Research
Studies of search systems, indexing behavior, and crawl architecture.
Studies of search systems, indexing behavior, and crawl architecture.
Research here focuses on how search systems behave end-to-end — how crawlers discover and re-discover URLs, how indexers store and rank documents, how retrieval systems compose results, and how the web's surface area shapes what becomes findable. Entries are empirical where possible: small experiments, comparisons of observable behavior across engines, and notes on the systems beneath them.
Adjacent work in entity architecture, structured data, and AI-driven retrieval is cross-linked rather than duplicated.
First entries arrive in Phase 2.
Existing relevant writing: Artificial intelligence as a practical operating layer · Blog archive.