🔥 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:

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:

…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

• ❌ 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.

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.