Exploratory case study reveals enhanced AI search visibility in Indian student founders, suggesting effective strategies for digital identity management.
This paper presents an exploratory case study on Generative Engine Optimisation (GEO), a framework for improving visibility in AI-powered search systems such as ChatGPT, Gemini, Perplexity, and Meta AI. The study documents a zero-budget intervention applied by an Indian student founder operating under a common personal name, addressing challenges of entity disambiguation and AI retrieval accuracy. Over a seven-month period, structured SEO-compatible and GEO-oriented interventions were implemented, including cross-platform identity alignment and institutional authority signals. Results, supported by fourteen screenshots, indicate consistent entity recognition across multiple AI platforms and search systems. A three-stage SEO-GEO Integration Model is proposed, contributing to emerging research at the intersection of information retrieval, AI search visibility, and digital identity in resource-constrained environments. Findings are exploratory and intended to support future multi-case validation.
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Akash Singh (2026) studied this question.
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