From GEO to AIVO: Why Generative Engine Optimization Is Obsolete

This paper examines the short-lived concept of Generative Engine Optimization (GEO), which emerged in the early 2020s as an attempt to adapt SEO techniques to generative AI. GEO emphasized influencing external sources and prompts but lacked governance and measurable standards. The analysis concludes that GEO is an obsolete marketing term, superseded by AI Visibility Optimization (AIVO). AIVO introduces auditable KPIs such as the Prompt-Space Occupancy Score (PSOS™), enabling transparent measurement of brand visibility in AI assistants.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17013337
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

From GEO to AIVO: Why Generative Engine Optimization Is Obsolete

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

From GEO to AIVO: Why Generative Engine Optimization Is Obsolete

article en

Abstract

This paper examines the short-lived concept of Generative Engine Optimization (GEO), which emerged in the early 2020s as an attempt to adapt SEO techniques to generative AI. GEO emphasized influencing external sources and prompts but lacked governance and measurable standards. The analysis concludes that GEO is an obsolete marketing term, superseded by AI Visibility Optimization (AIVO). AIVO introduces auditable KPIs such as the Prompt-Space Occupancy Score (PSOS™), enabling transparent measurement of brand visibility in AI assistants.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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From GEO to AIVO: Why Generative Engine Optimization Is Obsolete · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS