Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent (#2)
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## Overview
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AI search visibility and brand radar tool for tracking how a brand appears in AI-generated search answers. Monitors AI answer citations, tracks share of voice in AI search vs competitors, analyzes cited domains and pages, and tracks impressions/mentions history. Uses Ahrefs Brand Radar APIs for comprehensive AI visibility monitoring.
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AI search visibility and brand radar tool for tracking how a brand appears in AI-generated search answers. Monitors AI answer citations, tracks share of voice in AI search vs competitors, analyzes cited domains and pages, and tracks impressions/mentions history. Uses our-seo-agent CLI or pre-fetched data for comprehensive AI visibility monitoring.
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## Quick Start
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@@ -74,19 +74,13 @@ python scripts/ai_citation_analyzer.py --target example.com --responses --json
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- Competitor citation comparison
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- Recommendation generation for improving AI visibility
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## Ahrefs MCP Tools Used
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## Data Sources
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| Tool | Purpose |
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|------|---------|
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| `brand-radar-ai-responses` | Get AI-generated responses mentioning brand |
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| `brand-radar-cited-domains` | Domains cited in AI answers |
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| `brand-radar-cited-pages` | Specific pages cited in AI answers |
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| `brand-radar-impressions-history` | Brand impression trend over time |
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| `brand-radar-impressions-overview` | Current impression metrics |
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| `brand-radar-mentions-history` | Brand mention trend over time |
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| `brand-radar-mentions-overview` | Current mention metrics |
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| `brand-radar-sov-history` | Share of voice trend |
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| `brand-radar-sov-overview` | Current share of voice |
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| Source | Purpose |
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|--------|---------|
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| `our-seo-agent` CLI | Primary data source (future); use `--input` for pre-fetched JSON |
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| WebSearch / WebFetch | Supplementary live data |
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| Notion MCP | Save audit report to database |
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## Output Format
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