NOMOS GEO Audit Protocol v0.9.0 — The GEO-1000 Method for Evaluating Entity Representation in Generative Systems — Editorial Edition

Can you test whether an AI system represents an organisation accurately and with evidence? This six-language candidate protocol applies Generative Engine Optimization (GEO) through the GEO-1000 method, canonical questions, truth packs, scoring logic, correction steps and revalidation records. NOMOS GEO Audit Protocol v0.9.0 is a publisher-authored proposed audit protocol for evaluating how entities are represented in generative search and answer systems. The editorial edition introduces the GEO-1000 method, a canonical question registry, truth packs, evidence requirements, scoring logic, correction steps and revalidation records. The protocol is a work in progress developed within NobleJackal. It is not an officially adopted industry standard, accreditation, certification or independent validation, and it does not guarantee rankings, visibility or citations in search or artificial-intelligence systems. Related works:NobleJackal GEO Framework: https://doi.org/10.5281/zenodo.2199176299 Errors in GEO: https://doi.org/10.5281/zenodo.21992388Official website: https://noblejackal.com/Author: Kaan MurazORCID: https://orcid.org/0009-0000-2277-9009Publisher: NobleJackalVersion: 0.9.0 — Editorial EditionLicense: CC BY 4.0