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Most of the health and beauty brands we measured barely show up in AI recommendations.
In our Q2 2026 study of 110 beauty and health brands, the median brand scored 8.3 out of 100 on our AI Shortlist Score: how often four AI assistants named the brand when asked buying questions in its category.
Shoppers ask AI which serum or supplement to trust.
The answer names a few brands. Most brands in our study were barely in it.
82 of 110 scored under 25 out of 100, and 31 scored zero.
Health brands had it hardest: a median of 3.8, against 11.1 for beauty.
One question per team. One product per question.
When someone asks AI which product to buy, are we the first pick?
Measure your Recommendation Rate (Top), how often AI names your brand first on buying questions, see which competitor wins each one, and identify what to address next.
See Modern Discovery →/0.3Modern FrictionWhich customers experienced friction, and how much repeat revenue is at risk?
See subscription, checkout, delivery and returns friction Customer 1 to 1, ranked by revenue at risk. The DE partner anonymizes Customer 1 to 1 data inside the client environment and delivers it to Modern AI's Friction environment.
See Modern Friction →/0.2Modern GravityWhich products and channels actually drive margin?
Certified answers on revenue, margin and repeat purchase, calculated from the definitions your team approved, with the sources shown.
See Modern Gravity →/0.4Modern FoundationIs our data ready for AI to answer these questions?
A Foundation Diagnostic finds the gaps in definitions, data and ownership underneath your AI, and leaves you with a plan your teams can operate.
See Modern Foundation →
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82 of 110 brands scored under 25 out of 100.
Q2 2026 study: 55 beauty and 55 health brands, four AI assistants (ChatGPT, Claude, Gemini, Perplexity), measured May 2026.