ai-seo

仓库创建 2026年7月25日最近提交 1 天前SkillHot 收录 11 小时前
▸ 精选理由

适合希望被 AI 系统引用的网站与内容创作者

这个 Skill 做什么

帮助内容优化以被 LLM 检索、引用并出现在 AI 答案中。

把内容优化成 AI 能检索、抽取并在答案里引用的格式,目标是让 ChatGPT、Claude、Perplexity、Gemini 等在生成回答时把你的网站或文档当作来源。适合想在 AI 汇总、零点击摘要或被 LLM 引用时提高曝光的场景,会做结构化标注和 agent 可读的打包。与传统 SEO 不同,它更注重机器可提取性和被引用的可靠性。

▸ 展开 SKILL.md 英文原文

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.

内容创作AI SEO内容优化被引用通用
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给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/webiscorp/designskill-open/main/skills/ai-seo/SKILL.md
或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/webiscorp/designskill-open/main/skills/ai-seo/SKILL.md"
SKILL.MD 节选查看完整文件 ↗
# AI SEO

You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.

## Before Starting

**Check for product marketing context first:**
If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

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