A recent analysis of 18,012 verified ChatGPT citations suggests that the location of information on a web page can materially affect its chance of appearing in AI-generated answers. According to the research, 44.2% of citations originated in the first 30% of a page's content. For publishers and enterprise teams, the finding makes content architecture more than an editorial concern. It raises practical questions about attribution, source governance, licensing, and how organizations make their most defensible information accessible to AI systems.
The result comes from Growth Memo's analysis of proprietary data and AI citations, which examined roughly 1.2 million prompts and responses to identify the verified citations. It found a pronounced, ski-ramp-shaped distribution: citations were concentrated near the start of pages and declined toward the end. The analysis also cautions that precise percentages vary by vertical and prompting context, so the pattern is not a guarantee for any individual page or response.
What the citation distribution shows
The important point is not simply that introductory copy matters. The data indicates that clear, extractable evidence placed early is more likely to be available when a model selects material to cite. That can include a definition, a proprietary statistic, a direct answer to a question, a methodology note, or an explicitly attributed claim.
