AI-native SEO practitioner — I build marketing systems that run themselves using Claude Code.
I replaced a traditional SEO + marketing stack with a fully automated agent system.
| What | Numbers |
|---|---|
| AI agents built | 72 across 9 functions |
| Skill files | 72 (29 SEO + 43 marketing) |
| Scheduled automations | 12 tasks — daily, weekly, monthly |
| Keywords tracked live | 29 with week-over-week history |
| LLM citations tracked | 5,385 across 9 competitor brands |
| Automation score | 88/100 |
Live Data (GSC · GA4 · Semrush · LinkedIn · BigQuery)
↓ via MCP — no CSV exports, no copy-paste
9 Agent Groups (Strategy · Content · Technical · GEO · Analytics · Authority · CRM · Social · Director)
↓
Nervous System (Watchdog → Action Executor → Feedback Loop)
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Results measured automatically — did the fix actually work?
Most Claude Code + SEO setups use manual CSV exports and static prompts. This system queries live APIs directly and runs without anyone typing a command.
npx skills add anandan-digital-marketer/seo-agent-skills29 SEO agent skills covering technical auditing, LLM/GEO visibility, content strategy, authority building, rank tracking, and direction.
Claude Code · Python · Node.js
GSC API · GA4 API · Semrush MCP · LinkedIn MCP · BigQuery
Windows Task Scheduler · Agent Skills spec
Building in public. Always learning.