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geo-content-optimizer

@aaron-he-zhu · 收录于 1 周前

Use when the user asks to "optimize for AI citations"; improves citation readiness for ChatGPT, Perplexity, AI Overviews, Gemini, and Claude. Not for structural on-page SEO — use on-page-seo-auditor; not for net-new drafting — use seo-content-writer. AI引用优化/GEO优化/AI搜索

适合你,如果希望内容在ChatGPT等AI搜索中被优先引用

/ 下载安装
geo-content-optimizer.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add aaron-he-zhu/aaron-marketing-skills/geo-content-optimizer
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- aaron-he-zhu/aaron-marketing-skills/geo-content-optimizer
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify aaron-he-zhu/aaron-marketing-skills/geo-content-optimizer
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
2351GitHub stars
待重算上下文体积
镜像托管

怎么用

商店整理自技能原文 · 版本 4c381c8 · 表述以原文为准
它做什么

安装后,Claude 会分析你的内容,添加清晰定义、可引用语句、数据来源和问答格式,使其更可能被 ChatGPT、Perplexity、AI Overviews 等 AI 引擎引用。

什么时候触发

当你要求“优化 AI 引用”或“GEO 优化”,或提供内容 URL 或文本时触发。

装好后可以这样说
Claude 会分析并改进内容结构。
Claude 会生成评分和修改清单。
Claude 会产出优化后的文本。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 4c381c8

GEO Content Optimizer

Optimizes content for AI-generated answers and citation surfaces such as ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.

What This Skill Does

Improves structure, authority signals, factual density, quotable statements, source attribution, and overall GEO readiness.

Quick Start
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](references/ai-overview-recovery.md) for the 4-phase playbook (measure → diagnose → rewrite → monitor) tailored to recovery scenarios (as opposed to generic GEO optimization).

Skill Contract

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](../../references/entity-geo-handoff-schema.md)) 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-optimizer 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.
Handoff Summary
Emit the standard shape from [skill-contract.md §Handoff Summary Format](../../references/skill-contract.md).
Data Sources

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](../../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](../../references/measurement-protocol.md).

Instructions

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](../../references/humanizer-slop.md) 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](references/instructions-detail.md) for the full CORE-EEAT GEO target tables, AI engine preferences, analysis templates, optimization report template, self-check matrix, and examples.
Example

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](references/instructions-detail.md#example).

GEO Optimization Checklist
Reference: See the GEO Readiness Checklist in [GEO Optimization Techniques](references/geo-optimization-techniques.md) for the full checklist covering definitions, quotable content, authority, structure, and technical elements.
Save Results

On user confirmation, save to memory/content/YYYY-MM-DD-<topic>.md — see [Skill Contract](../../references/skill-contract.md) §Save Results Template.

Reference Materials
  • [Instructions Detail](references/instructions-detail.md) - Full 5-step workflow, CORE-EEAT GEO targets, self-check matrix, worked example, tips
  • [GEO Optimization Techniques](references/geo-optimization-techniques.md) - Detailed before/after examples, templates, and checklists for each technique
  • [AI Citation Patterns](references/ai-citation-patterns.md) - Per-engine source selection across 9 engines: Google AI Overviews, ChatGPT, Perplexity, Claude, Copilot, Gemini, Grok, Brave, Bing
  • [Quotable Content Examples](references/quotable-content-examples.md) - Before/after examples of content optimized for AI citation
  • [Medium / GitHub AI-Citation Surfaces](references/medium-github-surfaces.md) - Off-site surfaces engines cite (Medium articles, GitHub repos/READMEs)
  • [Slop Self-Check](../../references/humanizer-slop.md) - Pre-publish pass to strip AI-tell phrasing before content ships
  • [Agent-Readable File Stack (llms.txt / OKF)](../../references/llms-txt-okf.md) - Machine-readable files so agents and engines can parse your site
  • [Grokipedia Tactics](../../references/platforms/grokipedia.md) - AI-citation tactics for Grok / Grokipedia
  • GEO distribution surfaces — platform refs engines pull from: [X](../../references/platforms/x.md), [LinkedIn](../../references/platforms/linkedin.md), [YouTube](../../references/platforms/youtube.md), [Reddit](../../references/platforms/reddit.md)
Next Best Skill
  • Primary: [content-quality-auditor](../../optimize/content-quality-auditor/SKILL.md) — verify the optimized content is strong enough to ship and cite.
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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