Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent (#2)

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Andrew Yim
2026-02-14 01:09:35 +09:00
committed by GitHub
parent d2d0a2d460
commit a28bfbf847
34 changed files with 265 additions and 262 deletions

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## Overview
SERP analysis tool for understanding search result landscapes. Detects Google SERP features (featured snippets, PAA, knowledge panels, local pack, video, ads), analyzes Naver SERP composition (blog, cafe, knowledge iN, Smart Store, brand zone, VIEW tab), maps competitor positions, and scores SERP feature opportunities.
SERP analysis tool for understanding search result landscapes. Detects Google SERP features (featured snippets, PAA, knowledge panels, local pack, video, ads), analyzes Naver SERP composition (blog, cafe, knowledge iN, Smart Store, brand zone, shortform, influencer), maps competitor positions, and scores SERP feature opportunities.
## Quick Start
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- Brand zone presence detection
- Shortform/influencer content analysis
## Ahrefs MCP Tools Used
## Data Sources
| Tool | Purpose |
|------|---------|
| `serp-overview` | Get SERP results for a keyword |
| `keywords-explorer-overview` | Get keyword metrics and SERP features |
| `site-explorer-organic-keywords` | Map competitor positions |
| Source | Purpose |
|--------|---------|
| `our-seo-agent` CLI | Primary data source (future); use `--input` for pre-fetched JSON |
| WebSearch / WebFetch | Live SERP data and Naver section analysis |
| Notion MCP | Save analysis report to SEO Audit Log database |
## Output Format

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Naver SERP Analyzer - Naver search result composition analysis
==============================================================
Purpose: Analyze Naver SERP section distribution, content type mapping,
brand zone detection, and VIEW tab content analysis.
brand zone detection, and section priority analysis.
Python: 3.10+
Usage: