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Blog GEO -- AI Citation Optimization Audit

博客GEO -- AI引用优化审计

Scores blog posts for AI citation readiness across ChatGPT, Perplexity, and Google AI Overviews. Generates citation capsules and a 0-100 AI Citation Readiness score with platform-specific recommendations.
为博客文章在ChatGPT、Perplexity和谷歌AI概览中的AI引用就绪性打分,生成引用胶囊和0-100分的AI引用就绪性评分,并提供针对各平台的专属建议。

Cross-reference

交叉参考

This skill covers FLOW surface 3 (AI assistant citations: ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com) and contributes to surface 2 (SERP plus AI Overviews). Surface mapping:
skills/blog/references/flow-alignment.md
.
For directly relevant AI-citation prompts (AI-supporting-pages-rewrite-prompt, ai-detector-test, ChatGPT discovery, visibility prompts), see
/blog flow optimize
.
本技能涵盖FLOW表面3(AI助手引用:ChatGPT、Perplexity、Claude、Gemini、Copilot、You.com),并对表面2(搜索结果页+AI概览)有贡献。表面映射文件:
skills/blog/references/flow-alignment.md
如需直接相关的AI引用提示词(AI-supporting-pages-rewrite-prompt、ai-detector-test、ChatGPT discovery、visibility prompts),请查看
/blog flow optimize

Key Research Data

关键研究数据

Reference these benchmarks throughout the audit:
  • Only 11% of domains cited by both ChatGPT and Perplexity (Digital Bloom, domain-level)
  • 80% of LLM citations don't rank in Google's top 100 (Ahrefs)
  • Brands 6.5x more likely cited through third-party sources (AirOps)
  • 120-180 word sections get 70% more ChatGPT citations (SE Ranking, Nov 2025)
  • Comparison tables with
    <thead>
    achieve 47% higher AI citation rates (directional)
  • Content freshness: 76.4% of top citations updated within 30 days (Ahrefs, ~17M citations)
审计全程参考以下基准数据:
  • 仅11%的域名同时被ChatGPT和Perplexity引用(Digital Bloom,域名层面)
  • 80%的大语言模型(LLM)引用内容未进入谷歌前100排名(Ahrefs)
  • 品牌通过第三方来源被引用的概率是直接引用的6.5倍(AirOps)
  • 120-180词的段落获得ChatGPT引用的概率高出70%(SE Ranking,2025年11月)
  • 带有
    <thead>
    的对比表格AI引用率高出47%(定向数据)
  • 内容新鲜度:76.4%的顶级引用内容在30天内更新过(Ahrefs,约1700万条引用数据)

Audit Process

审计流程

Step 1: Read Content

步骤1:读取内容

Extract from the blog post:
  • Full content text and word count
  • Heading structure (H1, H2, H3 hierarchy)
  • Individual paragraphs and their word counts
  • FAQ sections (if present)
  • Schema markup (JSON-LD, microdata, RDFa)
  • robots.txt mentions or meta robots directives
  • Any TL;DR or summary boxes
  • Comparison tables and their HTML structure
  • Numbered/ordered lists
  • Definition-style formatting
从博客文章中提取以下信息:
  • 完整内容文本及字数
  • 标题结构(H1、H2、H3层级)
  • 单个段落及其字数
  • FAQ板块(如有)
  • Schema标记(JSON-LD、微数据、RDFa)
  • robots.txt提及内容或meta robots指令
  • 任何TL;DR或摘要框
  • 对比表格及其HTML结构
  • 编号/有序列表
  • 定义式格式

Step 2: Passage-Level Citability (4 pts)

步骤2:段落级可引用性(4分)

Check each section between headings for AI-extractable passages:
CheckCriteria
Word countEach section contains 120-180 word self-contained passages
Context independenceEach passage makes sense extracted from surrounding context
Claim structurePassages contain: specific claim + supporting evidence + source attribution
CompletenessPassage answers a question without requiring reader to read adjacent sections
Scoring: Count passages meeting all criteria vs total sections.
  • 4 pts: 80%+ sections have citable passages
  • 3 pts: 60-79%
  • 2 pts: 40-59%
  • 1 pt: 20-39%
  • 0 pts: <20%
检查标题之间的每个段落是否为可被AI提取的内容:
检查项标准
字数每个段落包含120-180词的独立完整内容
上下文独立性段落脱离上下文仍表意清晰
声明结构段落包含:具体声明 + 支持证据 + 来源归因
完整性段落无需读者阅读相邻内容即可回答问题
评分规则: 统计符合所有标准的段落数占总段落数的比例。
  • 4分:80%及以上段落为可引用段落
  • 3分:60-79%
  • 2分:40-59%
  • 1分:20-39%
  • 0分:低于20%

Step 3: Q&A Formatting (3 pts)

步骤3:问答格式(3分)

Check heading format and answer structure:
CheckCriteria
Question headings60-70% of H2s are phrased as questions
Answer-first formatOpening paragraph under each H2 provides a direct answer
FAQ sectionDedicated FAQ section with structured question-answer pairs
Scoring:
  • 3 pts: All three criteria met
  • 2 pts: Two criteria met
  • 1 pt: One criterion met
  • 0 pts: None met
检查标题格式和回答结构:
检查项标准
问题式标题60-70%的H2标题以问题形式呈现
先答后述格式每个H2下的开篇段落提供直接答案
FAQ板块设有专门的FAQ板块,包含结构化问答对
评分规则:
  • 3分:满足所有三项标准
  • 2分:满足两项标准
  • 1分:满足一项标准
  • 0分:均不满足

Step 4: Entity Clarity (3 pts)

步骤4:实体清晰度(3分)

Check topic consistency and disambiguation:
CheckCriteria
Canonical topicOne unambiguous primary topic per page
Consistent namingSame entity name used throughout (no confusing synonyms)
Intro statementClear topic statement in the introduction paragraph
Title-content matchTitle accurately reflects the content focus
Scoring:
  • 3 pts: All four criteria met
  • 2 pts: Three criteria met
  • 1 pt: One or two criteria met
  • 0 pts: None met
检查主题一致性和歧义消除:
检查项标准
规范主题每页仅有一个明确的核心主题
命名一致性全程使用同一实体名称(无易混淆同义词)
开篇陈述引言段落包含清晰的主题说明
标题内容匹配标题准确反映内容核心
评分规则:
  • 3分:满足所有四项标准
  • 2分:满足三项标准
  • 1分:满足一至两项标准
  • 0分:均不满足

Step 5: Content Structure for Extraction (3 pts)

步骤5:提取友好型内容结构(3分)

Check for AI-extractable content patterns:
CheckCriteria
TL;DR box40-60 word standalone summary present at top
Comparison tablesTables with proper HTML
<thead>
(47% higher citation rate)
Ordered listsNumbered lists for processes and step-by-step instructions
Definition formattingKey terms formatted with clear definition patterns
Citation capsules40-60 word definitive statements in each major section
Scoring:
  • 3 pts: 4-5 elements present
  • 2 pts: 3 elements present
  • 1 pt: 1-2 elements present
  • 0 pts: None present
检查是否存在便于AI提取的内容模式:
检查项标准
TL;DR框页面顶部设有40-60词的独立摘要框
对比表格表格带有规范的HTML
<thead>
(AI引用率高出47%)
有序列表使用编号列表呈现流程和分步说明
定义格式关键术语采用清晰的定义格式呈现
引用胶囊每个主要板块包含40-60词的权威性陈述
评分规则:
  • 3分:存在4-5项元素
  • 2分:存在3项元素
  • 1分:存在1-2项元素
  • 0分:均不存在

Step 6: AI Crawler Accessibility (2 pts)

步骤6:AI爬虫可访问性(2分)

Check technical requirements for AI crawler indexing:
CheckCriteria
Static HTMLContent rendered in static HTML, not behind JavaScript
robots.txtAllows AI crawlers: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot
Schema in HTMLSchema markup in static HTML, not JS-injected
Page sizeReasonable page size within AI crawler limits
Scoring:
  • 2 pts: All criteria met
  • 1 pt: Most criteria met but one issue
  • 0 pts: Multiple issues blocking AI crawlers
检查AI爬虫索引的技术要求:
检查项标准
静态HTML内容以静态HTML渲染,而非隐藏在JavaScript后
robots.txt允许AI爬虫访问:GPTBot、ChatGPT-User、ClaudeBot、PerplexityBot
HTML内嵌SchemaSchema标记内嵌于静态HTML,而非通过JavaScript注入
页面大小页面大小合理,符合AI爬虫限制
评分规则:
  • 2分:满足所有标准
  • 1分:大部分标准满足,但存在一个问题
  • 0分:存在多个阻碍AI爬虫的问题

Step 7: Platform-Specific Analysis

步骤7:平台专属分析

Evaluate the post for each AI platform's citation preferences:
针对各AI平台的引用偏好评估文章:

ChatGPT

ChatGPT

  • Favors "Best X" listicles (43.8% of citations)
  • Prefers well-cited, authoritative content
  • Recency matters -- recent updates get priority
  • Domain authority influences citation likelihood
  • 偏好“最佳X”类清单文章(占引用量的43.8%)
  • 倾向于引用来源可靠、权威性高的内容
  • 时效性重要——近期更新内容优先
  • 域名权重影响引用概率

Perplexity

Perplexity

  • Favors Reddit sources (6.6% of all citations)
  • Rapid content decay: 2-3 day citation window
  • Freshness is the most critical factor
  • Community-validated content preferred
  • 偏好Reddit来源(占总引用量的6.6%)
  • 内容衰减快:引用窗口仅2-3天
  • 新鲜度是最关键因素
  • 优先选择经社区验证的内容

Google AI Overviews

谷歌AI概览

  • Favors Google properties (23% of citations)
  • High Domain Rating strongly correlated with citation
  • Present in 49% of SERPs
  • Prefers content that already ranks well organically
For each platform, provide:
  • Current citability rating (High / Medium / Low)
  • Specific improvements to increase citation likelihood
  • Content format recommendations
  • 偏好谷歌自有平台内容(占引用量的23%)
  • 高域名评级与引用概率高度相关
  • 出现在49%的搜索结果页中
  • 偏好已在自然搜索中排名靠前的内容
针对每个平台,提供:
  • 当前可引用性评级(高/中/低)
  • 提升引用概率的具体改进建议
  • 内容格式推荐

Step 8: Generate Citation Capsules

步骤8:生成引用胶囊

For each H2 section in the post, write a citation capsule:
  • Length: 40-60 words, self-contained
  • Structure: Specific claim + data point + source attribution
  • Purpose: A passage AI could directly quote as a citation
  • Format: Present as a suggested addition the author can embed
Example:
According to [Source], [specific claim with number]. This represents
[context/comparison], making it [significance]. [Supporting detail
that reinforces the claim].
Generate one capsule per H2 section. Label each with the section heading it belongs under.
为文章中的每个H2板块撰写引用胶囊:
  • 长度:40-60词,独立完整
  • 结构:具体声明 + 数据点 + 来源归因
  • 目的:可供AI直接引用的段落
  • 格式:作为建议添加内容呈现,供作者嵌入
示例:
根据[来源],[带具体数字的声明]。这代表了[背景/对比],使其具备[重要性]。[强化声明的支持细节]。
每个H2板块生成一个引用胶囊,并标注所属板块标题。

Step 9: Calculate AI Citation Readiness Score (0-100)

步骤9:计算AI引用就绪性评分(0-100分)

Map the 15-point subcategory scores to a 0-100 display score:
CategoryRaw PointsDisplay WeightMax Display Score
Passage-Level Citability/4x6.7527
Q&A Formatting/3x6.6720
Entity Clarity/3x6.6720
Content Structure/3x6.6720
AI Crawler Accessibility/2x6.513
Total/15100
Rating thresholds:
  • 90-100: Excellent -- highly citable by AI systems
  • 70-89: Good -- citable with minor improvements
  • 50-69: Needs Work -- significant gaps in citability
  • Below 50: Poor -- major restructuring needed
将15分的子类别分数映射为0-100分的展示分数:
类别原始得分展示权重最高展示分数
段落级可引用性/4×6.7527
问答格式/3×6.6720
实体清晰度/3×6.6720
内容结构/3×6.6720
AI爬虫可访问性/2×6.513
总计/15100
评级阈值:
  • 90-100:优秀——AI系统高度可能引用
  • 70-89:良好——可引用,仅需小幅改进
  • 50-69:需优化——可引用性存在显著差距
  • 低于50:较差——需大幅重构

Step 10: Generate Report

步骤10:生成报告

Output the following report:
undefined
输出以下格式的报告:
undefined

AI Citation Readiness Report: [Title]

AI引用就绪性报告:[标题]

AI Citation Readiness Score: [X]/100 -- [Rating]
AI引用就绪性评分:[X]/100 -- [评级]

Score Breakdown

得分明细

CategoryRawDisplayMax
Passage-Level CitabilityX/4X27
Q&A FormattingX/3X20
Entity ClarityX/3X20
Content StructureX/3X20
AI Crawler AccessibilityX/2X13
TotalX/15X100
类别原始分展示分最高分
段落级可引用性X/4X27
问答格式X/3X20
实体清晰度X/3X20
内容结构X/3X20
AI爬虫可访问性X/2X13
总计X/15X100

Per-Section Citability Analysis

各板块可引用性分析

Section (H2)Word CountSelf-ContainedClaim+EvidenceCitable
[heading][N]Yes/NoYes/NoYes/No
板块(H2)字数独立性声明+证据可引用
[标题][N]是/否是/否是/否

Platform-Specific Optimization

平台专属优化建议

ChatGPT

ChatGPT

  • [specific recommendations]
  • [具体建议]

Perplexity

Perplexity

  • [specific recommendations]
  • [具体建议]

Google AI Overviews

谷歌AI概览

  • [specific recommendations]
  • [具体建议]

Generated Citation Capsules

生成的引用胶囊

[H2 Section 1]

[H2板块1]

[40-60 word citation capsule]
[40-60词的引用胶囊]

[H2 Section 2]

[H2板块2]

[40-60 word citation capsule]
[40-60词的引用胶囊]

Technical Recommendations

技术建议

  • [Technical fix with specifics]
  • [具体技术修复方案]

Priority Action Items

优先行动项

  1. [Most impactful improvement]
  2. [Second most impactful]
  3. [Third most impactful]
Run
/blog analyze <file>
for full content quality scoring.
undefined
  1. [影响最大的改进措施]
  2. [次重要的改进措施]
  3. [第三重要的改进措施]
运行
/blog analyze <file>
获取完整内容质量评分。
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Optional: Search Performance Context (blog-google)

可选:搜索表现背景(blog-google)

If blog-google credentials include Tier 1 (GSC) and the post has a published URL:
  1. Query GSC:
    python3 skills/blog-google/scripts/run.py gsc_query --property <property> --filter-page <url> --json
  2. Add to platform-specific analysis:
    • Current impressions, clicks, CTR, average position
    • Search queries driving traffic to this URL
  3. Check indexation:
    python3 skills/blog-google/scripts/run.py gsc_inspect <url> --json
  4. Report indexation status, canonical selection, mobile usability.
  5. Falls back silently if not configured.
若blog-google凭据包含Tier 1(谷歌搜索控制台GSC)且文章已发布URL:
  1. 查询GSC:
    python3 skills/blog-google/scripts/run.py gsc_query --property <property> --filter-page <url> --json
  2. 将以下信息添加至平台专属分析:
    • 当前曝光量、点击量、点击率、平均排名
    • 为该URL带来流量的搜索查询词
  3. 检查索引状态:
    python3 skills/blog-google/scripts/run.py gsc_inspect <url> --json
  4. 报告索引状态、规范URL选择、移动端可用性。
  5. 若未配置则自动跳过。