Naver AI Search Optimization Now Has Its Own Claude Code Skill

Every AI-search optimization guide published in English shares one blind spot: none of them mention Naver, the search engine that still handles the majority of queries in South Korea. If half a business's traffic lives in a market no GEO checklist accounts for, that gap is not a footnote. It is the whole audit. fire-your-seo-agency, a free Claude Code skill built by a developer using the handle leopard627, is built around closing exactly that gap, running Naver AI search optimization as one of five audit lanes alongside the more familiar Google, Bing, and chatbot-citation checks.

The project sits at 505 GitHub stars, MIT licensed, with a commit pushed as recently as September 21, confirmed directly against the live repo rather than a scan snapshot. Its pitch is blunt: agencies charge $400 to $2,500 a month for search optimization work the creator argues is really "public standards and repeatable checklists," the kind of thing an agent can run for free.

The five lanes the skill actually checks

Most GEO tools on the market check one or two of these surfaces. fire-your-seo-agency runs all five in one pass:

• SEO: can Google and Bing's crawlers actually read and index the content
• AEO: does the content get cited inside AI Overviews and Bing Copilot's answer boxes
• GEO: does ChatGPT, Perplexity, or Claude recognize the site as a primary source when answering a category question
• LLMO: does a model's own internal, pretrained knowledge already describe the brand accurately, separate from live retrieval
• NEO: Naver's search results and its AI Briefing feature, which the README calls out directly since "global AEO guides ignore Naver entirely, but if you serve the Korean market, half your traffic lives there"

That last lane is the actual differentiator, and it is worth being specific about why it matters beyond a checklist item. Naver's AI Briefing summarizes and cites sources the same way Google's AI Overviews do, but it runs on Naver's own ranking and citation logic, not Google's, so a site that has already done the work of showing up in ChatGPT and Google's answer boxes can still be functionally invisible to a large chunk of Korean search traffic. No other AI search optimization tool this site has covered checks that surface at all.

What running an audit actually looks like

Install through Claude Code's plugin system:

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

Or clone it directly into a project's own skills folder for a project-scoped install instead of a global one. Either way, the actual audit runs as a slash command: /fire-your-seo-agency audit my site. From there the skill does not stop at a diagnostic report. It runs a content pipeline meant to close the gaps it finds: a question backlog pulled from the site's own search data, automatic structured-data generation on new content, a publish gate that content has to pass before it goes live, and a refresh and merge policy that folds aging posts into newer ones instead of letting a site accumulate stale pages nobody revisits. The stated measurement is not posts published. It is posts that actually get seen and cited.

The skill is also explicit about what it refuses to do, which is worth noting given how much of the SEO tooling market still sells shortcuts: no purchased backlinks, no engagement pods, no keyword stuffing, hidden text, or cloaking, and no "guaranteed rankings" claims without measurement behind them. The stated philosophy, direct from the README: "AI doesn't cite good writing. AI cites accurate data. Become the primary source for a number, and the citations follow."

The one number in the README that does not hold up

The project's headline case study describes a Korean stock-research site reaching 1.54 million search impressions in 30 days, an 85,578 percent month-over-month jump, and content cited "paragraph-by-paragraph" by Naver's AI Briefing, all with zero ad spend. That is a dramatic number, and it deserves the same scrutiny this site applies to any vendor's own benchmark. The README offers no methodology, no linked dashboard, and no third-party verification for that figure. It points to an external Threads account as the only place the claim is "documented." Until that traces back to something checkable, the honest read is that this is the project's own unverified success story, not a confirmed result, and it should be treated as marketing copy rather than evidence.

Who this is actually for, and who it is not

This is for a marketer or small agency already doing hands-on SEO work who wants an audit and a repeatable publishing system they can run themselves instead of paying a monthly retainer for checklist work, especially anyone with real Korean-market traffic that existing English-language GEO tools simply do not address. It is not a fit for a team that needs the case-study-level proof already in hand before adopting a new tool, since the one number the project leads with cannot currently be verified independently. It is also not a replacement for actual subject-matter expertise or original reporting; the skill audits structure and citation surfaces, it does not write the content that earns those citations in the first place.

Sourced from the fire-your-seo-agency repository on GitHub, its README, and GitHub's repository API, checked directly against the live repo.