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.
Three published databases and one tool that chooses across them. Each one is manually verified, exportable as CSV, and states what it excludes.
Each database above answers a different question. Business Directories is where a company creates or claims a professional profile. Marketplace & Classified Platforms is where it publishes a listing or an advertisement. Media, PR & Publishing Platforms is where it pitches, publishes, launches or sponsors. The planner picks the best combination for one business, one objective, one market and one budget — and never pretends the three actions are equivalent.
Individual studies arrive in Phase 2. Until then the collections above are the published work.
Existing relevant writing: Artificial intelligence as a practical operating layer · Blog archive.