Fire Your SEO Agency: Make Your Site the AI-Cited Source

Where this fits

Your CEO just asked, "Why are we paying an agency when ChatGPT cites our competitor's numbers?" You've spent months fighting content sprawl, broken structured data, and a sitemap that hasn't updated since the last rebrand. fire-your-seo-agency steps in where an agency's monthly retainer leaves you guessing: it runs a five-lane diagnostic (SEO, AEO, GEO, LLMO, and Naver's NEO), then implements fixes directly from the terminal. No project manager, no 30-slide deck, no waiting until next quarter — just a measured path from "we exist" to "AI cites us as the primary source."

Why agents benefit

• Zero-UI diagnosis: The skill's Phase 0 runs curl-based checks for SSR content, robots.txt, sitemap.xml, and llms.txt — giving an agent a concrete scorecard without a browser or API keys.
• Strict white-hat enforcement: The built-in rules block link buying, cloaking, and misleading JSON-LD, so the agent never ships actions that risk the whole domain.
• Crawl-first verification: The agent treats "rendered by JavaScript" as invisible. It verifies with raw HTML before claiming any fix is live.
• Source-of-truth strategy: Instead of generic "write better content," it forces the agent to identify which data points (prices, specs, dates) the site can claim as original — the stuff LLMs actually cite.
• Measurement built-in: The skill mandates that no task is "complete" without a before/after metric — query counts, indexed pages, or citation appearances.

Practical scenarios

Scenario 1: Kill the 404s and resurrect the sitemap

You inherited a legacy site with 12,000 orphaned pages. The skill's diagnostic flags hundreds of 404s, a stale sitemap.xml, and zero llms.txt. The agent fixes those first, proving the crawl surface is clean before any content rewrite.

Scenario 2: Make a product page the answer to "best CRM pricing"

Rather than targeting a vague keyword, the skill guides the agent to build a pricing table with exact numbers, mark it with JSON-LD, and serve it as static HTML — so an LLM retrieval picks up the table as ground truth, not a competitor's summary.

Scenario 3: Prepare for Naver's AI briefings

For Korean-market sites, the skill checks NEO readiness: structured data for Q&A, clean categories, and no duplicate meta. It runs both Korean and English loc tests to ensure the site appears in Naver's generated briefings, not just Google's snippets.

Add it to your agent workflow

Install the skill via the Skills CLI:

npx skills add leopard627/fire-your-seo-agency --skill fire-your-seo-agency

Then trigger it with a natural-language prompt like: "Run the five-lane audit on example.com and give me a prioritized fix list." The agent will output the scorecard and begin implementing the top fixes — starting with the curl-verified basics.

Compare before adopting

Before adding this skill, evaluate it against the no-code SEO tools you already use: does it produce actionable signals, or just surface "score" anxiety? Check the repository's freshness (last commit date, open issues) and whether the author updates the skill for search engine guideline changes. Compare it to a manual checklist — the value here is automation, not the checklist itself. If your team already uses Semrush or Ahrefs workflows, see if this skill's curl-based checks replace or complement those integrations.

Why it is worth tracking

fire-your-seo-agency has 24 stars and a clear, opinionated README — a good sign we're early but the approach is solid. It's worth tracking because it's a rare skill that turns SEO from a black-box agency service into a repeatable, measurable engineering task. Watch for updates that add more structured-data templates or integrate with your CI pipeline. When your next project needs to be cited by an LLM, this skill should be your first evaluation point. For more context, see the skill's full listing at OpenAgentSkill — but the README alone tells you enough to start testing today.