Publicações

Algorithmic Authority: A Practitioner Framework for Generative Engine Optimization Based on a 7-Day Implementation Sprint

GEO Enterprise Framework · 10 camadas · action research 17–23/03/2026

SSRN eLibrary · Quantitative Marketing eJournal + Information Technology & Systems eJournal

The emergence of Large Language Models (LLMs) as primary information intermediaries has created an urgent need for frameworks that address how digital entities achieve visibility within AI-generated responses. This paper introduces the GEO Enterprise Framework, a 10-layer practitioner model for Generative Engine Optimization derived from action research conducted during a 7-day implementation sprint (March 17–23, 2026). The sprint produced 206 commits across 8 repositories, generated 61 pages and 92 indexable URLs, implemented 29 Schema.org types within a single JSON-LD @graph architecture, and achieved an Entity Consistency Score improvement from 20% to 80% — all at zero infrastructure cost using free-tier platforms. The framework formalizes several novel constructs: the Invisible Excellence Paradox, Algorithmic Citability, and the Entity Consistency Score (ECS).