# OurSEO Agent (CLI + MCP)

The **on-page** half of content strategy work — what the target site itself publishes, in what shape, with what schema. Pair with a keyword backend (Semrush/Ahrefs) for performance data.

## CLI commands (Claude Code)

```bash
# Crawl the target for content inventory (titles, H1s, meta, last-modified)
our collect crawl https://<site> --max-pages 500

# Korean batch keyword research for content gaps
our keywords ideas "<seed>" --location 2410 --limit 50
our keywords for-site <competitor.com> --location 2410 --limit 100
our serp ranked-keywords <domain> --location 2410 --limit 100

# Naver-specific content discovery
our research naver keywords ideas "<seed>" --limit 30
our research naver serp "<keyword>"
```

## MCP tools (Claude Desktop)

```
mcp__ourseo__crawl_website(url="<target>", max_pages=200)
mcp__ourseo__find_similar_pages(crawl_path="<path/to/crawl.json>", query="<topic>")
mcp__ourseo__search_knowledge_graph(query="<entity>")
```

## Strengths for this skill

- **`crawl_website` is the ground-truth on-page content inventory.** No vendor estimates — just what the site publishes.
- **`find_similar_pages`** does semantic clustering on a prior crawl (Vertex AI embeddings) — useful for topic-cluster building and cannibalization candidates.
- Korean Naver content discovery via `our research naver *` covers a market Semrush/Ahrefs don't reach.

## Not for this skill when

- **Search volume / KD per keyword** — Semrush MCP is the cleanest source.
- **Top pages by traffic on competitor sites** — Ahrefs `site-explorer-top-pages`.
- **First-party content performance** — GSC `pages` / `combined` reports.