How AI decides what to recommend
Understand how ChatGPT, Perplexity, and Gemini decide what to recommend. Research-backed insights for the new era of search.
Understanding the fundamentals
When users ask AI assistants for recommendations, the AI generates responses by citing specific brands, products, and resources. Unlike traditional search where you optimize for ranking position, AI citation is binary — you're either recommended or you're not.
Understanding the factors that drive AI citation decisions is the foundation of Generative Engine Optimization (GEO).
Learn MoreHow AI decides what to cite
Publications
A comprehensive analysis of AI citation patterns across 14 industries, measuring how ChatGPT, Perplexity, and Gemini recommend brands and resources.
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Reverse-engineering the citation decision framework used by large language models when generating recommendations and references.
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Data-driven comparison of traditional search optimization versus generative engine optimization, based on 500+ controlled experiments.
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Free tools
Measure, monitor, and improve your AI visibility.
Industry data
Citation rates vary dramatically across industries. Technology and education lead, while travel and hospitality lag behind.
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First Citation is backed by 500+ research files, 60+ firms analyzed across 5 AI platforms, and TÜBİTAK BİGG-funded R&D. We combine academic rigor with practical tools to help brands navigate the AI search revolution.
Sheltron GEO Ecosystem
Get research updates, citation insights, and tool announcements.