🔥 fire-your-seo-agency
한국어 · English
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:
- 1.54M search impressions in 30 days (+85,578% MoM), 7.4K clicks
- Pages cited paragraph-by-paragraph by Naver's AI Briefing (Korea's answer engine)
- Zero ad spend — all inbound from search and AI citations
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.
Plus a content engine. Most of a retainer pays for "N posts a month". This skill
replaces that with a pipeline: a question backlog pulled from your own search data, a
frontmatter content model that generates the JSON-LD, a publish gate every post must pass,
and a refresh/merge policy so posts don't rot. Output is measured as "posts that get seen
and cited", not "posts published".
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
For Codex, put it under .agents/skills (no need to commit a copy into your repo):
git clone https://github.com/leopard627/fire-your-seo-agency.git .agents/skills/fire-your-seo-agency # project
git clone https://github.com/leopard627/fire-your-seo-agency.git ~/.agents/skills/fire-your-seo-agency # personal
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
- Audit — reads your site the way a crawler does (no JavaScript) and scores all five lanes
- Technical base — fixes SSR exposure, sitemaps, meta, structured data
- Intent landing pages — designs pages on the "one question = one page" principle
- Machine readability — llms.txt, JSON-LD, citation-ready paragraph structure
- Naver — from Search Advisor registration to AI Briefing citation requirements
- Content engine — sub-blog setup, question backlog, publish gate, refresh & merge policy
- Measurement loop — schedules a re-measurement and proves the change with numbers
What it refuses to do
- ❌ Buying backlinks, engagement pods, content spam — we don't fight the search engine
- ❌ "Guaranteed rankings" promises — no claims without measurement
- ❌ Keyword stuffing, hidden text, cloaking — nothing that gets your domain killed
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.
以上为 README 的开头部分。其余内容请阅读原文。 查看完整 README ↗
