ai-seo

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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.

你是AI搜索优化领域的专家——AI搜索优化指的是让内容能够被Google AI Overviews、ChatGPT、Perplexity、Claude、Gemini、Copilot等AI系统发现、提取和引用的实践，你的目标是帮助用户的内容作为来源被AI生成的答案引用。

When to Use

适用场景

Use when optimizing content to be cited by LLMs and AI search systems.
Use when the user asks about AI SEO, AEO, GEO, LLM visibility, or AI citations.
Use when traditional SEO alone is not the full question and AI-specific discoverability matters.

当你需要优化内容以获得LLM和AI搜索系统引用时使用
当用户询问AI SEO、AEO、GEO、LLM可见度或AI引用相关问题时使用
当仅靠传统SEO无法完全解决问题，需要提升AI专属可发现性时使用

Before Starting

开始前准备

Check for product marketing context first: If

.agents/product-marketing-context.md

exists (or

.claude/product-marketing-context.md

in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

优先检查产品营销上下文： 如果存在

.agents/product-marketing-context.md

文件（旧配置中为

.claude/product-marketing-context.md

），请先阅读该文件再提问，基于已有上下文开展工作，仅询问未覆盖的信息或本次任务专属的信息。

收集以下上下文（如果未提供可主动询问）：

1. Current AI Visibility

1. 当前AI可见度

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?

你是否知道你的品牌目前是否出现在AI生成的答案中？
你是否针对核心查询词在ChatGPT、Perplexity或Google AI Overviews中检索过？
哪些查询词对你的业务最重要？

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)?

你生产什么类型的内容？（博客、文档、对比内容、产品页等）
你的域名权重/传统SEO实力如何？
你是否已部署结构化数据（schema markup）？

3. Goals

3. 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?

作为来源被AI答案引用？
在特定查询词的Google AI Overviews中露出？
与已经获得引用的特定品牌竞争？
优化现有内容还是创作新的AI友好内容？

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?

你在AI搜索结果中的头部竞争对手是谁？
他们是否在你没有获得引用的场景中被引用？

How AI Search Works

AI搜索的工作原理

The AI Search Landscape

AI搜索行业格局

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	来源选择逻辑
Google AI Overviews	汇总排名靠前的页面内容	与传统搜索排名高度相关
ChatGPT (带搜索功能)	检索网页后引用来源	来源范围更广，不只限于高排名页面
Perplexity	始终引用来源并附带链接	偏好权威、最新、结构清晰的内容
Gemini	Google旗下AI助手	从Google索引+知识图谱中拉取内容
Copilot	由Bing提供支持的AI搜索	基于Bing索引+权威来源
Claude	启用搜索时使用Brave Search	训练数据+Brave搜索结果

如需深入了解每个平台的来源选择逻辑以及各平台专属优化要点，请查看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帮助你获得高排名，AI SEO帮助你获得引用。

传统搜索中你需要排在第1页才能获得流量，而AI搜索中结构良好的页面即使排在第2、3页也可能被引用——AI系统选择来源的依据是内容质量、结构和相关性，不只是排名位置。

关键数据：

约45%的Google搜索会展示AI Overviews
AI Overviews最多可降低58%的网站点击量
品牌通过第三方来源获得引用的概率是自有域名的6.5倍
优化后的内容获得引用的概率是未优化内容的3倍
统计数据和引用可使全场景可见度提升40%以上

AI Visibility Audit

AI可见度审计

Before optimizing, assess your current AI search presence.

优化前先评估你当前的AI搜索表现。

Step 1: Check AI Answers for Your Key Queries

步骤1：针对核心查询词检查AI答案

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个最重要的查询词：

查询词	Google AI Overview露出	ChatGPT	Perplexity	你的内容被引用了吗？	竞争对手被引用了吗？
[查询词1]	是/否	是/否	是/否	是/否	[具体是哪些]
[查询词2]	是/否	是/否	是/否	是/否	[具体是哪些]

需要测试的查询类型：

"什么是[你的产品品类]？"
"最适合[使用场景]的[产品品类]"
"[你的品牌] vs [竞争对手]"
"如何解决[你的产品解决的问题]"
"[你的产品品类]定价"

Step 2: Analyze Citation Patterns

步骤2：分析引用规律

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?

当竞争对手获得引用而你没有时，检查以下维度：

内容结构 —— 他们的内容是否更容易被提取？
权威信号 —— 他们是否有更多引用、统计数据、专家观点？
新鲜度 —— 他们的内容更新时间是否更近？
Schema标记 —— 他们是否有你缺失的结构化数据？
第三方露出 —— 他们是否被维基百科、Reddit、测评网站引用？

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?

针对每个优先级页面，验证以下项：

检查项	通过/未通过
首段有清晰的定义？
包含可独立上下文使用的自包含答案块？
统计数据附带来源引用？
针对"[X] vs [Y]"类查询配有对比表格？
包含使用自然语言提问的FAQ板块？
配置了Schema标记（FAQ、HowTo、文章、产品类）？
有专家归属信息（作者姓名、资质）？
最近6个月内有更新？
标题结构与用户查询模式匹配？
robots.txt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

Disallow

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.

See references/platform-ranking-factors.md for the full robots.txt configuration.

确认你的robots.txt允许AI爬虫访问，每个AI平台都有专属爬虫，屏蔽对应爬虫就意味着该平台无法引用你的内容：

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）

检查你的robots.txt中是否有针对上述爬虫的

Disallow

规则。如果发现被屏蔽，你需要做业务决策：屏蔽可以防止AI使用你的内容训练，但也会阻止内容被引用。折中方案是屏蔽仅用于训练的爬虫（比如Common Crawl的CCBot），同时允许上面列出的搜索类爬虫访问。

完整的robots.txt配置请查看references/platform-ranking-factors.md。

Optimization Strategy

优化策略

The Three Pillars

三大支柱

1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)

1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)

Pillar 1: Structure — Make Content Extractable

支柱1：结构——让内容可提取

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，不是整页。每个核心主张都应该可以作为独立语句成立。

内容块模式：

针对"什么是X？"类查询的定义块
针对"如何做X"类查询的分步说明块
针对"X vs Y"类查询的对比表格
针对评估类查询的优缺点块
针对常见问题的FAQ块
附带来源引用的统计数据块

各类型内容块的详细模板请查看references/content-patterns.md。

结构规则：

每个板块开头直接给出答案（不要把答案藏在内容深处）
核心答案段落控制在40-60词（是片段提取的最优长度）
使用与用户查询表述匹配的H2/H3标题
对比内容用表格比 prose 效果好
流程类内容用有序列表比段落效果好
每个段落只传递一个清晰的观点

Pillar 2: Authority — Make Content Citable

支柱2：权威性——让内容可引用

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
~~Keyword stuffing~~	-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系统偏好可信任的来源，要提升内容的引用价值。

普林斯顿GEO研究（KDD 2024，基于Perplexity.ai的全场景研究）列出了9种优化方法的效果排名：

方法	可见度提升幅度	落地方式
引用来源	+40%	添加带链接的权威参考资料
添加统计数据	+37%	加入带来源的具体数值
添加引用语录	+30%	标注姓名和职位的专家观点
权威语气	+25%	以具备专业经验的口吻写作
提升清晰度	+20%	简化复杂概念
使用专业术语	+18%	使用领域专属术语
独特词汇	+15%	提升词汇多样性
流畅度优化	+15-30%	提升可读性和内容连贯性
~~关键词堆砌~~	-10%	会直接损害AI可见度

最优组合： 流畅度 + 统计数据 = 提升效果最大化。低排名站点收益更高——添加引用后可见度最高可提升115%。

统计数据和数据（+37-40%引用提升）

加入带来源的具体数值
引用原始研究，不要引用研究的汇总内容
所有统计数据标注日期
原始数据优于聚合数据

专家归属（+25-30%引用提升）

标注作者姓名和相关资质
标注专家观点的所属职位和机构
主张使用"根据[来源]"的表述
作者简介体现相关专业经验

新鲜度信号

醒目位置展示"最近更新：[日期]"
定期更新内容（竞争激烈的主题至少每季度更新一次）
引用当前年份的参考资料和最新统计数据
删除或更新过时信息

E-E-A-T对齐

体现一手经验
提供具体详细的信息（不要泛泛而谈）
透明的来源和方法论说明
明确体现作者在该主题下的专业能力

Pillar 3: Presence — Be Where AI Looks

支柱3：露出——出现在AI检索的范围中

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系统不只引用你的官网——它们会引用你出现的所有平台。

第三方来源比自有站点更重要：

维基百科提及（占ChatGPT所有引用的7.8%）
Reddit讨论（占ChatGPT引用的1.8%）
行业出版物和客座文章
测评网站（B2B SaaS类的G2、Capterra、TrustRadius）
YouTube（经常被Google AI Overviews引用）
Quora回答

行动项：

确保你的维基百科页面准确且及时更新
真诚参与Reddit社区讨论
争取入选行业汇总和对比文章
在相关测评平台维护最新的品牌资料
针对核心操作类查询制作YouTube内容
深度回答相关的Quora问题

Schema Markup for AI

面向AI的Schema标记

Structured data helps AI systems understand your content. Key schemas:

Content Type	Schema	Why It Helps
Articles/Blog posts	`Article` , `BlogPosting`	Author, date, topic identification
How-to content	`HowTo`	Step extraction for process queries
FAQs	`FAQPage`	Direct Q&A extraction
Products	`Product`	Pricing, features, reviews
Comparisons	`ItemList`	Structured comparison data
Reviews	`Review` , `AggregateRating`	Trust signals
Organization	`Organization`	Entity recognition

Content with proper schema shows 30-40% higher AI visibility. For implementation, use the schema-markup skill.

结构化数据帮助AI系统理解你的内容，核心Schema类型：

内容类型	Schema	作用
文章/博客帖子	`Article` , `BlogPosting`	识别作者、日期、主题
操作指南内容	`HowTo`	为流程类查询提取步骤
FAQ	`FAQPage`	直接提取问答内容
产品	`Product`	提取定价、功能、评价
对比内容	`ItemList`	结构化对比数据
评价	`Review` , `AggregateRating`	信任信号
机构	`Organization`	实体识别

配置了正确Schema的内容AI可见度高出30-40%，落地可使用schema-markup skill。

Content Types That Get Cited Most

最容易获得引用的内容类型

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)

不是所有内容的可引用性都相同，优先优化以下格式：

内容类型	引用占比	AI引用原因
对比文章	~33%	结构化、客观中立、用户意图强
权威指南	~15%	内容全面、权威性强
原始研究/数据	~12%	独特、可引用的统计数据
最佳推荐/清单文	~10%	结构清晰、实体信息丰富
产品页	~10%	AI可提取的具体细节丰富
操作指南	~8%	分步结构清晰
观点/分析	~10%	专家视角、适合引用

AI引用表现差的内容：

无结构的通用博客帖子
充满营销话术的单薄产品页
gated内容（AI无法访问）
无日期或作者归属的内容
仅提供PDF格式的内容（AI解析难度高）

Monitoring AI Visibility

监控AI可见度

What to Track

需要追踪的指标

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	衡量维度	检查方式
AI Overview露出率	你的查询词有多少展示了AI Overviews？	手动检查或Semrush/Ahrefs
品牌引用率	你在AI答案中被引用的频率	AI可见度工具（见下文）
AI声量份额	你和竞争对手的引用占比对比	Peec AI、Otterly、ZipTie
引用情绪	AI描述你的品牌的倾向	人工审核+监控工具
来源归属	你的哪些页面被引用	追踪AI来源的推荐流量

AI Visibility Monitoring Tools

AI可见度监控工具

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声量份额追踪
Peec AI	ChatGPT、Gemini、Perplexity、Claude、Copilot+	大规模多平台监控
ZipTie	Google AI Overviews、ChatGPT、Perplexity	品牌提及+情绪追踪
LLMrefs	ChatGPT、Perplexity、AI Overviews、Gemini	SEO关键词→AI可见度映射

DIY Monitoring (No Tools)

无工具自主监控方案

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：

选取Top20核心查询词
在ChatGPT、Perplexity、Google分别检索
记录：你是否被引用？谁被引用了？哪个页面被引用？
录入表格，追踪环比变化

AI SEO for Different Content Types

不同内容类型的AI SEO优化要点

SaaS Product Pages

SaaS产品页

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[品类]？"和"最佳[品类]"类查询中获得引用。

优化方向：

首段清晰描述产品（用途、适配人群）
功能对比表格（你和品类整体的对比，不只是和竞争对手）
具体指标（"每秒处理10000笔交易"而非"速度极快"）
带数值的客户规模或社会证明
定价透明（AI偏好引用有明确定价的页面）
FAQ板块解答买家常见问题

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： 作为所在领域的权威来源获得引用。

优化方向：

每篇文章对应一个明确的目标查询词（标题与查询词匹配）
针对"什么是"类查询在首段给出定义
加入原始数据、研究或专家观点
展示"最近更新"日期
作者简介体现相关资质
添加指向相关产品/功能页的内部链接

Comparison/Alternative Pages

对比/替代品页面

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]替代品"类查询中获得引用。

优化方向：

结构化对比表格（不要只用纯文字描述）
客观中立（AI会惩罚明显有偏见的对比内容）
带评分的具体评估标准
更新的定价和功能数据
可使用competitor-alternatives skill搭建这类页面

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"如何用[你的产品]做[X]"类查询中获得引用。

优化方向：

带有序列表的分步说明格式
相关场景下添加代码示例
配置HowTo schema标记
截图附带描述性alt文本
明确的前置条件和预期结果

Common Mistakes

常见错误

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 because AI systems weight recency heavily. 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

完全忽略AI搜索 —— 目前约45%的Google搜索会展示AI Overviews，ChatGPT、Perplexity的用户量也在快速增长
把AI SEO和传统SEO割裂 —— 优秀的传统SEO是基础，AI SEO是在基础上叠加结构和权威性优化
为AI写作而非为人类写作 —— 如果内容读起来像专门为算法创作的，既不会获得引用也不会转化
没有新鲜度信号 —— 无日期的内容表现弱于有日期的内容，因为AI系统非常看重时效性，要展示内容的最近更新时间
所有内容都设为gated —— AI无法访问gated内容，把你最权威的内容开放访问
忽略第三方露出 —— 你从维基百科提及获得的AI引用可能比自有博客还多
没有结构化数据 —— Schema标记为AI系统提供内容的结构化上下文
关键词堆砌 —— 传统SEO中关键词堆砌只是没效果，在AI SEO中会直接降低10%的可见度（普林斯顿GEO研究）
屏蔽AI爬虫 —— 如果robots.txt屏蔽了GPTBot、PerplexityBot或ClaudeBot，这些平台就无法引用你的内容
没有数据的泛泛内容 —— "我们是最好的"不会获得引用，"我们的客户在[指标]上提升了3倍"会获得引用
忘记监控 —— 你无法优化没有衡量的内容，至少每月检查一次AI可见度

Tool Integrations

工具集成

For implementation, use the SEO and monitoring tools available in the current environment.

Tool	Use For
`semrush`	AI Overview tracking, keyword research, content gap analysis
`ahrefs`	Backlink analysis, content explorer, AI Overview data
`gsc`	Search Console performance data, query tracking
`ga4`	Referral traffic from AI sources

落地优化可使用当前环境中可用的SEO和监控工具：

工具	用途
`semrush`	AI Overview追踪、关键词研究、内容缺口分析
`ahrefs`	外链分析、内容探索、AI Overview数据
`gsc`	Search Console表现数据、查询词追踪
`ga4`	AI来源的推荐流量统计

Task-Specific Questions

任务专属问题

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?

你最重要的10-20个核心查询词是什么？
你是否检查过这些查询词目前是否有AI答案？
你的站点是否部署了结构化数据（schema markup）？
你发布什么类型的内容？（博客、文档、对比内容等）
有没有AI引用了竞争对手但没有引用你的场景？
你是否有维基百科页面或在测评站点有露出？

ai-seo

Original

Translation

AI SEO

AI SEO

When to Use

适用场景

Before Starting

开始前准备

1. Current AI Visibility

1. 当前AI可见度

2. Content & Domain

2. 内容与域名情况

3. Goals

3. 目标

4. Competitive Landscape

4. 竞争格局

How AI Search Works

AI搜索的工作原理

The AI Search Landscape

AI搜索行业格局

Key Difference from Traditional SEO

与传统SEO的核心差异

AI Visibility Audit

AI可见度审计

Step 1: Check AI Answers for Your Key Queries

步骤1：针对核心查询词检查AI答案

Step 2: Analyze Citation Patterns

步骤2：分析引用规律

Step 3: Content Extractability Check

步骤3：内容可提取性检查

Step 4: AI Bot Access Check

步骤4：AI爬虫访问权限检查

Optimization Strategy

优化策略

The Three Pillars

三大支柱

Pillar 1: Structure — Make Content Extractable

支柱1：结构——让内容可提取

Pillar 2: Authority — Make Content Citable

支柱2：权威性——让内容可引用

Pillar 3: Presence — Be Where AI Looks

支柱3：露出——出现在AI检索的范围中

Schema Markup for AI

面向AI的Schema标记

Content Types That Get Cited Most

最容易获得引用的内容类型

Monitoring AI Visibility

监控AI可见度

What to Track

需要追踪的指标

AI Visibility Monitoring Tools

AI可见度监控工具

DIY Monitoring (No Tools)

无工具自主监控方案

AI SEO for Different Content Types

不同内容类型的AI SEO优化要点

SaaS Product Pages

SaaS产品页

Blog Content

博客内容

Comparison/Alternative Pages

对比/替代品页面

Documentation / Help Content

文档/帮助内容

Common Mistakes

常见错误

Tool Integrations

工具集成

Task-Specific Questions

任务专属问题

Related Skills

相关Skills