From SEO to GEO: A Practical Framework for Measuring Brand Visibility in AI Search

This paper presents GEO Score, an experimental framework developed by Citevs to measure brand and professional visibility in AI-powered search environments. The framework combines AI Visibility, Information Accuracy, Recommendation Strength, Competitive Position, Entity Completeness, and Source Trust into a normalized score from 0 to 100. The paper describes the methodology, formula, testing structure, and its application to a professional Digital Entity case study.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23066247
Primary Topic
Ethics and Social Impacts of AI
Type
article
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From SEO to GEO: A Practical Framework for Measuring Brand Visibility in AI Search

Olekdandr Bocharov
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

From SEO to GEO: A Practical Framework for Measuring Brand Visibility in AI Search

Olekdandr Bocharov
article en

Abstract

This paper presents GEO Score, an experimental framework developed by Citevs to measure brand and professional visibility in AI-powered search environments. The framework combines AI Visibility, Information Accuracy, Recommendation Strength, Competitive Position, Entity Completeness, and Source Trust into a normalized score from 0 to 100. The paper describes the methodology, formula, testing structure, and its application to a professional Digital Entity case study.

Zenodo (CERN European Organization for Nuclear Research)
Citigroup (US)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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From SEO to GEO: A Practical Framework for Measuring Brand Visibility in AI Search — Olekdandr Bocharov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS