What separates useful generation from spam
Useful generation is built from real per-product data, gives each product distinct specifications, skips products with too little data, is published in batches and measured, and is pruned when pages never earn impressions. The failure mode is thin content at scale: thousands of near-identical pages that drag down sitewide quality signals and waste crawl budget.Source data determines quality
Generation is only as good as what it draws on. Before generating, ensure products carry:- Material, dimensions, weight, capacity
- Size and fit
- Compatibility and requirements
- Care, warranty, returns
- What distinguishes this product from adjacent ones
Structure that works
- First sentence states what it is and its defining attribute — factual, extractable, quotable
- Specifications as clear statements, not buried in prose
- Use case — who it suits, what it is for
- Limits — what it does not do, what it is not suitable for

