From GEO to AIVO: Why Generative Engine Optimization Is Obsolete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 The analysis concludes that GEO is an obsolete marketing term, superseded by AI Visibility Optimization (AIVO).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.17013336
Primary Topic
Geological and Geochemical Analysis
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From GEO to AIVO: Why Generative Engine Optimization Is Obsolete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)
Geological and Geochemical Analysis
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From GEO to AIVO: Why Generative Engine Optimization Is Obsolete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 The analysis concludes that GEO is an obsolete marketing term, superseded by AI Visibility Optimization (AIVO).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)
Openalex Percentile: Top 45%
Geological and Geochemical Analysis
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From GEO to AIVO: Why Generative Engine Optimization Is Obsolete · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS