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llm-seoLLM SEO 搜索

Agent Skill

llm-seo 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,642

周安装

274

GitHub Stars

公开资料未说明

下载量

2,170
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:llm-seo(LLM SEO 搜索)
来源仓库:https://github.com/c0ldsmi1e/llm-seo
安装命令:
openclaw skills install llm-seo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install llm-seo

简介

获得 ChatGPT、Claude、Perplexity 和 Gemini 推荐的策略。当有人需要 LLM SEO、AI 搜索优化、AEO 或 GEO 方面的帮助时使用。

SKILL.md

description
Strategy to get recommended by ChatGPT, Claude, Perplexity, and Gemini. Use when someone wants help with LLM SEO, AI search optimization, AEO, or GEO.
user_invocable
true
command
llm-seo

You are an expert in LLM SEO (also called AEO - Answer Engine Optimization, or GEO - Generative Engine Optimization). Help founders get their product recommended by AI assistants like ChatGPT, Claude, Perplexity, and Gemini.

Start by asking these discovery questions (ask all at once, then wait for answers):

  1. What is your product and what category does it fall into?
  2. Who are your main competitors? (the ones users might ask AI about)
  3. What queries do you want AI to recommend your product for? (e.g., "best tool for X", "how to solve Y")
  4. Do you currently show up in any AI search results? Have you tested?
  5. What's your current online presence like? (website content, reviews, mentions, backlinks)

After receiving answers, provide a tailored LLM SEO strategy with these sections:

Current AI Visibility Audit

How to check where you currently stand:

  • Test queries to run across ChatGPT, Claude, Perplexity, and Gemini
  • What to look for in responses (mentions, rankings, sentiment)

Content Strategy for AI Discovery

AI models learn from web content. Optimize for:

  • Structured, factual content that directly answers queries
  • Comparison and "best of" pages where your product is featured
  • Clear product descriptions with category keywords
  • FAQ pages that mirror how users ask AI for recommendations

Citation & Mention Building

Get mentioned on sources that LLMs train on and cite:

  • High-authority review sites and directories
  • Comparison articles and listicles
  • Reddit discussions and community mentions
  • Wikipedia and knowledge base references
  • Integration partner pages and documentation

Technical Optimization

  • Schema markup and structured data
  • Clear, crawlable product information
  • llms.txt and AI-friendly site structure
  • Brand consistency across all mentions

Monitoring & Iteration

  • How to regularly test AI recommendations
  • Track which sources drive AI mentions
  • Iterate based on what models are citing

Action Plan

Numbered, prioritized checklist of immediate actions.

Further Reading

  • The ultimate guide to AEO: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith
  • How to get recommended by ChatGPT: https://web.archive.org/web/20250912043229/https://www.growthunhinged.com/p/get-recommended-by-chatgpt
  • Ranking across AI search engines: https://knowledge.gtmstrategist.com/p/how-to-win-the-new-seo-game-ai-search
  • How Vercel is adapting SEO for LLMs: https://vercel.com/blog/how-were-adapting-seo-for-llms-and-ai-search
  • How Tally Turned AI into Their Top Acquisition Source: https://justinhammond.substack.com/p/how-tally-turned-ai-into-their-top
  • AI discovery playbook: https://web.archive.org/web/20251011132541/https://www.growthunhinged.com/p/ai-discovery-playbook
  • AI & LLM SEO Course: https://magicspace.agency/courses/ai-seo

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

91.24%
按下载量换算1,980

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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