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在 OpenClaw 中安装
/install llm-seo
功能描述
Strategy to get recommended by ChatGPT, Claude, Perplexity, and Gemini. Use when someone wants help with LLM SEO, AI search optimization, AEO, or GEO.
使用说明 (SKILL.md)
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):
- What is your product and what category does it fall into?
- Who are your main competitors? (the ones users might ask AI about)
- What queries do you want AI to recommend your product for? (e.g., "best tool for X", "how to solve Y")
- Do you currently show up in any AI search results? Have you tested?
- 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
安全使用建议
This skill is coherent and low-risk because it only contains advice and asks no credentials or local access. Before using: (1) avoid pasting proprietary secrets, private credentials, or unreleased internal documents into the chat; (2) validate any external resources or claims the skill cites before acting on them; and (3) if you need hands-on implementation (site changes, schema, or llms.txt edits), perform those steps yourself or with trusted staff — the skill is advisory only. If you want higher assurance, ask the publisher for provenance or a homepage before wide deployment.
功能分析
Type: OpenClaw Skill
Name: llm-seo
Version: 1.0.0
The skill bundle contains only informational markdown instructions (SKILL.md) and metadata (_meta.json) designed to guide an AI agent in providing LLM SEO strategy advice. There is no executable code, no data exfiltration logic, and no malicious prompt injection; all external links point to legitimate marketing and SEO resources.
能力评估
Purpose & Capability
Name/description (LLM SEO) match the SKILL.md content. The skill only needs to ask discovery questions and produce a strategy; there are no declared env vars, binaries, or install steps that would be unrelated to providing SEO advice.
Instruction Scope
Runtime instructions are limited to asking discovery questions and producing audits, content/technical recommendations, and an action plan. The instructions do not ask the agent to read local files, access credentials, or transmit data to third-party endpoints beyond linking to public resources.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk code execution and is appropriate for an advisory skill.
Credentials
The skill declares no environment variables, credentials, or config paths. Nothing requested appears disproportionate to generating an SEO strategy.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or elevated privileges. Autonomous invocation is allowed by platform default but is not elevated here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install llm-seo - 安装完成后，直接呼叫该 Skill 的名称或使用
/llm-seo触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: provides founders with actionable strategies to optimize their products for recommendations by major AI assistants.
- Guides users through a set of discovery questions to tailor LLM SEO advice.
- Delivers clear audit steps, content strategy, citation building, technical optimizations, monitoring, and an action plan.
- Offers prioritized checklists and further reading for comprehensive AI search optimization (AEO/GEO).
- Focuses on visibility, relevance, and credibility to influence generative AI results across ChatGPT, Claude, Perplexity, and Gemini.
元数据
常见问题
LLM SEO 是什么？
Strategy to get recommended by ChatGPT, Claude, Perplexity, and Gemini. Use when someone wants help with LLM SEO, AI search optimization, AEO, or GEO. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 207 次。
如何安装 LLM SEO？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install llm-seo」即可一键安装，无需额外配置。
LLM SEO 是免费的吗？
是的，LLM SEO 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
LLM SEO 支持哪些平台？
LLM SEO 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 LLM SEO？
由 Daniel Yu（@c0ldsmi1e）开发并维护，当前版本 v1.0.0。
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