seo-ops
AI-powered SEO operations: keyword intelligence, competitor gap analysis, Google Search Console optimization, and trend detection. Use when asked to research keywords, analyze competitor content gaps,
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GitHubAI SEO Ops
AI-powered SEO operations: keyword intelligence, competitor gap analysis, GSC optimization, and trend detection.
Core Tools
| Tool | Purpose |
|---|---|
scripts/content_attack_brief.py |
Full keyword intelligence pipeline: BOFU keywords, competitor gaps, decaying pages |
scripts/gsc_client.py |
Google Search Console API client (CLI + library) |
scripts/gsc_auth.py |
One-time OAuth setup for GSC access |
scripts/trend_scout.py |
Multi-source trend detection across Google Trends, HN, Reddit, X |
Core Rules
- Run
scripts/gsc_auth.pyonce before any GSC tool — it saves the OAuth token locally. - Keywords are prioritized by Impact × Confidence (max 100) — focus on high-score BOFU targets first.
- Check the playbook in growth-engine before creating new content to apply proven patterns.
- Weekly cadence: full brief + daily striking-distance check + 2×/week trend scout.
References
- references/tool-reference.md — full CLI and library usage for all four tools
- references/configuration-and-scoring.md — environment variables, scoring model, funnel classification, workflow, dependencies