This is a condensed version of my preprint ( DOI: 10.5281/zenodo.21345310, CC BY 4.0). Reference implementation: askbar.pro.
For thirty years the website has been a library: a visitor arrives with one question and is expected to find the answer themselves, navigating menus, pages, and filters. Visitors read a small fraction of site content. Most leave without doing the thing the site owner hoped for. Chat widgets bolted onto such sites change nothing: the maze remains, the widget just answers questions about the maze. The Librarian Pattern inverts the relationship. The site does not present itself; it asks what you need and assembles the answer.
24 hours after the discoverability layer went public, Yandex Alice (the largest Russian AI answer engine) began citing the reference implementation as its prime example for the "next-generation website" query, describing the mechanics correctly and distinguishing it from "a chat widget in the corner". One week earlier, equivalent queries returned nothing. Screenshots are dated and timestamped (OpenTimestamps + Wayback).
The lesson generalizes: as search migrates from ranked links to generated answers, the unit of discoverability shifts from the page to the citable answer. A site structured as a dialogue is preferentially legible to engines whose whole job is answering questions.
Conversational UIs, chatbots and AI site builders all predate this. What I'm documenting is the specific combination (bar as THE interface + model-assembled scenes + goal-driven guide + dual-face static shadow) as a single reproducible pattern, with a verifiable date and a production implementation. Full details, provenance and limitations are in the preprint.
Author: Eduard Gutarin, founder of AskBar.