Category Intelligence
Health & Supplements
RevvUp Category Intelligence

The State of AI Visibility in Health & Supplements.

How ChatGPT, Claude, Perplexity, and Gemini are reshaping discovery for vitamins, supplements, functional nutrition, and wellness — and which brands are getting recommended, which are getting mentioned, and which are getting routed past.

Abstract
The US dietary supplements category is $68.7 billion and growing at 8.5% annually — and roughly 9.4 million buyer questions per month ("best magnesium for sleep," "is AG1 actually worth it," "Thorne vs Ritual") are now being routed through AI engines rather than Google. The shopper still has the question. Most supplement brands are no longer in the answer. This report measures, for 42 named DTC supplement brands on Shopify, how often they surface when buyers ask, which ones get recommended, and what that gap is worth.
The category at a glance
9.4M
Monthly buyer queries about supplements routed through AI
71%
Of DTC supplement brands audited score below 50 on AI visibility
$12.1B
Estimated category revenue routed to AI-recommended brands
84%
Of supplement buyers now use AI to compare products before purchase
01
The category snapshot

Supplements is the highest-research category in DTC. And AI is now the researcher.

Three things make supplements unique. One: the regulatory and ingredient complexity is brutal — buyers want to know what's clinically proven, what's third-party tested, what's NSF-certified. AI compresses all of that into one answer. Two: trust is the entire purchase decision. Nobody buys a multivitamin on impulse. Three: "lifestyle" brands and "clinical" brands now compete for the same answer — and the structural infrastructure decides which ones AI cites.

AI Visibility Spectrum · category distribution of 42 audited supplement brands
Momentous · 49
Category median · 53
Thorne · 89
Critical
0–20
Poor
21–40
Fair
41–60
Strong
61–80
Dominant
81–100
02
The visibility leaderboard

Who AI recommends. Who AI ignores.

Twelve named Shopify supplement brands, ranked by AI Visibility Score (AVIS) — a 0-100 composite of presence rate, lead-position rate, and citation authority across ChatGPT, Claude, Perplexity, and Gemini. Top of the table is winning AI search. Bottom is losing customers without knowing it. Momentous sits at rank 08 with a score of 49 — below the category median despite elite athlete adoption, NSF certification, and a public Huberman partnership that most brands would kill for.

Rank
Brand
AVIS
Tier
01
Thorne
89
Dominant
02
Ritual
82
Dominant
03
Seed Health
79
Strong
04
AG1 (Athletic Greens)
73
Strong
05
Vital Proteins
68
Strong
06
Liquid IV
61
Strong
07
Huel
56
Fair
08
Momentous
49
Fair
09
HUM Nutrition
42
Fair
10
Bulletproof
37
Poor
11
Obvi
31
Poor
12
Bloom Nutrition
26
Critical

Full leaderboard of all 42 brands and per-platform breakdown available in the supplements category data pack. Methodology in footer.

03
Three patterns we keep seeing

The same three failure modes show up in every supplement brand below the median.

Across 42 audits, the gap between top and bottom comes down to a small number of recurring structural issues. None of them is a marketing problem. All of them are fixable.

01

The third-party testing signal gap

Momentous has NSF Certified for Sport testing on its full product line — one of the strictest certifications in the industry. ChatGPT knows this. When asked "best NSF certified supplements," Momentous is cited at position two. But when the same buyer asks "best supplements backed by clinical research," Momentous drops to position six — behind creatine monohydrate as a category, whey protein as a category, and Thorne as a brand. The certification exists. The structured clinical signal that would move Momentous from "also certified" to "the clinical standard" is not parseable from the PDP.

Where it shows up: AI knows Momentous has NSF certification. It does not understand Momentous as a clinical authority. That difference costs position on every query where buyers are asking about science rather than sport.

Layer 3 · Trust
02

The Huberman halo with no structural foundation

Andrew Huberman publicly partners with Momentous and mentions them by name on one of the most listened-to science podcasts in the world. ChatGPT cites Momentous first when asked "what supplements does Andrew Huberman recommend." That is a genuine win. But when the same buyer asks "best magnesium for sleep and recovery" — a query Momentous products are directly built for — Thorne leads and Momentous is second. The influencer signal gave Momentous awareness. The structured ingredient data that would give them authority on the query itself is missing.

Where it shows up: Podcast-driven brand awareness does not transfer to AI visibility on product-level queries. Magnesium L-threonate crossing the blood-brain barrier is a parseable clinical claim. It needs to be structured data on the PDP, not a podcast talking point.

Layer 2 · Understanding
03

The professional sports adoption gap

Momentous supplies supplements to over 200 professional and collegiate sports programs. ChatGPT is aware of this — when asked "what creatine do NFL teams use" or "what supplement brand do professional sports teams trust most," Momentous appears prominently. But when asked "what supplements are safe for NCAA athletes," Momentous drops to position three behind Thorne and NSF Certified for Sport as a category. The professional adoption is real and documented. The structured entity signal that would make AI understand Momentous as the institutional standard — not one of several options — is not wired correctly across their digital presence.

Where it shows up: 200+ professional and collegiate program partnerships is an extraordinary credential. AI is citing it as context rather than as a category-defining authority signal. That is a fixable infrastructure problem, not a brand problem.

Layer 3 · Trust
04
The lifestyle-vs-clinical collision

Lifestyle brands won TikTok. Clinical brands are winning AI.

The category split that defined supplements marketing from 2018-2024 is reversing. The lifestyle playbook — TikTok creators, founder storytelling, influencer seeding, aesthetic packaging — built brands like Bloom Nutrition, Obvi, and AG1 into category leaders. But the AI infrastructure rewards a different set of signals. And the brands that have it are winning twice: in legacy retail, in healthcare practitioner channels, and now in AI search.

→ The pattern that matters most for performance supplement brands right now

Momentous is the most athlete-endorsed supplement brand in our audit — and it is still losing to Thorne on clinical queries. That's the gap.

Momentous has Andrew Huberman. They have 200+ professional and collegiate sports programs. They have NSF Certified for Sport across their full line. By every brand signal that matters in human performance circles, Momentous is winning. But Thorne has structured ingredient data, parseable clinical references, and a practitioner-trust entity signal that compounds across every query that matters at the moment of purchase. Thorne's PDPs aren't exciting. Their social presence is minimal. What they have is the boring infrastructure that AI engines rank on.

This isn't a story about Thorne winning. It's a story about Momentous being structurally invisible on the queries that convert — and donating that share to a brand they outperform in every room where humans are paying attention.

Three real query receipts

"Best magnesium supplement for sleep and recovery?"
ChatGPT 4o
What ChatGPT said → Cited Thorne Magnesium Bisglycinate first ("one of the strongest overall magnesium supplements for sleep and recovery")
→ Then Momentous Magnesium Threonate at position two — noted for sleep optimization and Huberman visibility
Momentous cited second despite their magnesium threonate being the product most associated with Huberman's sleep protocol — Thorne leads because its glycinate form is understood as clinically superior for nervous system support
Second position — brand awareness without clinical authority
"Best NSF certified supplements for serious athletes?"
ChatGPT 4o
What ChatGPT said → Cited Thorne first ("probably the strongest overall NSF Certified for Sport brand")
→ Then Momentous at position two — "one of the most visible NSF certified brands in professional sports"
Momentous has arguably stronger sports program adoption than Thorne — yet Thorne is cited first. The delta is practitioner trust and clinical entity signal, not certification level.
Second position — adoption without institutional authority
"What supplement brand do professional sports teams trust most?"
ChatGPT 4o
What ChatGPT said → Cited Thorne first ("most consistently trusted overall supplement brand across professional sports")
Momentous cited second despite documented partnerships with 200+ professional and collegiate programs
→ This is the query Momentous should own. Their actual sports adoption exceeds Thorne's. AI's answer does not reflect that reality — because the structured entity signal that would confirm it is not in place.
Should be first — structural gap costs the top position
05
The category math

What the gap is worth, in dollars.

The US dietary supplements market is $68.7B and growing at 8.5% annually (Grand View Research). Online discovery now drives roughly 47% of new-customer acquisition in the category. Of that online discovery, ~38% now starts and ends inside an AI engine — higher than any other CPG category because supplement buyers research obsessively before they buy.

Total category revenue routed by AI
$12.1B
Estimated. Roughly $12.1B in US supplement sales are being directed by ChatGPT, Claude, Perplexity, and Gemini answers annually — and that figure projects to $31B within two years if current growth holds.

For an individual brand, the per-brand gap ranges from $380K (small DTC, $5M revenue) to $5.8M (mid-market, $50M+ revenue) annually, depending on category presence and conversion rate from AI mentions. The brands at the top of the leaderboard are capturing this share now. The brands at the bottom are donating it to clinical-positioned competitors that built the infrastructure first.

06
What separates them

The top three brands do five things. The bottom three do almost none of them.

Same category. Same buyer. Different infrastructure. The gap between Thorne (89) and Momentous (49) is not reputation — Momentous has more athlete endorsements, more professional sports partnerships, and a more visible public presence. The gap is structural choices on five specific dimensions that AI engines read at query time.

Dimension
Top 3 (Thorne, Ritual, Seed Health)
Bottom 3 (Bulletproof, Obvi, Bloom Nutrition)
Ingredient transparency
Dosage, form (glycinate vs citrate vs oxide), and bioavailability notes in HTML, not images. AI can extract and reason about formulation.
Active ingredients trapped in PDP images or styled accordions. AI cannot parse — falls back to clinical alternatives.
Third-party testing signals
NSF Certified for Sport, USP Verified, or third-party assay badges as parseable HTML with link-out to certification source.
Testing claims live in marketing copy or image overlays. AI can't verify or surface the claim when buyers ask "is this safe?"
Clinical authority
Clinical trial references, peer-reviewed citations, and practitioner partnerships cross-linked from PDPs.
Brand-voice copy and creator endorsements. No clinical signal AI can parse for "doctor-recommended" queries.
Category ownership
Owns 3-5 named ingredients or stack benefits in AI training data. Cited as the canonical source.
Created the category visually. AI cites them as a comparison, then routes buyers to the structured alternative.
Cross-channel entity
Recognized by Google, Examine.com, Wikipedia, Amazon, and Reddit as the same canonical brand. Entity signal compounds.
Inconsistent entity signals across platforms. AI can't confirm whether this is a clinical brand or a TikTok brand.
07
The recovery framework

How brands close this gap. In that order.

We apply the same four-step framework to every brand we audit. Score first. Audit second. Fix third. Measure to verify. Each step has specific outputs.

01 · Score
Baseline visibility
AVIS score across all major AI engines. Lead-position rate vs presence rate. Per-SKU breakdown. This is the diagnostic snapshot.
02 · Audit
Diagnose the layers
16 fix types across crawlability, understanding, and trust. Each finding ranked by revenue impact ÷ effort. No vanity findings.
03 · Fix
Ship the queue
Schema, entity, llms.txt, structured ingredient panels, testing certifications, clinical cross-references — pushed live where the platform allows native write-back.
04 · Measure
Verify the lift
Re-run AVIS at 30, 60, and 90 days. Confirm AI now recommends what it previously missed. Iterate on remaining gaps.
What happens next

The RevvUp Design Partner Program is opening 10 spots.

We're selecting 10 health & supplement brands to work alongside us for 6 months as design partners. Six months of full platform access, free. Direct input into the product roadmap. Founding partner positioning in our case studies and category reports.

In exchange we ask for: 30 minutes biweekly, willingness to ship fixes we recommend, and permission to cite results in our research. Applications reviewed on a rolling basis. Spots filled by fit, not first-come.

Not ready to commit? Run a free AI visibility audit on your brand. Same methodology as this report. Delivered in 5 business days. Request your free audit →

Audits are run by our platform. Walkthroughs are done by founders, one at a time.
Methodology
& data sources

Sample. 42 named DTC supplement brands tested across 187 buyer queries on ChatGPT 4o, Claude 3.5 Sonnet, Perplexity, and Gemini. All audited brands run on Shopify and fall in the $1M–$1B revenue range. Queries sourced from observed category search volume (Similarweb, Google query expansion, Examine.com query patterns) and validated against supplement community activity (Reddit r/Supplements, r/Nootropics, podcast episode topics from Huberman Lab and Tim Ferriss).

AVIS scoring. Composite 0-100 score weighted: 50% presence rate (named in any answer), 30% lead-position rate (first-named), 20% citation authority (own pages used as sources). Tier thresholds: Critical 0-20, Poor 21-40, Fair 41-60, Strong 61-80, Dominant 81-100.

Category sizing. US dietary supplements market baseline: $68.7B (Grand View Research, US Dietary Supplements Market Overview). Category CAGR: 8.5% through 2033 (Grand View Research). Online discovery share: 47% (Statista DTC Wellness Report). AI-routed share within online discovery: 38% (RevvUp proprietary measurement across 42-brand panel). Resulting category-level AI-routed revenue estimate: $12.1B annually, projected to $31B within two years at observed 56% CAGR for AI-routed traffic.

Confidence. Directional. Not accounting-grade. Brand-level scores are honest about what we tested and what we didn't. Full per-brand audit available on request.