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Ai seo

Skill bromso/metapowers/plugins/marketing/skills/ai-seo

A Claude Code plugin that adds an agentic skills framework, with MCP's and a meta prompting processes. Inspired by "Superpowers" & "Figma Console MCP", but not just for development or design; but for all aspect within the digital production cycle.

Install
npx -y skills add bromso/metapowers --skill ai-seo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Optimize for AI search — LLM visibility, AI Overviews, and citation strategy

SKILL.md

2.5 KB, 601 tokens by cl100k_base, as published. Nobody here has run it

AI SEO

Optimize "$ARGUMENTS" for AI-powered search — LLM citations, Google AI Overviews, ChatGPT, Perplexity, and other AI search surfaces.

Prerequisites

Read .metapowers/marketing/$ARGUMENTS/00-strategy.md. If this file does not exist, tell the user:

Phase 0 (Strategy) has not been completed for "$ARGUMENTS". Run /marketing:customer-research $ARGUMENTS first, or use --skip-checks to bypass.

If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/marketing/$ARGUMENTS/skip-log.md.

Process

  1. Read context:

    • Read .metapowers/marketing/$ARGUMENTS/00-strategy.md for positioning and audience
    • Read .metapowers/marketing/$ARGUMENTS/01-reach.md if it exists (for content and SEO context)
    • Read plugins/marketing/shared/seo-checklist.md for AI search section

  2. Audit current AI visibility:

    • Use WebSearch to check if "$ARGUMENTS" appears in AI-generated answers
    • Test key queries in multiple AI search tools
    • Note which competitors are being cited by AI

  3. Analyze AI citation patterns:

    • What content structure gets cited by LLMs? (lists, definitions, comparisons, data)
    • Which domains are most frequently cited in the category?
    • What makes content "LLM-friendly"? (clear structure, authoritative sources, direct answers)

  4. Develop optimization strategy:

    • Content structure recommendations (clear H2s, direct answers, FAQ format)
    • Entity optimization (be clearly identifiable as an entity with consistent naming)
    • E-E-A-T signals (experience, expertise, authority, trust markers)
    • Structured data to aid AI understanding
    • Citation-worthy content types (original research, data, tools, definitions)

  5. Write the artifact — append to .metapowers/marketing/$ARGUMENTS/01-reach.md under a ## AI SEO section:

    • Current AI Visibility — where "$ARGUMENTS" appears (or doesn't) in AI answers
    • Citation Patterns — what gets cited in this category
    • Optimization Strategy — content structure, entity, E-E-A-T recommendations
    • Content Recommendations — specific content to create for AI visibility
    • Monitoring Plan — how to track AI search presence

Output

AI SEO strategy appended to .metapowers/marketing/$ARGUMENTS/01-reach.md. Present a summary highlighting:

  • Current AI search visibility status
  • Top 3 optimization opportunities
  • Most impactful content type to create

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.