LLM SEO

Strategy to get recommended by ChatGPT, Claude, Perplexity, and Gemini. Use when someone wants help with LLM SEO, AI search optimization, AEO, or GEO.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
0 · 14 · 0 current installs · 0 all-time installs
byDaniel Yu@C0ldSmi1e
MIT-0
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Benign
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Benign
high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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):

  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

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