This is the most consequential number Crackle PR has published, and it works against the tidy story a benchmark publisher would prefer to tell. Ask four answer engines the same commercial question and they largely return different companies.

Low cross-engine agreement means single-engine visibility reporting is close to meaningless. A vendor screenshotting one favorable ChatGPT answer is showing you a sample of one from a system that disagrees with its peers roughly four times out of five.

It also sets the honest resolution limit of any AI visibility measurement. Scores are reported per engine, not per query: each per-engine cell pools all 25 queries at five runs each for 125 scored answers from the Q4 2026 edition, giving a ±9 percentage point binomial band at 95% confidence for a mid-range proportion. That band assumes 125 independent answers, which five runs of the same question are not, so from methodology v1.9 it is published as a floor and the interval that governs ties and ranks is a cluster bootstrap over the 25 questions. Crackle PR reports differences inside the published interval as ties rather than ranks, and publishes the observed run range for every score.