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geo-content-optimizer

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GEO Content Optimizer

GEO内容优化器

Optimizes content for AI-generated answers and citation surfaces such as ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.
针对AI生成答案及引用场景优化内容，包括ChatGPT、Perplexity、Gemini、Claude和AI Overviews等平台。

What This Skill Does

该技能的作用

Improves structure, authority signals, factual density, quotable statements, source attribution, and overall GEO readiness.
提升内容结构、权威信号、事实密度、可引用表述、来源归因，以及整体GEO适配性。

Quick Start

快速开始

text
Optimize this content for GEO/AI citations: [content or URL]
Make this article more likely to be cited by AI systems
Write content about [topic] optimized for both SEO and GEO
Audit this content for GEO readiness and suggest improvements
AI Overview is eating clicks on 12 head queries — build a recovery plan
See AI Overview Recovery for the 4-phase playbook (measure → diagnose → rewrite → monitor) tailored to recovery scenarios (as opposed to generic GEO optimization).
text
优化此内容以适配GEO/AI引用：[内容或URL]
让这篇文章更易被AI系统引用
撰写同时适配SEO和GEO的[主题]内容
审核此内容的GEO适配性并提出改进建议
AI Overviews抢占了12个核心查询的点击量——制定恢复方案
查看AI Overview恢复方案获取针对恢复场景的四阶段操作手册（测量→诊断→重写→监控），区别于通用GEO优化方案。

Skill Contract

技能协议

Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for 
memory/content/
.
  • Reads: the brief, target keywords, entity inputs, and quality constraints. Canonical entity profiles: if the content mentions a brand / person / product, this skill MUST consult 
    memory/entities/<slug>.md
    (per the entity-geo handoff schema) to populate 
    display_name
    , 
    description_short
    , 
    ai_resolution_status
    and decide whether disambiguation boilerplate is needed. If the profile is missing or stale (>90 days), declare 
    DONE_WITH_CONCERNS
    and recommend 
    entity-registry
    as an open loop.
  • Writes: a user-facing content, metadata, or schema deliverable plus a reusable summary that can be stored under 
    memory/content/
    .
  • Promotes: approved angles, messaging choices, missing evidence, and publish blockers to 
    memory/hot-cache.md
    and 
    memory/open-loops.md
    ; propose durable decisions as pending-decision items.
  • Done when: each target AI query has a standalone, quotable answer block; a before/after GEO score and AI Query Coverage are reported; and the CORE-EEAT GEO self-check (C02, O03, O05, E01) has no unaddressed Fail.
  • Primary next skill: use the 
    Next Best Skill
    below when the asset is ready for review or deployment.
预期输出：可直接使用的资产或可落地的内容改造方案，以及一份可存入
memory/content/
的简短交接总结。
  • 读取：需求 brief、目标关键词、实体输入和质量约束。标准实体档案：如果内容提及品牌/人物/产品，本技能必须查阅
    memory/entities/<slug>.md
    （遵循entity-geo交接 schema）以填充
    display_name
    、
    description_short
    、
    ai_resolution_status
    ，并判断是否需要歧义消除模板。若档案缺失或过期（超过90天），需标记为
    DONE_WITH_CONCERNS
    ，并推荐
    entity-registry
    作为待处理事项。
  • 写入：面向用户的内容、元数据或schema交付物，以及一份可存入
    memory/content/
    的可复用总结。
  • 推送：将获批的角度、信息选择、缺失证据和发布障碍推送至
    memory/hot-cache.md
    和
    memory/open-loops.md
    ；将需长期决策的事项列为待决策项。
  • 完成标准：每个目标AI查询都有独立的、可引用的答案模块；报告GEO评分的前后对比及AI查询覆盖情况；CORE-EEAT GEO自检项（C02、O03、O05、E01）无未解决的不合格项。
  • 推荐后续技能：当资产准备好进行审核或部署时，使用下方的“最佳后续技能”。

Handoff Summary

交接总结

Emit the standard shape from skill-contract.md §Handoff Summary Format.
输出skill-contract.md §交接总结格式中规定的标准格式内容。

Data Sources

数据源

Use 
~~AI monitor
and 
~~SEO tool
when connected; otherwise ask for target queries, content, engines, competitor examples, and known AI-citation gaps. See CONNECTORS.md.
Measuring whether GEO work paid off: the changes this skill makes (extractable, quotable, answer-shaped content) move citability — testable in minutes by handing a live-fetch engine the URL and asking the target query. That is a proxy. Whether an engine then cites you unprompted (surfacing) is gated by its crawl/index refresh — week-scale and confounded, not minute-level. Do not conflate the two or promise fast surfacing. The latency of each signal, and why outcome deltas need a control group, are defined in references/measurement-protocol.md.
Keyless AI-citation probe (Tavily): 
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/tavily.py" search "<target query>" --answer --limit 10
runs that citability test against a real AI answer engine, no key needed — check whether the synthesized answer cites your URL/domain and where the page ranks among the scored sources. This is Measured for Tavily's own layer and an Estimated proxy for ChatGPT/Perplexity/Google AI Overviews (different indexes, different retrieval). Re-run after shipping changes for a minutes-scale citability read; unprompted surfacing stays week-scale per the paragraph above. See scripts/connectors/README.md.
连接后可使用
~~AI monitor
和
~~SEO tool
；否则需询问目标查询、内容、引擎、竞品示例及已知的AI引用缺口。详见CONNECTORS.md。
衡量GEO优化效果：本技能做出的修改（可提取、可引用、答案型内容）会提升可引用性——可通过向实时抓取引擎提供URL并询问目标查询，在数分钟内完成测试。这是一个代理指标。而引擎是否会主动引用你的内容（展示出来）则取决于其爬取/索引刷新周期——以周为单位，且受多种因素干扰，无法在数分钟内体现。请勿混淆这两个概念，也不要承诺快速展示。各信号的延迟时间，以及为何结果差异需要对照组，均在references/measurement-protocol.md中有定义。
无需密钥的AI引用探测工具（Tavily）：
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/tavily.py" search "<target query>" --answer --limit 10
可在无需密钥的情况下，针对真实AI回答引擎运行可引用性测试——检查合成答案是否引用你的URL/域名，以及该页面在评分来源中的排名。这是针对Tavily自身层级的实测指标，也是ChatGPT/Perplexity/Google AI Overviews的预估代理指标（不同索引，不同检索逻辑）。内容修改完成后重新运行该命令，可在数分钟内得到可引用性结果；而主动展示仍需遵循上文提到的以周为单位的周期。详见scripts/connectors/README.md。

Instructions

操作步骤

When a user requests GEO optimization, run these five steps:
  1. Load CORE-EEAT GEO-First Targets — prioritize C02, C09, O03, O05, E01, O02 plus engine-specific preferences.
  2. Analyze Current Content — score clear definitions, quotable statements, factual density, source citations, Q&A format, authority signals, freshness, and structure clarity.
  3. Apply GEO Techniques — add standalone 25-50 word definitions, sourced quotable statements, expert/source signals, Q&A/tables/lists, specific data, and visible-content-matching FAQ schema.
  4. Generate GEO Output — report Changes Made, before/after GEO score, and AI Query Coverage.
  5. CORE-EEAT GEO Self-Check — verify C02, C04, C09, O02, O03, O05, O06, R01, R02, R04, R07, E01, Exp10, Ept08 with Pass/Warn/Fail. Then run the slop self-check to strip AI-tell phrasing before the asset ships.
Label every metric Measured (tool/export), User-provided, or Estimated (model inference); never present an estimate as measured; if a required metric is unavailable, mark it N/A — do not invent it.
Reference: See Instructions Detail for the full CORE-EEAT GEO target tables, AI engine preferences, analysis templates, optimization report template, self-check matrix, and examples.
当用户请求GEO优化时，执行以下五个步骤：
  1. 加载CORE-EEAT GEO优先目标——优先处理C02、C09、O03、O05、E01、O02及引擎特定偏好。
  2. 分析现有内容——对清晰定义、可引用表述、事实密度、来源引用、问答格式、权威信号、时效性和结构清晰度进行评分。
  3. 应用GEO优化技巧——添加25-50词的独立定义、带来源的可引用表述、专家/来源信号、问答/表格/列表形式、具体数据，以及与可见内容匹配的FAQ schema。
  4. 生成GEO优化输出——报告修改内容、GEO评分前后对比及AI查询覆盖情况。
  5. CORE-EEAT GEO自检——验证C02、C04、C09、O02、O03、O05、O06、R01、R02、R04、R07、E01、Exp10、Ept08，标记通过/警告/不合格。然后运行冗余内容自检，在资产发布前去除AI生成痕迹明显的表述。
为每个指标标注实测（工具/导出数据）、用户提供或预估（模型推理）；切勿将预估数据当作实测数据展示；若所需指标不可用，标记为N/A——不得编造数据。
参考：查看操作步骤详情获取完整的CORE-EEAT GEO目标表、AI引擎偏好、分析模板、优化报告模板、自检矩阵及示例。

Example

示例

User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it.'"
Output adds a clear definition, dated/source-backed facts, structured list, quotable statements, and a before/after GEO score. See the full pattern in Instructions Detail — Example.
用户：“优化这段文字以适配GEO：'电子邮件营销是触达客户的好方法。它已经存在一段时间了，许多企业都在使用它。'”
输出会添加清晰定义、带日期/来源的事实、结构化列表、可引用表述，以及GEO评分前后对比。完整示例见操作步骤详情——示例。

GEO Optimization Checklist

GEO优化检查清单

Reference: See the GEO Readiness Checklist in GEO Optimization Techniques for the full checklist covering definitions, quotable content, authority, structure, and technical elements.
参考：查看GEO优化技巧中的GEO适配性检查清单，涵盖定义、可引用内容、权威性、结构及技术要素的完整检查项。

Save Results

保存结果

On user confirmation, save to 
memory/content/YYYY-MM-DD-<topic>.md
— see Skill Contract §Save Results Template.
经用户确认后，保存至
memory/content/YYYY-MM-DD-<topic>.md
——详见技能协议 §结果保存模板。

Reference Materials

参考资料

  • Instructions Detail - Full 5-step workflow, CORE-EEAT GEO targets, self-check matrix, worked example, tips
  • GEO Optimization Techniques - Detailed before/after examples, templates, and checklists for each technique
  • AI Citation Patterns - Evidence-bounded discovery, retrieval, and citation controls for Google AI features, ChatGPT Search, Perplexity, Claude, Gemini grounding, Copilot Studio, and Brave Search
  • Quotable Content Examples - Before/after examples of content optimized for AI citation
  • Medium / GitHub AI-Citation Surfaces - Off-site surfaces engines cite (Medium articles, GitHub repos/READMEs)
  • Slop Self-Check - Pre-publish pass to strip AI-tell phrasing before content ships
  • Agent-Readable File Stack (llms.txt / OKF) - Machine-readable files so agents and engines can parse your site
  • Grokipedia Tactics - AI-citation tactics for Grok / Grokipedia
  • GEO distribution surfaces — platform refs engines pull from: X, LinkedIn, YouTube, Reddit
  • 操作步骤详情 - 完整的五步工作流程、CORE-EEAT GEO目标、自检矩阵、实操示例、技巧
  • GEO优化技巧 - 各优化技巧的详细前后对比示例、模板及检查清单
  • AI引用模式 - Google AI功能、ChatGPT搜索、Perplexity、Claude、Gemini grounding、Copilot Studio和Brave Search的基于证据的发现、检索及引用规则
  • 可引用内容示例 - 针对AI引用优化的内容前后对比示例
  • Medium/GitHub AI引用场景 - 引擎会引用的站外场景（Medium文章、GitHub仓库/README）
  • 冗余内容自检 - 发布前检查，去除内容中AI生成痕迹明显的表述
  • Agent可读文件栈（llms.txt / OKF） - 机器可读文件，便于Agent和引擎解析你的网站
  • Grokipedia策略 - 针对Grok/Grokipedia的AI引用策略
  • GEO分发场景——引擎获取内容的平台参考：X、LinkedIn、YouTube、Reddit

Next Best Skill

最佳后续技能

  • Primary: content-quality-auditor — verify the optimized content is strong enough to ship and cite.
Termination note: keep a visited-set this session; if the recommended skill was already invoked, stop and report the chain complete rather than re-running it. Honor a max handoff depth of 3 to avoid loops (per skill-contract.md §Termination rules).
  • 首选：内容质量审核器——验证优化后的内容是否足够优质，可发布并被引用。
终止说明：在本次会话中保留已访问技能集合；若推荐的技能已被调用，需停止并报告流程完成，而非重复运行。遵循最大交接深度为3的规则，避免循环（详见技能协议 §终止规则）。