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Content Quality & E-E-A-T Analysis

内容质量与E-E-A-T分析

E-E-A-T Framework (updated Sept 2025 QRG)

E-E-A-T框架（2025年9月QRG更新版）

Read

seo/references/eeat-framework.md

for full criteria.

完整标准请查阅

seo/references/eeat-framework.md

。

Experience (first-hand signals)

经验（一手信号）

Original research, case studies, before/after results
Personal anecdotes, process documentation
Unique data, proprietary insights
Photos/videos from direct experience

原创研究、案例研究、前后对比结果
个人轶事、流程文档
独特数据、专有见解
来自直接经验的照片/视频

Expertise

专业度

Author credentials, certifications, bio
Professional background relevant to topic
Technical depth appropriate for audience
Accurate, well-sourced claims

作者资质、认证、个人简介
与主题相关的专业背景
符合受众需求的技术深度
准确、来源可靠的主张

Authoritativeness

权威性

External citations, backlinks from authoritative sources
Brand mentions, industry recognition
Published in recognized outlets
Cited by other experts

外部引用、来自权威来源的反向链接
品牌提及、行业认可
在知名平台发布
被其他专家引用

Trustworthiness

可信度

Contact information, physical address
Privacy policy, terms of service
Customer testimonials, reviews
Date stamps, transparent corrections
Secure site (HTTPS)

联系信息、实际地址
隐私政策、服务条款
客户推荐、评价
日期标记、透明的更正记录
安全站点（HTTPS）

Content Metrics

内容指标

Word Count Analysis

字数分析

Compare against page type minimums:

Page Type	Minimum
Homepage	500
Service page	800
Blog post	1,500
Product page	300+ (400+ for complex products)
Location page	500-600

Important: These are topical coverage floors, not targets. Google has confirmed word count is NOT a direct ranking factor. The goal is comprehensive topical coverage — a 500-word page that thoroughly answers the query will outrank a 2,000-word page that doesn't. Use these as guidelines for adequate coverage depth, not rigid requirements.

与页面类型最低要求对比：

页面类型	最低要求
首页	500
服务页	800
博客文章	1,500
产品页	300+（复杂产品需400+）
本地页	500-600

重要提示：这些是主题覆盖底线，而非目标。谷歌已确认字数并非直接排名因素。目标是全面覆盖主题——一篇500字但能彻底解答用户查询的页面，排名会超过一篇2000字但答非所问的页面。将这些作为充分覆盖深度的指导方针，而非硬性要求。

Readability

可读性

Flesch Reading Ease: target 60-70 for general audience

Note: Flesch Reading Ease is a useful proxy for content accessibility but is NOT a direct Google ranking factor. John Mueller has confirmed Google does not use basic readability scores for ranking. Yoast deprioritized Flesch scores in v19.3. Use readability analysis as a content quality indicator, not as an SEO metric to optimize directly.

Grade level: match target audience
Sentence length: average 15-20 words
Paragraph length: 2-4 sentences

弗莱施可读性评分：面向普通受众的目标值为60-70

注意：弗莱施可读性评分是衡量内容可访问性的有用指标，但并非谷歌的直接排名因素。John Mueller已确认谷歌不会将基础可读性分数用于排名。Yoast在v19.3版本中降低了弗莱施分数的优先级。将可读性分析作为内容质量指标，而非直接优化的SEO指标。

年级水平：匹配目标受众
句子长度：平均15-20词
段落长度：2-4句

Keyword Optimization

关键词优化

Primary keyword in title, H1, first 100 words
Natural density (1-3%)
Semantic variations present
No keyword stuffing

核心关键词出现在标题、H1、前100词中
自然密度（1-3%）
包含语义变体
无关键词堆砌

Content Structure

内容结构

Logical heading hierarchy (H1 → H2 → H3)
Scannable sections with descriptive headings
Bullet/numbered lists where appropriate
Table of contents for long-form content

逻辑化标题层级（H1 → H2 → H3）
带描述性标题的易扫描章节
适当使用项目符号/编号列表
长文内容添加目录

Multimedia

多媒体内容

Relevant images with proper alt text
Videos where appropriate
Infographics for complex data
Charts/graphs for statistics

带合适替代文本的相关图片
适当使用视频
针对复杂数据的信息图
用于统计数据的图表

Internal Linking

内部链接

3-5 relevant internal links per 1000 words
Descriptive anchor text
Links to related content
No orphan pages

每1000词包含3-5个相关内部链接
描述性锚文本
链接到相关内容
无孤立页面

External Linking

外部链接

Cite authoritative sources
Open in new tab for user experience
Reasonable count (not excessive)

引用权威来源
为用户体验在新标签页打开
合理数量（不过度）

AI Content Assessment (Sept 2025 QRG addition)

AI内容评估（2025年9月QRG新增内容）

Google's raters now formally assess whether content appears AI-generated.

谷歌评级人员现在会正式评估内容是否由AI生成。

Acceptable AI Content

可接受的AI内容

Demonstrates genuine E-E-A-T
Provides unique value
Has human oversight and editing
Contains original insights

展现真实的E-E-A-T
提供独特价值
有人工监督与编辑
包含原创见解

Low-Quality AI Content Markers

低质量AI内容特征

Generic phrasing, lack of specificity
No original insight
Repetitive structure across pages
No author attribution
Factual inaccuracies

Helpful Content System (March 2024): The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signals are now weighted within every core update — the same principles apply (people-first content, demonstrating E-E-A-T, satisfying user intent), but enforcement is continuous rather than through separate HCU updates.

通用表述、缺乏针对性
无原创见解
页面间结构重复
无作者署名
事实错误

有用内容系统（2024年3月）：有用内容系统在2024年3月的核心更新中被整合到谷歌的核心排名算法中，不再作为独立分类器运行。有用性信号现在在每次核心更新中都被加权——原则保持不变（以人为本的内容、展现E-E-A-T、满足用户意图），但执行是持续的，而非通过单独的HCU更新。

AI Citation Readiness (GEO signals)

AI引用就绪度（GEO信号）

Optimize for AI search engines (ChatGPT, Perplexity, Google AI Overviews):

Clear, quotable statements with statistics/facts
Structured data (especially for data points)
Strong heading hierarchy (H1→H2→H3 flow)
Answer-first formatting for key questions
Tables and lists for comparative data
Clear attribution and source citations

针对AI搜索引擎（ChatGPT、Perplexity、谷歌AI概览）进行优化：

清晰、可引用的带统计/事实的表述
结构化数据（尤其针对数据点）
清晰的标题层级（H1→H2→H3逻辑）
关键问题的先答后展格式
用于对比数据的表格和列表
清晰的署名和来源引用

AI Search Visibility & GEO (2025-2026)

AI搜索可见性与GEO（2025-2026年）

Google AI Mode launched publicly in May 2025 as a separate tab in Google Search, available in 180+ countries. Unlike AI Overviews (which appear above organic results), AI Mode provides a fully conversational search experience with zero organic blue links — making AI citation the only visibility mechanism.

Key optimization strategies for AI citation:

Structured answers: Clear question-answer formats, definition patterns, and step-by-step instructions that AI systems can extract and cite
First-party data: Original research, statistics, case studies, and unique datasets are highly cited by AI systems
Schema markup: Article, FAQ (for non-Google AI platforms), and structured content schemas help AI systems parse and attribute content
Topical authority: AI systems preferentially cite sources that demonstrate deep expertise — build content clusters, not isolated pages
Entity clarity: Ensure brand, authors, and key concepts are clearly defined with structured data (Organization, Person schema)
Multi-platform tracking: Monitor visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Bing Copilot — not just traditional rankings. Treat AI citation as a standalone KPI alongside organic rankings and traffic.

Generative Engine Optimization (GEO): GEO is the emerging discipline of optimizing content specifically for AI-generated answers. Key GEO signals include: quotability (clear, concise extractable facts), attribution (source citations within your content), structure (well-organized heading hierarchy), and freshness (regularly updated data). Cross-reference the

seo-geo

skill for detailed GEO workflows.

谷歌AI模式于2025年5月正式推出，作为谷歌搜索中的独立标签页，在180多个国家可用。与AI概览（出现在自然搜索结果上方）不同，AI模式提供全对话式搜索体验，无自然蓝色链接——这使得AI引用成为唯一的曝光机制。

AI引用关键优化策略：

结构化答案：清晰的问答格式、定义模式和分步说明，方便AI系统提取并引用
第一方数据：原创研究、统计数据、案例研究和独特数据集被AI系统高度引用
Schema标记：文章、FAQ（针对非谷歌AI平台）和结构化内容Schema帮助AI系统解析并归属内容
主题权威性：AI系统优先引用展现深度专业度的来源——构建内容集群，而非孤立页面
实体清晰度：确保品牌、作者和关键概念通过结构化数据（组织、人物Schema）明确定义
多平台追踪：监控在谷歌AI概览、AI模式、ChatGPT、Perplexity和Bing Copilot中的可见性——而非仅关注传统排名。将AI引用作为与自然排名、流量并列的独立KPI。

生成式引擎优化（GEO）： GEO是专门针对AI生成答案优化内容的新兴学科。关键GEO信号包括：可引用性（清晰、简洁的可提取事实）、归因（内容内的来源引用）、结构（条理清晰的标题层级）和新鲜度（定期更新的数据）。参考

seo-geo

技能获取详细的GEO工作流程。

Content Freshness

内容新鲜度

Publication date visible
Last updated date if content has been revised
Flag content older than 12 months without update for fast-changing topics

显示发布日期
若内容已修订，显示最后更新日期
针对快速变化的主题，标记超过12个月未更新的内容

Output

输出结果

Content Quality Score: XX/100

内容质量评分：XX/100

E-E-A-T Breakdown

E-E-A-T细分评分

Factor	Score	Key Signals
Experience	XX/25	...
Expertise	XX/25	...
Authoritativeness	XX/25	...
Trustworthiness	XX/25	...

因素	评分	关键信号
经验	XX/25	...
专业度	XX/25	...
权威性	XX/25	...
可信度	XX/25	...