fire-your-seo-agency README

The project's README from github.com/leopard627/fire-your-seo-agency. As one markdown file: README.md.

🔥 fire-your-seo-agency

한국어 · English

fire-your-seo-agency

Paying $400–$2,500/month for an SEO or "AI visibility" agency? Fire them. Your AI agent can do the work.

A wave of services now charges monthly retainers for "AI-era search optimization", "guaranteed ChatGPT citations", and "LLM visibility". Most of what they actually do is public standards and repeatable checklists. When a human does it, it's a retainer. When your agent does it, it's a skill.

This repository is a Claude Code skill. Install it and your agent audits your site, fixes what's broken, and measures the results.

Built on real numbers

This is not theory. The same playbook, applied to Chickenstock — a solo-built Korean stock research service:

The journey is documented publicly on Threads @kindainvestor.

The five lanes

"Search optimization" means different things to different engines. This skill treats them as five distinct lanes:

Lane Target The question it answers
SEO Google & Bing crawlers Can crawlers read and index my content at all?
AEO (Answer Engine) Google AI Overviews, Bing Copilot Does the AI answer box above the results cite me?
GEO (Generative Engine) ChatGPT, Perplexity, Claude When generative AI browses, am I the primary source?
LLMO (LLM Optimization) The model's own knowledge Does the model know my brand — and know it correctly?
NEO (Naver Engine) Naver search & AI Briefing Half of the Korean market — does Naver cite me?

NEO is what makes this skill different. Global AEO guides ignore Naver entirely, but if you serve the Korean market, half your traffic lives there.

Install

As a plugin (recommended — one command, easy updates):

/plugin marketplace add leopard627/fire-your-seo-agency
/plugin install fire-your-seo-agency@fire-your-seo-agency

Or via git clone:

# As a project skill (this project only)
git clone https://github.com/leopard627/fire-your-seo-agency.git .claude/skills/fire-your-seo-agency

# Or as a personal skill (every project)
git clone https://github.com/leopard627/fire-your-seo-agency.git ~/.claude/skills/fire-your-seo-agency

Then in Claude Code:

/fire-your-seo-agency audit my site

Your agent starts with a crawler-eye audit and returns a scorecard like this before touching anything:

Lane Status Evidence
SEO ⚠️ Body is SSR'd, but 214 detail pages missing from sitemap
AEO ❌ No direct-answer first paragraphs; FAQ structured data: 0
GEO ❌ No llms.txt; GPTBot/PerplexityBot policy undecided in robots.txt
LLMO ⚠️ Brand name spelled 3 different ways across surfaces
NEO ❌ Not registered in Naver Search Advisor

…then proposes priorities, implements them, and schedules the re-measurement.

What it does

  1. Audit — reads your site the way a crawler does (no JavaScript) and scores all five lanes
  2. Technical base — fixes SSR exposure, sitemaps, meta, structured data
  3. Intent landing pages — designs pages on the "one question = one page" principle
  4. Machine readability — llms.txt, JSON-LD, citation-ready paragraph structure
  5. Naver — from Search Advisor registration to AI Briefing citation requirements
  6. Measurement loop — schedules a re-measurement and proves the change with numbers

What it refuses to do

The whole philosophy fits in one line: AI doesn't cite good writing. AI cites accurate data. Become the primary source for a number, and the citations follow.

Structure

SKILL.md              ← agent operating procedure (audit → implement → measure)
references/
  seo.md              ← technical SEO checklist + real-world traps
  aeo.md              ← answer engine optimization (Bing WMT · AI Overviews · Copilot · E-E-A-T)
  geo.md              ← generative engine optimization (AI crawler policy · llms.txt · primary source)
  llmo.md             ← model-knowledge optimization (brand entity)
  neo-naver.md        ← Naver (Search Advisor · AI Briefing · blog two-track)
  measure.md          ← the measurement loop (fixing it is not the finish line)
  en/                 ← English mirrors of all reference docs (for human readers)
.claude-plugin/       ← plugin & marketplace manifests (/plugin install support)

The Korean documents under references/ are canonical (the agent reads those); references/en/ mirrors them in English for human readers.

License

MIT — use it freely, and keep the retainer money.

fire-your-seo-agency (leopard627/fire-your-seo-agency)

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800 ·GitHub
Fire-your-seo-agency
这是什么？一个 Claude Code 技能，跨五个搜索可见性渠道（SEO、AEO、GEO、LLMO 和 Naver 的 NEO）审计并优化网站，做的是收费的“AI 搜索优化”代理机构会收钱做的工作。
这是独立应用，还是只能在 Claude Code 里运行？它是一个技能，不是独立应用——它在 Claude Code 内运行，通过你现有的代理来驱动审计、修复和重新测量。
使用它需要 Claude Code 吗？需要。它只能作为 Claude Code 技能运行——没有独立的 CLI、Web 面板或单独的运行时。
它会使用外链伎俩或保证排名吗？不会——它明确拒绝购买外链、互赞小圈子、内容垃圾、“保证排名”的承诺，以及关键词堆砌或伪装。
为什么它把 Naver（NEO）当作独立的一条线？因为全球性的 AEO/GEO 指南完全忽视 Naver，而对于面向韩国市场的网站，Naver 带来大约一半的搜索流量。
它审计的五个渠道是什么？SEO（Google/Bing 爬虫收录）、AEO（Google AI Overviews 和 Bing Copilot 等 AI 回答框）、GEO（ChatGPT、Perplexity、Claude 等生成式引擎）、LLMO（模型是否正确认识你的品牌），以及 NEO（Naver 搜索和 AI Briefing 引用）。
审计实际产出什么？一份记分卡，在代理提出并实施修复之前，用具体证据（例如“页面未出现在 sitemap 中”或“没有 llms.txt”）为五个渠道逐一评分。
有现实世界的证据证明它有效吗？作者把同一套打法用在了一个人独立开发的韩国股票服务（Chickenstock）上，报告 30 天内获得 154 万次搜索展示（环比 +85,578%），并在零广告投入的情况下获得 Naver AI Briefing 的段落级引用。
该技能会实施哪些具体修复？它涵盖技术性 SEO 基础（SSR 暴露、sitemap、meta、结构化数据）、基于意图的落地页、llms.txt 和 JSON-LD 等机器可读性文件、Naver Search Advisor 注册，以及用于验证效果的定期重新测量循环。
What are similar projects?geo-score, marketing-os, canonry, open-seo-mcp-skills, marketing-skills, newsjack, claude-seo, geo-seo-claude
Which topics is it in?answer-engine-optimization, ai-search, llms-txt, geo, generative-engine-optimization, korean, seo, claude-code-skill, ai-tools, claude-skills, skill, agent-skills
Creator
leopard627
Size
2.3 MB
Stars
800
Updated
CommitSep 25Releasefire-your-seo-agency--v1.2.1Sep 25
Age
1mo
Commits · 90 Days