Stage 3 — AI Classification: Purpose & Identity Recognition (v0.7)
Abstract
Comprehensive technical documentation of Stage 3 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems categorise and understand the purpose and identity of digital entities through content classification, structured data interpretation, and semantic analysis. Details URL path analytics, content type distribution, JSON-LD processing, Schema.org vocabulary recognition, and the classification conditions required for AI systems to proceed with coherence evaluation. Part of the AI Visibility Architecture (AIVA) framework documentation.
Fields of Study & Subjects
Topic Modeling
Information Retrieval and Search Behavior
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 February 2026
- Language
- EN