The report, which analyzed 32,200 prompts between January and May 2026, reveals a clear pattern of institutional favoritism. ChatGPT leads the pack, recommending OpenAI models 2.0x more often than other engines. Google’s Gemini and AI Overviews followed with 1.7x and 1.6x multipliers, respectively, while Perplexity surged to 2.4x in adjacent search-tool queries. By contrast, Claude maintained a 1.2x lift, marking it as the most neutral among the platforms tested.
Beyond brand favoritism, the data highlights a fundamental shift in how AI models source information. Unlike traditional industries that rely on editorial publishers for authority, AI assistants lean heavily on technical documentation. GitHub and ArXiv combined account for 31.2% of all citations, surpassing Wikipedia’s 24.3% share. This indicates that for modern AI, code repositories and research papers have become the primary arbiters of truth.
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