Agent Skillscbrock84/headcount › ai-search-optimization

ai-search-optimization

GitHub

优化内容以适配AI检索与引用,提升品牌在AI回答中的准确率。适用于流量转向AI答案、品牌被误述或需规划检索导向内容的场景。

plugins/demand-generation/skills/ai-search-optimization/SKILL.md cbrock84/headcount

Trigger Scenarios

流量从链接转向AI答案 品牌在AI响应中被误述或缺失 规划面向检索而非排名的内容 评估AI搜索对现有SEO的影响

Install

npx skills add cbrock84/headcount --skill ai-search-optimization -g -y
More Options

Non-standard path

npx skills add https://github.com/cbrock84/headcount/tree/main/plugins/demand-generation/skills/ai-search-optimization -g -y

Use without installing

npx skills use cbrock84/headcount@ai-search-optimization

指定 Agent (Claude Code)

npx skills add cbrock84/headcount --skill ai-search-optimization -a claude-code -g -y

安装 repo 全部 skill

npx skills add cbrock84/headcount --all -g -y

预览 repo 内 skill

npx skills add cbrock84/headcount --list

SKILL.md

Frontmatter
{
    "name": "ai-search-optimization",
    "description": "Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. Use this when traffic is shifting from links to AI answers, when a brand is misrepresented or absent in AI responses, when planning content for retrieval rather than ranking, or when deciding how AI search changes an existing SEO program."
}

AI search optimization

Classical SEO optimizes to be clicked. This optimizes to be quoted — often with no click at all. That changes what a good page looks like.

What gets cited

  • Self-contained passages. A retrieved chunk arrives without the surrounding page. Each section must make sense alone, with its subject named rather than pronominalized.
  • Direct answers near the question. Bury the answer under three paragraphs of context and the passage retrieved will be the context.
  • Specific, checkable facts — numbers, dates, named methods, stated conditions. Vague claims are neither retrievable nor quotable.
  • Attributable expertise. Named authors, stated credentials, dated content, and cited sources. Anonymous undated content is weakly weighted.
  • Structure that survives extraction — real headings, real lists, real tables. Layout implied by styling disappears.

Practical moves

  • Answer the question in the first sentence under each heading, then elaborate.
  • Write headings as the questions people actually ask.
  • Define your own terms on your own pages, so the model's definition traces to you.
  • Keep facts consistent across your site. Contradictions get resolved against you.
  • Maintain the boring canonical pages — pricing, comparisons, specifications, FAQ. These are heavily retrieved and usually neglected.

Being represented accurately

Assistants assemble an answer about you from whatever is available, weighted toward third-party and structured sources. Where those are thin or stale, the answer will be wrong.

Audit periodically: ask several assistants what your company does, who it is for, what it costs, and how it compares. Note the errors and trace them to a source. The fix is almost always publishing or correcting the source, not the assistant.

Measuring

Click-through will fall on informational queries even as influence rises. Track citation and mention frequency, and downstream branded search and direct traffic, rather than judging this program on organic sessions — that metric will say you are losing while you are winning.

Never

  • Optimize for one assistant's current behavior. Retrieval and citation rules change without notice and without a changelog.
  • Assume being crawlable means being citable. Models cite sources that answer a question cleanly, not sources that merely exist.
  • Leave an inaccurate representation uncorrected because it is not on your site. The claim propagates whether or not you own the page it came from.

Version History

  • d58a7ee Current 2026-09-02 21:05

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Metadata

Files
0
Version
d58a7ee
Hash
4f39648c
Indexed
2026-09-02 21:05

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