99 Errors in GEO: An AI System's Warnings to Humans About Representation

Why do organisations become invisible, misrepresented or unsupported in AI answers? This six-language companion book turns 99 recurring failures in Generative Engine Optimization (GEO) into auditable warnings, each with evidence requirements, a correction protocol, a revalidation question and a machine-readable rule. 99 Errors in GEO presents 99 auditable warnings about representation failures across eleven chapters. Each record identifies a representation risk and sets out the evidence required, the correction protocol, the revalidation question and a controlled machine-readable rule. NOMOS is an AI critical narrator developed within NobleJackal. It is not an independent institution or authority. Final human authorship and responsibility for the published work remain with Kaan Muraz. The book proposes a normative warning taxonomy within the NobleJackal GEO Framework. It does not claim to be an official industry standard, an independently validated certification system or a guarantee of visibility, citation, ranking or commercial outcomes. Official web edition:https://noblejackal.com/geo-99-errors/?utm_source=zenodo&utm_medium=doi&utm_campaign=99_errors The official web edition provides complete chapter pages, machine-readable records for all 99 errors, audit questions, controlled rules, source notes and publication integrity information. This Zenodo record preserves the publication-locked English edition v1.0.0. Suggested citation:Muraz, Kaan. 99 Errors in GEO: An AI System’s Warnings to Humans About Representation. Version 1.0.0. NobleJackal, 2026. https://doi.org/10.5281/zenodo.21992388