pseo-ai-content-enrichment
Installation
SKILL.md
pSEO AI Content Enrichment
AI content enrichment is the process of using LLMs to add unique, valuable content to programmatic SEO pages at scale. Raw data produces thin pages. AI enrichment transforms structured data into pages with unique descriptions, per-entry analysis, specific FAQ sections, and contextual content — without the cost of manually writing 500 pages.
The key distinction: AI is the production tool, not the data source. The data must come from verified sources. AI transforms that data into readable, structured content.
The AI Enrichment Pipeline
| Stage | Input | AI action | Output | Human check |
|---|---|---|---|---|
| 1. Description generation | Entity name + data fields | Generate a 100-200 word unique description per entry | Per-entry description | 20% sample review |
| 2. Comparison context | Entity data + competitor data | Generate "how it compares" section per entry | Per-entry comparison paragraph | 20% sample review |
| 3. Pros/cons generation | Entity features + reviews | Generate 3-5 pros and 2-3 cons per entry | Per-entry pros/cons list | 20% sample review |
| 4. FAQ generation | Entity data + PAA research | Generate 3-5 entry-specific FAQ Q&A pairs | Per-entry FAQ section | 20% sample review |
| 5. Expert summary | All generated content + data | Generate a 2-3 sentence "our take" per entry | Per-entry expert callout | 50% review (higher stakes) |