#AISChallenge - Day 7 · AI Automation Society

#AISChallenge - Day 7

Built my Executive Assistant for SEO automation!

I used this challenge to build something I actually needed: an EA in Claude Code that handles the most repetitive part of my team's workflow — keyword research and semantic clustering.

What I built:

Context files with my role, team structure, current priorities, and business goals
A full SEO pipeline skill that chains 4 steps end-to-end: seed words → keyword combinations → Yandex Wordstat volumes → page clusters
Each step is a separate skill I can also run standalone

How it works: I type /seo-pipeline [keyword] and the assistant scrapes Yandex + Google SERP, extracts seed keywords, generates combinations, checks search volumes, and outputs a structured cluster map — ready to hand to the SEO team.

APIs connected:

SerpAPI — scrapes Yandex + Google SERP results
Firecrawl — extracts content from competitor pages
Yandex API — pulls real search volume data from Wordstat
Google Sheets API — exports results for the team

The part that surprised me: Building the skill the first time manually forced me to document every decision. When I asked Claude Code to "turn this into a skill," it already had all the context it needed. The quality of the output was noticeably higher because the EA knows our niche, our market, and our team setup.

What's next: Connect MCP servers for real-time data and automate the morning SEO check-in.

This thing is genuinely useful on day one. That's the bar I was aiming for.

Big thank you to Nate Herk for this course — it gave me a real framework, not just a demo.🌻

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