ai-content-at-scale
Installation
SKILL.md
AI Content at Scale
AI content at scale means producing 50-500+ pages of quality content using AI as the production engine with human oversight for quality. This is the operational playbook for pSEO, glossary build-outs, integration page libraries, and other high-volume content initiatives where manual production is economically impossible.
The risk is obvious: scaling AI content without quality controls produces a content farm that gets penalized by Google and ignored by AI engines. The playbook below scales volume while maintaining the quality bar.
When to Scale vs When to Craft
| Content type | Scale approach | Why |
|---|---|---|
| Glossary / term definitions | Scale (50-200 pages) | Formulaic structure, factual content, long-tail queries |
| Integration pages | Scale (20-100 pages) | Templated, factual, per-integration |
| City / location pages (pSEO) | Scale (50-500 pages) | Templated with location-specific data |
| Comparison pages | Semi-scale (10-30 pages) | Template + per-competitor customization |
| How-to guides | Craft individually | Requires depth, originality, and expert input |
| Original research | Craft individually | Unique data, can't be templated |
| POV / thought leadership | Craft individually | Requires human voice and experience |
| Case studies | Craft individually | Customer-specific stories |