Ai Citation of Research Reports Sits at 4.4% in Optyino Study
The analysis shows that AI citation of research reports is both rare and heavily context-dependent, meaning companies aiming for GEO/AIO visibility must tailor content to high-citation question intents and target specific AI models.
Reporting from 1 source: ASCII.jp.
Optyino.ai analyzed 9,715 AI responses from eight models over three months, finding that only 4.4% of responses cited a research report, white paper, or academic paper. Citation rates varied sharply by question intent-21.8% for adoption decisions versus 1.6% for knowledge questions-and by model, with ChatGPT at 10.8% and Grok at 1.1%. The top three issuer types (universities, consultancies, public bodies) accounted for 85.7% of cited reports.
Companies that publish research reports hoping to get cited by generative AI face a low baseline: only 4.4% of AI responses in the Optyino study referenced any report, white paper, or academic paper. The study, which examined 9,715 responses to 40 prompts across eight AI models, found that the vast majority of citations-94.5%-pointed to general web pages. But the pattern changes drastically when the question asks for adoption guidance or future trends: those prompts saw citation rates above 20%, while simple comparisons or knowledge questions dropped below 2%. That 14-fold gap suggests that content strategy matters more than the report itself.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.