Supplement decisions get made in AI conversations.
Sleep, energy, hormones, longevity, prenatal, protein, recovery. When buyers ask AI about supplements, it names brands and ingredients. Aethon makes sure your supplements are in the conversation.
The conversations driving demand in Supplements & Vitamins.
Every sub-vertical has a handful of triggers that move AI from context to recommendation. Here’s the Supplements & Vitamins starter set, tuned to your specific business in onboarding.
“I keep waking up at 3am and can’t fall back asleep. Magnesium, melatonin, or something else?”
- Magnesium glycinate
- L-theanine
- Sleep blends
- Dose guidance
“I’m crashing every afternoon. Caffeine just makes me jittery. Is there something that actually works?”
- L-theanine + caffeine
- Adaptogens
- Mushroom blends
- B-vitamin support
“I’m 44 and my hormones are completely out of whack. What supplements actually help with perimenopause symptoms?”
- DIM
- Magnesium
- Inositol
- Evening primrose oil
“I’ve been reading about NMN and NR. Are they actually worth it or is it Bryan Johnson hype?”
- NMN vs NR
- Resveratrol
- CoQ10
- Spermidine
Where Supplements & Vitamins recommendations are formed.
These are the publications, communities, and platforms that disproportionately shape how AI names brands in your sub-vertical. The action queue is built to land you here.
Concrete deliverables for Supplements & Vitamins teams.
Onboarding is fast because the work is concrete. Here’s what lands in your workspace in the first 30 days.
Supplement moment library
Sleep, energy, hormone, longevity, prenatal, recovery, and stack-building moment patterns mapped to your product line and persona mix.
Live AI share-of-recommendation
Track your brand and named competitors across ChatGPT, Claude, Gemini, and Perplexity. Per-ingredient and per-stack splits.
Source-authority gap report
Where AI cites supplement recommendations, and which platforms and communities to land in first.
Consumer action queue
Protocol content, ingredient explainers, third-party-testing positioning, and review-platform activation.
Supplements & Vitamins questions, answered
How does AI handle FDA structure/function-claim restrictions?
AI surfaces unbranded efficacy discussion and named-brand recommendations in the same answer. Brands that publish education-grade content win the recommendation step without making restricted claims.
What about the Huberman / Attia effect on AI recommendations?
Huge. Long-form creator protocols (Huberman, Attia, Saladino, others) feed AI training data and shape brand recommendation strongly. Brands cited by these creators win disproportionately.
How important is third-party testing (Labdoor, NSF, ConsumerLab)?
Very. AI cites third-party-tested brands disproportionately when consumers ask about purity and dose accuracy.
Can we track per-ingredient performance?
Yes. NMN, magnesium glycinate, ashwagandha, and other ingredients each get their own moment library and recommendation tracking.
What about prescription-adjacent supplements (peptides, etc.)?
Peptides, NAD precursors, and other clinical-adjacent supplements have a distinct moment set with their own source library (clinical research, biohacker forums). We build it separately.
How does AI handle multivitamin vs targeted-stack questions?
AI surfaces both clearly. Targeted stacks win consumer mindshare; multivitamins are surfaced for ‘just-the-basics’ moments. We help you position for both.
More across this industry.
Other specialties and deep-dives in this category.
See where your brand stands in Supplements & Vitamins AI conversations.
Drop your domain. We’ll run your brand against the Supplements & Vitamins moment library, show you where AI is naming you, where competitors are landing instead, and the three highest-leverage actions to fix it.