"Can you upload 100+ documents to NotebookLM?"

"Does Elephas work offline?"

"How to use local LLMs on Mac?"

These aren't the sexy keywords. But they convert like crazy.

🎯 What This Is

Ultra-specific question-based articles that answer exactly what someone typed into Google. Low competition, high intent, fast rankings.

📝 Articles I Wrote:

- How to Upload More Files to NotebookLM

- Best Practices for Organizing NotebookLM Notebooks at Scale

- NotebookLM Daily/Monthly Usage Limits Explained (2026)

- NotebookLM Limits Explained: Free vs Plus vs Ultra

- How to use ChatGPT to Summarize Research papers

📊 Results

- Quick rankings (usually within 2-4 weeks)

- Lower competition = easier wins

- High engagement from exact-match intent

- Better conversion rates than broad keywords

⚙️ Tools Used

Claude Code + GitHub repository for content system

💡 Why This Works

Most companies chase broad keywords. I chase the specific questions real users are typing. Less traffic per article, but the traffic that comes actually converts.