AI visibility sector research
We ask the AI engines the questions real buyers ask, thousands of times, and publish what comes back: who gets named, where the engines disagree, and which sources they cite.
Citations publishes point-in-time studies of how brands are represented, recommended and cited in AI-generated answers. Each edition analyses thousands of answers to the questions buyers actually ask, and reports what the assistants said in aggregate. We publish the measured picture, never the answers themselves.
UK Legal AI Visibility Study 2026
How AI assistants name, recommend and cite UK law firms when people ask for legal help. A point-in-time study of thousands of AI answers.
Beauty & Skincare AI Visibility Study 2026
Which beauty and skincare brands AI assistants name and recommend when shoppers ask what to buy. A point-in-time study of thousands of AI answers.
How we measure
Sampled AI visibility is the share of analysed answers in which a brand was named. Recommendation rate is the share of those appearances where the brand was actively recommended. Per-engine figures use that engine's own analysed answers as the denominator, and every figure carries a confidence label based on sample size. Directories, regulators and publishers are reported separately from operating brands.
The first sector report is being prepared. Check back shortly.
