Guest Post — Scholarly AI Search Shortcomings and the Need for Better Metadata
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
As with previous shifts in content discovery, today’s winners will be those who understand the strengths and limits of AI search, and design systems that let researchers move fluidly between precision and synthesis.
As the search and user behavior landscapes undergo dramatic evolutions, marketers and others are left to wonder what SEO means for publishers now.
What happens when AI-infused information systems increasingly provide answers rather than directing people to sources?