅PDF格式的内容（AI解析难度大）
Monitoring AI Visibility
AI可见性监控
What to Track
监控指标
| Metric | What It Measures | How to Check |
|---|---|---|
| AI Overview presence | Do AI Overviews appear for your queries? | Manual check or Semrush/Ahrefs |
| Brand citation rate | How often you're cited in AI answers | AI visibility tools (see below) |
| Share of AI voice | Your citations vs. competitors | Peec AI, Otterly, ZipTie |
| Citation sentiment | How AI describes your brand | Manual review + monitoring tools |
| Source attribution | Which of your pages get cited | Track referral traffic from AI sources |
| 指标 | 衡量内容 | 查看方式 |
|---|---|---|
| AI Overview出现率 | 您的搜索词是否有AI Overview展示 | 手动检查或使用Semrush/Ahrefs |
| 品牌引用率 | 您的品牌在AI回答中被引用的频率 | AI可见性工具（见下文） |
| AI声量份额 | 您与竞品的引用占比对比 | Peec AI、Otterly、ZipTie |
| 引用情感倾向 | AI对您品牌的描述语气 | 人工审核+监控工具 |
| 来源归因 | 您的哪些页面被引用 | 跟踪AI来源的推荐流量 |
AI Visibility Monitoring Tools
AI可见性监控工具
| Tool | Coverage | Best For |
|---|---|---|
| Otterly AI | ChatGPT, Perplexity, Google AI Overviews | Share of AI voice tracking |
| Peec AI | ChatGPT, Gemini, Perplexity, Claude, Copilot+ | Multi-platform monitoring at scale |
| ZipTie | Google AI Overviews, ChatGPT, Perplexity | Brand mention + sentiment tracking |
| LLMrefs | ChatGPT, Perplexity, AI Overviews, Gemini | SEO keyword → AI visibility mapping |
| 工具 | 覆盖平台 | 适用场景 |
|---|---|---|
| Otterly AI | ChatGPT、Perplexity、Google AI Overviews | AI声量份额跟踪 |
| Peec AI | ChatGPT、Gemini、Perplexity、Claude、Copilot+ | 多平台规模化监控 |
| ZipTie | Google AI Overviews、ChatGPT、Perplexity | 品牌提及+情感跟踪 |
| LLMrefs | ChatGPT、Perplexity、AI Overviews、Gemini | SEO关键词→AI可见性映射 |
DIY Monitoring (No Tools)
自助监控（无需工具）
Monthly manual check:
- Pick your top 20 queries
- Run each through ChatGPT, Perplexity, and Google
- Record: Are you cited? Who is? What page?
- Log in a spreadsheet, track month-over-month
每月手动检查：
- 选择20个核心搜索词
- 在ChatGPT、Perplexity和Google中分别查询
- 记录：您是否被引用？谁被引用？哪个页面被引用？
- 记录在表格中，跟踪月度变化
AI SEO for Different Content Types
不同内容类型的AI SEO策略
SaaS Product Pages
SaaS产品页面
Goal: Get cited in "What is [category]?" and "Best [category]" queries.
Optimize:
- Clear product description in first paragraph (what it does, who it's for)
- Feature comparison tables (you vs. category, not just competitors)
- Specific metrics ("processes 10,000 transactions/sec" not "blazing fast")
- Customer count or social proof with numbers
- Pricing transparency (AI cites pages with visible pricing)
- FAQ section addressing common buyer questions
**目标：**在"什么是[类别]？"和"最佳[类别]"类搜索词中被引用。
优化建议：
- 第一段包含清晰的产品描述（功能、目标用户）
- 添加功能对比表格（与类别对比，而非仅与竞品对比）
- 使用具体指标（如"每秒处理10,000笔交易"而非"速度极快"）
- 包含客户数量或带数字的社交证明
- 透明展示定价（AI偏好引用定价可见的页面）
- 添加FAQ板块解答常见买家问题
Blog Content
博客内容
Goal: Get cited as an authoritative source on topics in your space.
Optimize:
- One clear target query per post (match heading to query)
- Definition in first paragraph for "What is" queries
- Original data, research, or expert quotes
- "Last updated" date visible
- Author bio with relevant credentials
- Internal links to related product/feature pages
**目标：**在您所在领域的主题中被作为权威来源引用。
优化建议：
- 每篇文章聚焦一个核心搜索词（标题匹配搜索词）
- 针对"什么是"类搜索词，在第一段给出定义
- 包含原创数据、研究或专家语录
- 显眼位置标注"最后更新"日期
- 作者简介包含相关资质
- 内部链接到相关产品/功能页面
Comparison/Alternative Pages
对比/替代产品页面
Goal: Get cited in "[X] vs [Y]" and "Best [X] alternatives" queries.
Optimize:
- Structured comparison tables (not just prose)
- Fair and balanced (AI penalizes obviously biased comparisons)
- Specific criteria with ratings or scores
- Updated pricing and feature data
- Cite the competitor-alternatives skill for building these pages
**目标：**在"[X] vs [Y]"和"最佳[X]替代产品"类搜索词中被引用。
优化建议：
- 使用结构化对比表格（而非纯文本）
- 内容公平客观（AI会惩罚明显偏向的对比）
- 使用具体标准和评分
- 更新定价和功能数据
- 如需构建此类页面，请参考competitor-alternatives技能
Documentation / Help Content
文档/帮助内容
Goal: Get cited in "How to [X] with [your product]" queries.
Optimize:
- Step-by-step format with numbered lists
- Code examples where relevant
- HowTo schema markup
- Screenshots with descriptive alt text
- Clear prerequisites and expected outcomes
**目标：**在"如何使用[您的产品]做[X]"类搜索词中被引用。
优化建议：
- 使用分步编号列表格式
- 必要时添加代码示例
- 部署HowTo Schema标记
- 截图包含描述性alt文本
- 清晰列出前置条件和预期结果
Common Mistakes
常见误区
- Ignoring AI search entirely — ~45% of Google searches now show AI Overviews, and ChatGPT/Perplexity are growing fast
- Treating AI SEO as separate from SEO — Good traditional SEO is the foundation; AI SEO adds structure and authority on top
- Writing for AI, not humans — If content reads like it was written to game an algorithm, it won't get cited or convert
- No freshness signals — Undated content loses to dated content. Always show when content was last updated
- Gating all content — AI can't access gated content. Keep your most authoritative content open
- Ignoring third-party presence — You may get more AI citations from a Wikipedia mention than from your own blog
- No structured data — Schema markup gives AI systems structured context about your content
- Keyword stuffing — Unlike traditional SEO where it's just ineffective, keyword stuffing actively reduces AI visibility by 10% (Princeton GEO study)
- Blocking AI bots — If GPTBot, PerplexityBot, or ClaudeBot are blocked in robots.txt, those platforms can't cite you
- Generic content without data — "We're the best" won't get cited. "Our customers see 3x improvement in [metric]" will
- Forgetting to monitor — You can't improve what you don't measure. Check AI visibility monthly at minimum
- 完全忽视AI搜索——约45%的Google搜索结果已展示AI Overviews，ChatGPT/Perplexity的用户量增长迅速
- 将AI SEO与传统SEO割裂——良好的传统SEO是基础，AI SEO是在其之上添加结构和权威优化
- 只为AI写作而非人类——若内容读起来像算法产物，既不会被引用也无法转化用户
- 无新鲜度信号——未标注日期的内容竞争力弱于标注日期的内容，务必显示最后更新时间
- 所有内容都gated——AI无法访问gated内容，请开放最具权威性的内容
- 忽视第三方曝光——维基百科提及带来的AI引用可能比您的博客更多
- 未部署结构化数据——Schema标记可为AI系统提供内容的结构化上下文
- 关键词堆砌——与传统SEO中仅无效不同，关键词堆砌会直接降低10%的AI可见性（普林斯顿GEO研究）
- 阻止AI爬虫——若GPTBot、PerplexityBot或ClaudeBot被robots.txt阻止，这些平台将无法引用您的内容
- 无数据支撑的通用内容——"我们是最好的"不会被引用，但"我们的客户在[指标]上提升了3倍"会被引用
- 未进行监控——无法衡量就无法改进，至少每月检查一次AI可见性
Tool Integrations
工具集成
For implementation, see the tools registry.
| Tool | Use For |
|---|---|
| AI Overview tracking, keyword research, content gap analysis |
| Backlink analysis, content explorer, AI Overview data |
| Search Console performance data, query tracking |
| Referral traffic from AI sources |
如需实施工具，请参考工具注册表。
| 工具 | 用途 |
|---|---|
| AI Overview跟踪、关键词研究、内容差距分析 |
| 反向链接分析、内容探索、AI Overview数据 |
| 搜索控制台性能数据、搜索词跟踪 |
| 跟踪AI来源的推荐流量 |
Task-Specific Questions
任务特定问题
- What are your top 10-20 most important queries?
- Have you checked if AI answers exist for those queries today?
- Do you have structured data (schema markup) on your site?
- What content types do you publish? (Blog, docs, comparisons, etc.)
- Are competitors being cited by AI where you're not?
- Do you have a Wikipedia page or presence on review sites?
- 您的前10-20个核心搜索词是什么？
- 您是否检查过这些搜索词目前是否有AI回答？
- 您的网站是否部署了结构化数据（schema标记）？
- 您发布的内容类型有哪些？（博客、文档、对比文章等）
- 竞品是否在您未被引用的场景中被AI引用？
- 您是否有维基百科页面或在评测平台上有曝光？
Related Skills
相关技能
- seo-audit: For traditional technical and on-page SEO audits
- schema-markup: For implementing structured data that helps AI understand your content
- content-strategy: For planning what content to create
- competitor-alternatives: For building comparison pages that get cited
- programmatic-seo: For building SEO pages at scale
- copywriting: For writing content that's both human-readable and AI-extractable
- seo-audit：用于传统技术和页面SEO审计
- schema-markup：用于实施帮助AI理解内容的结构化数据
- content-strategy：用于规划需创建的内容
- competitor-alternatives：用于构建易被引用的对比页面
- programmatic-seo：用于规模化构建SEO页面
- copywriting：用于撰写既适合人类阅读又易被AI提取的内容