Large-scale analysis of AI engine responses shows brand visibility in three tiers (73%, 44%, 11%) with corporate sites and best-of listicles as top cited sources.
arXiv preprint arXiv:2507.05301 , year=
5 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 5representative citing papers
Audit of ChatGPT, Copilot, Gemini and Perplexity finds ~16% of cited sources are AI-generated across 712 queries on politics, health and environment.
A measurement study of 602 prompts across ChatGPT, Google AI Overview, and Perplexity finds that citation selection breadth and absorption depth diverge, with high-influence pages being longer, structured, and evidence-rich.
LLMs cite third-party domains for 85.7% of brand attributions, with Wikipedia dominant in most languages, a long-tailed domain distribution, and market-specific shifts such as YouTube and HR sites in Poland.
Two major AI providers diverge in which brands they recommend but converge on classifying the failure reasons, especially for low-prominence brands.
citing papers explorer
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Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines
Large-scale analysis of AI engine responses shows brand visibility in three tiers (73%, 44%, 11%) with corporate sites and best-of listicles as top cited sources.
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Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources
Audit of ChatGPT, Copilot, Gemini and Perplexity finds ~16% of cited sources are AI-generated across 712 queries on politics, health and environment.
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From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
A measurement study of 602 prompts across ChatGPT, Google AI Overview, and Perplexity finds that citation selection breadth and absorption depth diverge, with high-influence pages being longer, structured, and evidence-rich.
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How Large Language Models Source Brand Reputation Across Languages and Markets
LLMs cite third-party domains for 85.7% of brand attributions, with Wikipedia dominant in most languages, a long-tailed domain distribution, and market-specific shifts such as YouTube and HR sites in Poland.
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Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial Recommendation
Two major AI providers diverge in which brands they recommend but converge on classifying the failure reasons, especially for low-prominence brands.