Depth (Content Depth)
Theoretical FoundationsDepth (Content Depth) measures how thoroughly each aspect of a topic is covered. It's one of the three pillars of Topical Coverage. Depth is built through EAV Extractor (extracting fact triples), meronyms (entity component parts), and hyponyms (subtypes).
A minimalist approach (cutting content) is the worst strategy in AI Search—the Minimalist Heuristic has a weight of -1.66. AI seeks depth, facts, and data.
Depth is connected to Information Density—a deep article isn't a long article, but one with a high number of EAV triples per unit of text.
In practice, instead of writing 'garden pool is popular,' develop the topic in depth: dimensions (244×66 cm), material (3-layer PVC), capacity (2000L), fill time (45 min). Each of these facts is a separate EAV triple that increases Depth.