blog-strategy

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Blog Strategy -- Positioning & Content Architecture

博客策略——定位与内容架构

Develops comprehensive blog strategies that build topical authority for Google rankings while establishing brand presence for AI citation platforms. Includes topic cluster architecture, AI citation surface strategy, content scoring targets, and GEO-specific optimization plans.

制定全面的博客策略，在提升Google排名 topical authority（主题权威性）的同时，在AI引用平台建立品牌存在感。内容涵盖主题集群架构、AI引用场景策略、内容评分指标，以及面向特定区域的优化方案。

Workflow

工作流程

Step 1: Discovery

步骤1：需求挖掘

Gather context through questions or project analysis:

Business: What do you sell/do? Who are your customers?
Blog goals: Traffic? Leads? Authority? AI citations?
Current state: Existing blog content? (scan if project available)
Competitors: Who are your 3-5 main competitors?
Differentiator: What unique expertise or data do you have?
Resources: Writing capacity (posts/week), budget for visuals?

通过提问或项目分析收集背景信息：

业务情况：您的业务是什么？目标客户群体是哪些？
博客目标：获取流量？线索转化？建立权威？获得AI引用？
当前状态：是否已有博客内容？（若有项目可进行扫描）
竞品情况：您的3-5个主要竞品是谁？
差异化优势：您拥有哪些独特的专业知识或数据？
资源情况：内容产出能力（每周可发布篇数）、视觉内容预算？

Step 2: Competitive Landscape

步骤2：竞品格局分析

Research competitors' blogs:

WebSearch for competitor blog URLs
For each competitor, assess:
- Publishing frequency
- Content types (guides, case studies, comparisons, news)
- Visual quality (images, charts, videos)
- Schema usage
- Social distribution (YouTube, Reddit, LinkedIn)
- AI citation presence (search ChatGPT/Perplexity for industry terms)
Identify gaps no competitor covers well

研究竞品的博客：

通过网络搜索获取竞品博客网址
针对每个竞品，评估以下维度：
- 发布频率
- 内容类型（指南、案例研究、对比分析、资讯）
- 视觉质量（图片、图表、视频）
- Schema（结构化数据）使用情况
- 社交分发（YouTube、Reddit、LinkedIn）
- AI引用存在感（在ChatGPT/Perplexity中搜索行业术语查看引用情况）
找出竞品未充分覆盖的内容空白

Competitive AI Citation Analysis

竞品AI引用分析

Map competitor visibility across AI platforms. Use WebSearch to find how competitors appear in AI-generated responses for target keywords.

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梳理竞品在各AI平台的曝光情况。通过网络搜索，查看竞品在目标关键词的AI生成回复中的出现情况。

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Competitive AI Citation Map

竞品AI引用映射表

Query	ChatGPT Cites	Perplexity Cites	AI Overview Cites	Gap?
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]


Score each competitor's AI visibility:
- **High**: Cited in 3/3 platforms for multiple queries
- **Medium**: Cited in 1-2 platforms or for limited queries
- **Low**: Rarely cited, only in niche queries
- **None**: No AI citation presence detected

Identify AI citation gaps -- queries where no competitor is cited. These
represent the highest-opportunity targets for new content.

Note: Only 12% overlap between platforms -- a competitor strong on ChatGPT
may be absent from Perplexity. Analyze each platform independently.

搜索词	ChatGPT引用情况	Perplexity引用情况	AI Overview引用情况	是否存在空白？
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]
[keyword]	[competitor/none]	[competitor/none]	[competitor/none]	[Yes/No]


为每个竞品的AI可见性评分：
- **高**：在3个平台的多个搜索词中被引用
- **中**：在1-2个平台或有限的搜索词中被引用
- **低**：仅在小众搜索词中偶尔被引用
- **无**：未检测到AI引用

找出AI引用空白——即没有竞品被引用的搜索词，这些是新内容的最高机会目标。

注意：各平台间仅12%的重叠度——在ChatGPT表现强劲的竞品可能在Perplexity中完全没有存在感，需独立优化每个平台。

Step 3: Audience Mapping

步骤3：受众映射

Define 2-3 audience segments:

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定义2-3个受众细分群体：

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Audience Segment: [Name]

受众细分：[群体名称]

Role: [Job title / description]
Pain points: [What problems do they have?]
Search behavior: [What do they Google?]
AI behavior: [What do they ask ChatGPT/Perplexity?]
Content preferences: [Long guides? Quick answers? Video?]
Buying stage: [Awareness / Consideration / Decision]

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角色：[职位/描述]
痛点：[他们面临哪些问题？]
搜索行为：[他们会在Google上搜索什么？]
AI使用行为：[他们会向ChatGPT/Perplexity提问什么？]
内容偏好：[长篇指南？快速答案？视频？]
购买阶段：[认知期 / 考虑期 / 决策期]

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Step 4: Content Pillar Design with Topic Cluster Architecture

步骤4：基于主题集群架构的内容支柱设计

Design 3-5 content pillars based on audience needs and competitive gaps. For each pillar, build the full hub-and-spoke cluster model.

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根据受众需求和竞品空白设计3-5个内容支柱。为每个支柱构建完整的中心辐射式集群模型。

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Pillar: [Topic Area]

内容支柱：[主题领域]

Purpose: Build authority in [topic]
Primary keywords: [3-5 keywords]
Content types: Pillar guide, supporting posts, comparisons, FAQ
Unique angle: [What first-hand experience/data can you provide?]
Estimated posts: [N] to achieve topic coverage
AI citation potential: [High/Medium/Low] — [why]

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目标：建立在[主题]领域的权威性
核心关键词：[3-5个关键词]
内容类型：支柱指南、支撑性文章、对比分析、FAQ
独特视角：[您能提供哪些一手经验/数据？]
预估文章数量：[N]篇以实现主题全覆盖
AI引用潜力：[高/中/低] — [原因]

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Cluster Architecture Design

集群架构设计

For each pillar, design the complete hub-and-spoke structure:

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为每个支柱设计完整的中心辐射式结构：

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Cluster Architecture: [Pillar Topic]

集群架构：[支柱主题]

┌──────────────────┐ │ Pillar Page │ │ 3,000-4,000w │ └────────┬─────────┘ │ ┌─────────────────┼──────────────────┐ │ │ │ ┌──────▼──────┐ ┌─────▼──────┐ ┌───────▼──────┐ │ Spoke #1 │ │ Spoke #2 │ │ Spoke #3 │ │ 1,500-2,500│ │ 1,500-2,500│ │ 1,500-2,500 │ └──────┬──────┘ └─────┬──────┘ └───────┬──────┘ │ │ │ └────────────────┼───────────────────┘ (cross-links between spokes)


For each cluster, specify:
- **8-12 spoke topics** per pillar, each targeting a specific long-tail keyword
- **Internal linking plan** between all cluster pages (every spoke links to pillar, pillar links to all spokes, spokes cross-link to related spokes)
- **Content template assignment** for each piece from the 12 available templates:
  `how-to-guide`, `listicle`, `case-study`, `comparison`, `pillar-page`,
  `product-review`, `thought-leadership`, `roundup`, `tutorial`,
  `news-analysis`, `data-research`, `faq-knowledge`

┌──────────────────┐ │ 支柱页面 │ │ 3000-4000字 │ └────────┬─────────┘ │ ┌─────────────────┼──────────────────┐ │ │ │ ┌──────▼──────┐ ┌─────▼──────┐ ┌───────▼──────┐ │ 分支内容#1 │ │ 分支内容#2 │ │ 分支内容#3 │ │ 1500-2500字│ │ 1500-2500字│ │ 1500-2500字 │ └──────┬──────┘ └─────┬──────┘ └───────┬──────┘ │ │ │ └────────────────┼───────────────────┘ （分支内容间的交叉链接）


为每个集群明确以下信息：
- 每个支柱对应**8-12个分支主题**，每个主题针对特定的长尾关键词
- **内部链接规划**：所有集群页面间的链接规则（每个分支链接到支柱页面，支柱页面链接到所有分支，相关分支间交叉链接）
- **内容模板分配**：为每篇内容从12种可用模板中选择：
  `how-to-guide`, `listicle`, `case-study`, `comparison`, `pillar-page`,
  `product-review`, `thought-leadership`, `roundup`, `tutorial`,
  `news-analysis`, `data-research`, `faq-knowledge`

Cluster Build Plan: [Pillar Topic]

集群搭建计划：[支柱主题]

#	Spoke Topic	Template	Target Keyword	Word Count	Internal Links
P	[Pillar title]	pillar-page	[keyword]	3,000-4,000	Links to all spokes
1	[Spoke title]	how-to-guide	[keyword]	1,500-2,500	Pillar + Spokes 2,3
2	[Spoke title]	comparison	[keyword]	1,500-2,500	Pillar + Spokes 1,3
3	[Spoke title]	listicle	[keyword]	1,500-2,500	Pillar + Spokes 1,2
...	...	...	...	...	...


Reference: `references/internal-linking.md` for hub-and-spoke model and anchor text rules.

编号	分支主题	模板类型	目标关键词	字数	内部链接规则
P	[支柱标题]	pillar-page	[keyword]	3000-4000	链接到所有分支内容
1	[分支标题]	how-to-guide	[keyword]	1500-2500	链接到支柱页面 + 分支2、3
2	[分支标题]	comparison	[keyword]	1500-2500	链接到支柱页面 + 分支1、3
3	[分支标题]	listicle	[keyword]	1500-2500	链接到支柱页面 + 分支1、2
...	...	...	...	...	...


参考：`references/internal-linking.md` 了解中心辐射式模型及锚文本规则。

Step 5: Differentiation Strategy

步骤5：差异化策略

The December 2025 Core Update rewards first-hand experience. Plan how to demonstrate genuine expertise:

Signal Type	Implementation
Original data	Conduct surveys, analyze proprietary data, run experiments
Case studies	Document real client/project results with metrics
Build in public	Share process, learnings, and failures transparently
Expert interviews	Feature practitioners with first-hand knowledge
Tool reviews	Test products personally, share screenshots and results
Industry analysis	Provide unique perspective on public data

2025年12月的核心算法更新更青睐一手经验。规划如何展示真实的专业能力：

信号类型	实施方式
原创数据	开展调研、分析自有数据、进行实验
案例研究	记录真实客户/项目的成果及相关指标
公开构建	透明分享流程、经验教训和失败案例
专家访谈	邀请拥有一手经验的从业者分享
工具测评	亲自测试产品，分享截图和结果
行业分析	基于公开数据提供独特视角

Step 5.5: AI Citation Surface Strategy

步骤5.5：AI引用场景策略

Plan how to maximize AI citation across platforms. 80% of LLM citations come from outside the top 100 organic results -- traditional SEO alone is insufficient.

规划如何在各平台最大化AI引用。80%的大语言模型（LLM）引用来自自然搜索结果前100名之外——仅靠传统SEO远远不够。

On-Site Optimization

站内优化

Structure every piece of content for AI citability:

Every H2 opens with an answer-first paragraph (40-60 words with stat + source)
Citation capsules: 40-60 word self-contained passages per H2 section
Q&A format: 60-70% of H2 headings phrased as questions
FAQ sections with schema markup on every post
Entity clarity: consistent terminology throughout (no synonym variation for key concepts)
Structured data: JSON-LD for Article, FAQ, HowTo, and Review schemas

为每篇内容构建适合AI引用的结构：

每个H2标题下以答案前置的段落开头（40-60字，包含数据+来源）
引用胶囊：每个H2段落搭配40-60字的独立引用片段
问答格式：60-70%的H2标题以问题形式呈现
FAQ板块：每篇文章都添加带结构化数据标记的FAQ
实体清晰性：全文使用统一术语（核心概念避免同义词替换）
结构化数据：为文章、FAQ、操作指南、测评添加JSON-LD标记

Off-Site Presence (Critical -- 88-92% of AI citations from off-site)

站外布局（关键——88-92%的AI引用来自站外）

Channel	AI Citation Impact	Priority Action
YouTube	0.737 correlation (strongest)	Companion videos for pillar posts
Reddit	450% citation surge	Authentic participation in 3-5 subreddits
Review platforms	2.6-3.5x multiplier	Maintain profiles on G2, Capterra (B2B)
Wikipedia/Wikidata	Credibility tiebreaker	Build notability, create Wikidata entry
Industry publications	Tier 2-3 citation source	Guest posts, expert commentary

渠道	AI引用影响	优先行动
YouTube	0.737相关性（最强）	为支柱文章制作配套视频
Reddit	引用量激增450%	在3-5个子版块中进行真实互动
测评平台	2.6-3.5倍引用增量	在G2、Capterra（B2B领域）维护品牌档案
Wikipedia/Wikidata	可信度决胜因素	提升品牌知名度，创建Wikidata条目
行业出版物	二级-三级引用来源	客座文章、专家评论

Cross-Platform Monitoring

跨平台监测

Track brand mentions in ChatGPT, Perplexity, Google AI Overviews
Only 12% overlap between platforms -- optimize for each separately
80% of LLM citations come from outside the top 100 organic results
Monitor monthly: search 10-20 target queries on each platform, log citations

Reference:

references/geo-optimization.md

for detailed GEO tactics.

跟踪ChatGPT、Perplexity、Google AI Overviews中的品牌提及
各平台间仅12%的重叠度——需针对每个平台单独优化
80%的LLM引用来自自然搜索结果前100名之外
每月监测：在每个平台搜索10-20个目标关键词，记录引用情况

参考：

references/geo-optimization.md

获取详细的区域优化策略。

Step 5.6: Content Scoring Targets

步骤5.6：内容评分指标

Set quality standards that all blog content must meet:

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设定所有博客内容必须达到的质量标准：

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Content Quality Standards

内容质量标准

Metric	Target	Measured By
Blog quality score	80+	`/blog analyze`
E-E-A-T compliance	Named author + 8+ tier 1-3 sources	Manual review
AI citation readiness	Answer-first + FAQ + citation capsules	`/blog analyze`
Visual minimum	2+ charts + 3+ images per post	Asset count
Internal links	5+ per post (within cluster)	Link audit
Schema markup	Article + FAQ + relevant type	Structured data test
Word count	1,500+ for spokes, 3,000+ for pillars	Word count tool


Every post should be scored before publishing. Posts below 80 quality score
should be revised before going live.

指标	目标值	衡量方式
博客质量评分	80分以上	`/blog analyze` 工具
E-E-A-T合规性	署名作者 + 8个以上一级-三级来源	人工审核
AI引用适配性	答案前置 + FAQ + 引用胶囊	`/blog analyze` 工具
视觉内容最低要求	每篇文章至少2张图表 + 3张图片	资产数量统计
内部链接数量	每篇文章至少5个（同集群内）	链接审计
结构化数据标记	文章 + FAQ + 对应类型标记	结构化数据测试
字数	分支内容1500字以上，支柱内容3000字以上	字数统计工具


每篇文章发布前都需评分，低于80分的文章需修改后再上线。

Step 5.7: GEO-Specific Strategy

步骤5.7：区域专属策略

Plan passage-level citability across all content, tailored to each AI platform.

AI Platform	Favors	Optimization Focus
ChatGPT	Recency, brand authority, conversational clarity	Update posts within 30 days, clear entity definitions
Perplexity	Citations, source diversity, structured answers	Tier 1-3 sources, numbered lists, data tables
Google AI Overviews	Structured data, schema, topical authority	FAQ schema, HowTo schema, complete topic clusters

Strategy by platform:

ChatGPT: Ensure brand name appears consistently, maintain 30-day freshness, use conversational answer-first formatting
Perplexity: Maximize external citation count (8+ per post), use structured data tables, cite authoritative sources
AI Overviews: Complete topic cluster coverage, implement all relevant schema types, achieve featured snippet format

Reference:

references/geo-optimization.md

for platform-specific optimization guides.

规划所有内容的段落级引用适配性，针对每个AI平台定制优化。

AI平台	偏好内容	优化重点
ChatGPT	时效性、品牌权威性、对话清晰度	30天内更新文章，明确实体定义
Perplexity	引用、来源多样性、结构化答案	一级-三级来源，编号列表、数据表格
Google AI Overviews	结构化数据、Schema标记、主题权威性	FAQ Schema、操作指南Schema、完整主题集群

分平台策略：

ChatGPT：确保品牌名称一致呈现，保持30天内的内容新鲜度，采用对话式答案前置格式
Perplexity：最大化外部引用数量（每篇至少8个），使用结构化数据表格，引用权威来源
AI Overviews：实现主题集群全覆盖，添加所有相关Schema类型，优化为特色摘要格式

参考：

references/geo-optimization.md

获取平台专属优化指南。

Step 6: Distribution Channel Strategy

步骤6：分发渠道策略

AI visibility requires off-site presence (88-92% of AI citations come from off-site signals). Plan brand presence:

Channel	AI Impact	Strategy
YouTube	0.737 correlation (strongest)	Companion videos for pillar posts, how-tos, demos
Reddit	450% citation surge	Authentic participation in 3-5 subreddits, share insights not links
Review platforms	2.6-3.5x citation multiplier	Maintain profiles on G2, Capterra, TrustRadius (B2B)
Wikipedia/Wikidata	Credibility tiebreaker	Build notability through earned media, create Wikidata entry
Industry publications	Tier 2-3 citation source	Guest posts, expert commentary, study contributions
Social media	Brand mentions	LinkedIn thought leadership, Twitter/X insights

Budget allocation recommendation: 40% owned content / 60% earned media and distribution.

Reference:

references/distribution-playbook.md

for detailed channel tactics and templates.

AI可见性需要站外布局（88-92%的AI引用来自站外信号）。规划品牌布局：

渠道	AI影响	策略
YouTube	相关性0.737（最强）	为支柱文章、操作指南、演示制作配套视频
Reddit	引用量激增450%	在3-5个子版块中真实互动，分享见解而非单纯发链接
测评平台	引用量提升2.6-3.5倍	在G2、Capterra、TrustRadius（B2B领域）维护品牌档案
Wikipedia/Wikidata	可信度决胜因素	通过 earned media（赢得媒体）提升知名度，创建Wikidata条目
行业出版物	二级-三级引用来源	客座文章、专家评论、研究贡献
社交媒体	品牌提及	LinkedIn思想领导力内容、Twitter/X见解分享

预算分配建议：40%自有内容 / 60%赢得媒体与分发。

参考：

references/distribution-playbook.md

获取详细的渠道策略和模板。

Step 7: Measurement Framework

步骤7：衡量框架

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Metrics to Track

跟踪指标

Traditional SEO

传统SEO指标

Organic traffic (monthly)
Keyword rankings (top 10, top 3)
Domain authority / Domain Rating
Internal link coverage
Core Web Vitals

自然流量（月度）
关键词排名（前10、前3）
域名权重 / 域名评级
内部链接覆盖率
核心网页指标

AI Citation Metrics (New)

AI引用指标（新增）

Share of Voice in ChatGPT responses (manual tracking)
AI Overview citation rate (Google Search Console)
Perplexity mentions (manual tracking)
AI referral traffic (GA4: source contains chatgpt, perplexity, claude)
Brand mention volume (branded search + web mentions)

ChatGPT回复中的声量（人工跟踪）
AI Overview引用率（Google Search Console）
Perplexity提及量（人工跟踪）
AI推荐流量（GA4：来源包含chatgpt、perplexity、claude）
品牌提及量（品牌搜索+网页提及）

Content Quality

内容质量指标

Blog quality score via
```
/blog analyze
```
(target: 80+)
Content freshness (% of posts updated within 30 days)
Visual element coverage (charts + images per post)
Citation tier quality (% tier 1-3 sources)

通过
```
/blog analyze
```
获取的博客质量评分（目标：80分以上）
内容新鲜度（30天内更新的文章占比）
视觉元素覆盖率（每篇文章的图表+图片数量）
引用来源质量（一级-三级来源占比）

Business Impact

业务影响指标

Blog-attributed leads/conversions
Email subscribers from blog
Content-assisted revenue

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博客带来的线索/转化
博客引流的邮件订阅用户
内容辅助产生的收入

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Step 8: Generate Strategy Document

步骤8：生成策略文档

Output format:

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输出格式：

undefined

Blog Strategy: [Business Name]

博客策略：[企业名称]

Executive Summary

执行摘要

[2-3 sentences on the strategic direction]

[2-3句话说明战略方向]

Audience

受众分析

[Segment summaries]

[受众细分摘要]

Content Pillars & Cluster Architecture

内容支柱与集群架构

[3-5 pillars with full hub-and-spoke cluster plans] [Internal linking map for each cluster] [Template assignments for each piece]

[3-5个支柱及完整的中心辐射式集群计划] [每个集群的内部链接映射] [每篇内容的模板分配]

Competitive Positioning

竞品定位

[How we differentiate — what unique value we bring] [Competitive AI Citation Map showing gaps to exploit]

[我们的差异化优势——提供的独特价值] [竞品AI引用映射表，展示可利用的空白]

AI Citation Surface Strategy

AI引用场景策略

[On-site optimization checklist] [Off-site presence plan with priority channels] [Platform-specific GEO tactics]

[站内优化清单] [站外布局计划及优先渠道] [平台专属区域策略]

Content Quality Standards

内容质量标准

[Scoring targets for all content] [E-E-A-T compliance requirements]

[所有内容的评分指标] [E-E-A-T合规要求]

Distribution Channels

分发渠道

[Priority channels with specific tactics]

[优先渠道及具体策略]

Content Velocity

内容产出速度

New posts: [N]/week
Freshness updates: [N]/month
Visual elements: [N] charts + [N] images per post

新文章：[N]篇/周
新鲜度更新：[N]篇/月
视觉元素：每篇文章[N]张图表 + [N]张图片

90-Day Roadmap

90天路线图

Month 1: Foundation

第1个月：基础搭建

Publish [Pillar 1] guide + [N] supporting spokes
Set up YouTube channel / Reddit profiles
Establish measurement dashboard
Complete competitive AI citation audit

发布[支柱1]指南 + [N]篇支撑性分支内容
搭建YouTube频道 / Reddit账号
建立衡量仪表盘
完成竞品AI引用审计

Month 2: Expansion

第2个月：拓展

Publish [Pillar 2] guide + [N] supporting spokes
First freshness update cycle
Begin Reddit/YouTube distribution
Launch off-site presence on review platforms

发布[支柱2]指南 + [N]篇支撑性分支内容
首次内容新鲜度更新
启动Reddit/YouTube分发
在测评平台完成站外布局

Month 3: Optimization

第3个月：优化

Audit all posts with
```
/blog analyze
```
(target: 80+ score)
Optimize lowest-scoring posts
Publish [Pillar 3] guide
Review AI citation metrics across all platforms
Adjust strategy based on data

用
```
/blog analyze
```
审核所有文章（目标：80分以上）
优化评分最低的文章
发布[支柱3]指南
跨平台审核AI引用指标
根据数据调整策略

Measurement

衡量方式

[KPIs and tracking approach — traditional SEO + AI citation metrics]

[关键绩效指标及跟踪方法——传统SEO + AI引用指标]

Reference Documents

参考文档

```
references/internal-linking.md
```
— Hub-and-spoke model, anchor text rules
```
references/distribution-playbook.md
```
— Channel tactics and templates
```
references/geo-optimization.md
```
— GEO platform-specific optimization
```
references/content-templates.md
```
— 12 content templates with structures

```
references/internal-linking.md
```
— 中心辐射式模型、锚文本规则
```
references/distribution-playbook.md
```
— 渠道策略与模板
```
references/geo-optimization.md
```
— 平台专属区域优化策略
```
references/content-templates.md
```
— 12种内容模板及结构

Next Steps

下一步行动

Run
```
/blog calendar
```
to create the first month's editorial calendar
Run
```
/blog brief
```
for the first pillar page
Run
```
/blog write
```
to generate the first article
Set up AI citation monitoring for target queries

undefined

运行
```
/blog calendar
```
生成第一个月的编辑日历
运行
```
/blog brief
```
生成第一篇支柱页面的创作 brief
运行
```
/blog write
```
生成第一篇文章
针对目标关键词设置AI引用监测

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