Work

ASOS Alpha 0.1: A Protocol for Measuring Answer Space Occupancy in Large Language Model Assistants

Year: 2025

Type: article

Abstract: Large language model assistants have shifted the center of brand visibility from retrieval surfaces to reasoning and recommendation layers. Traditional visibility metrics that rely on input-side optimisation no longer measure how models construct answer surfaces. The Answer Space Occupancy Score (ASOS) is a probe-based metric that quantifies the fraction of the observable answer surface occupied by a specified entity across independent runs of a controlled four-turn script. This document publishes the ASOS alpha protocol, scoring rules, validation commitments, and the first reference dataset.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17810542

Author: de Rosen, Timothy

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7108737740

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