Showing 1–6 of 6 dossiers

A preregistered field experiment finds Google’s AI search reduces publisher clicks

The study moves the AI-search traffic debate beyond observational correlations: participants were randomly assigned to current Google Search, a version with AI features hidden, or AI Mode-only search during ordinary browsing. It is still a preprint and does not establish effects for every query or publisher.

Zipchat’s rebuild shows how platform risk reshaped its AI SaaS economics

Zipchat is useful as an operating case study, not a comeback story. Founder-reported figures show how a prior platform dependency failure influenced a new AI SaaS model built around reply-based pricing, channel diversification, revenue-based financing and tighter hiring discipline.

Search visibility is shaped by crawling, indexing, ranking systems, structured data, merchant surfaces and the controls that publishers use to understand them. These systems change independently of ordinary content advice, and a documentation, policy or product change can require technical work or alter which businesses remain discoverable.

BTN follows concrete developments from Google Search Central, Search Console, Bing Webmaster, Merchant Center, standards work and relevant search tooling. Coverage starts with primary announcements and documentation, then uses reputable specialist reporting to clarify rollout and consequence. Generic ranking tips, unverified volatility and speculative optimisation claims are not developments. The useful outcome is a defensible explanation of what changed, how visibility or implementation may be affected, and what builders can verify or do next.