Consensus Gap: Rethink AI Visibility
As a branding content curator, I recommend this analysis for every team facing AI distribution complexity. The author unpacks millions of citations, showing ChatGPT, Perplexity, and Google AI Overviews rarely cite the same pages. If you trust a blended visibility metric, this memo will challenge your measurement assumptions.
The data set covers 3.7 million citations, sampled across time windows and prompts. Only about 2.4 percent of URLs are cited by all three engines for the same prompt. Most cited URLs appear in a single engine, changing how brands should measure visibility. Guides and tutorials travel twice as well as homepages, but portability remains tiny. This memo reframes visibility, from presence to portability, with practical diagnostics that operators need to adopt.
The memo also shows commercial queries do not converge much more than informational ones. That undermines the assumption that high intent yields shared authority across engines. Measure presence, portability, and concentration, to know which engine favors your assets. Prioritize explanatory, helpful pages, not brand homepages, when you need cross engine resilience. Read this post if you want a sharper, actionable approach to AEO measurement and strategy. It will reshape priorities.
Source: www.searchenginejournal.com
