• AI visibility

Guide · AI search

How do supplement brands win new customers from AI assistants?

By being the brand an assistant can verify when someone asks which product to buy: clear labels, third-party testing, consistent facts and a reputation that holds up on review sites. About a third of US adults now ask AI chatbots about health, and most supplement sales already happen online, so the brands named and trusted in those answers have a direct path to new customers and their monthly refills.

By Underneath Team Guide Updated

This article is about how supplement brands are found and chosen. It is not health advice, and nothing here says any supplement works.

The short version

  1. In KFF’s March 2026 poll (opens in a new tab), 32% of US adults had used AI chatbots for health information or advice in the past year.
  2. Supplements are now mostly an online purchase: NIQ data presented in Nutrition Business Journal’s State of Supplements 2026 found online supplement sales grew 18.7% in a year, against 12.4% for the whole market, and TikTok Shop sales grew 71.1%.
  3. Discovery is shifting: in a SPINS survey in the same deck, 11% of Gen Z and millennial shoppers ranked AI chatbots among their top ways to discover products, while 46% of supplement buyers get information from a health care practitioner.
  4. The market is large and growing: Nutrition Business Journal (opens in a new tab) expects US supplement sales to reach nearly $80 billion in 2026 after 7.1% growth in 2025.
  5. When ChatGPT answers health questions, it leans on institutions: in an audit of 615 cited sources, Jacques and colleagues (opens in a new tab) found 75.7% came from hospitals, government, journals and similar bodies, and 12.4% from commercial health sites.

Who buys supplements now, and what is a customer worth?

Mostly adults who take a product every day, so one new customer can mean a refill every month.

Supplements have moved from occasional purchase to routine. NBJ’s January 2026 survey found 71% of general consumers, not only current buyers, view supplements as essential or important to everyday health, and only one in five sees them as a luxury. Nutrition Business Journal puts the US market on course for nearly $80 billion this year.

Where people buy has changed even faster. In NIQ’s data for the 52 weeks to January 2026:

US vitamins and supplements, dollar growth vs. a year earlier (NIQ)Growth
Total market+12.4%
Online+18.7%
Amazon third-party sellers+25.0%
Amazon first-party+11.1%
TikTok Shop+71.1%

NIQ’s headline was blunt: “Most supplements sales happen online today.” NBJ estimates supplements on TikTok Shop alone were worth around $1 billion in 2025, and NIQ calls supplements the largest category on TikTok Shop.

No public benchmark gives a lifetime value for a supplement customer, and we will not invent one. The mechanism is clear enough: a product taken daily runs out monthly. Our inference is that a brand’s economics depend on whether a first purchase becomes a refill or subscription, and on how cheaply that first purchase was won.

Where do AI assistants sit in a supplement buyer’s research?

Early in the research, alongside practitioners, search engines and social media, for a growing share of buyers.

Health is one of the most common reasons people use AI assistants. When it launched ChatGPT Health in January 2026, OpenAI said (opens in a new tab) that over 230 million people globally ask health and wellness questions on ChatGPT every week. ChatGPT Health can connect to apps such as MyFitnessPal and Instacart, and OpenAI states that it “is not intended for diagnosis or treatment.” That is documented by the platform. Health app makers face the same shift, covered in how digital health apps win users.

KFF’s poll gives the US picture:

  • 32% of adults used AI chatbots for health information in the past year, and 29% for physical health, rivaling social media as a source.
  • 65% of those users cited a desire for quick, immediate information as a major reason.
  • 58% of those who used AI for physical health later followed up with a doctor or other provider.

For supplements specifically, the deck NBJ presented in March 2026 shows AI arriving next to established sources. NBJ’s buyer survey added AI platforms such as ChatGPT and Perplexity as an information source, and a July 2025 SPINS survey of US Gen Z and millennial shoppers found 11% rank AI chatbots among their top discovery methods. Practitioners remain the bigger influence: 46% of supplement buyers get information from one, up significantly from 2024.

What do supplement buyers ask AI assistants about brands?

Questions about which brand, which form, whether it is tested, whether the company is legitimate and where to buy.

The prompts below are illustrative, written by us to show the shape of commercial supplement questions. They are not captured from real users, and they deliberately stop short of health advice.

StageIllustrative prompt
Brand shortlist“Which magnesium glycinate brands are third-party tested?”
Format“Creatine gummies or powder: which brands have the most reviews?”
Certification“Protein powders with NSF Certified for Sport for a college athlete”
Comparison“Compare these two greens powders on price per serving and ingredients”
Legitimacy“Is this supplement brand legit? What do customers say?”
Price and value“Cheaper alternative to my current omega-3 with the same dose”
Where to buy“Is this brand sold on Amazon by the brand itself?”

Buyers bring a checklist to these questions. NBJ’s survey of supplement buyers lists certifications they actively seek, including USP Verified and NSF Certified for Sport, and found “Made in the USA” overtook USDA Organic as the top certification in 2026. Our inference: an assistant answering “which brands are tested” needs to find that proof stated somewhere it can read.

Questions about whether a supplement treats a condition are a different matter. Those belong with clinicians, and OpenAI says its own health product is not meant for diagnosis or treatment. A brand should not try to win those answers. Wellness products face the same limit on claims, as our guide to wellness brands shows.

How does a mention in an AI answer become a customer?

Through a short list, a verification step and an online purchase, usually on Amazon, the brand’s site or TikTok Shop.

  1. Named for a product need. The assistant lists a few brands for “third-party tested magnesium” or “clean protein for runners.”
  2. Verified. The buyer checks certifications, reviews and whether the company is legitimate. In our brand reputation study, 88.0% of AI answers to “Is this brand legit?” cited a review or complaint platform.
  3. Bought online. The purchase lands where supplements now sell: Amazon, the brand’s store or TikTok Shop. Across US retail, Adobe’s data reported by TechCrunch (opens in a new tab) showed visitors arriving from AI sources converted 42% better than other visitors in March 2026. Adobe did not break out supplements.
  4. Refilled. If the buyer stays with the product, the revenue repeats every month, which is where the value of the first recommendation is realized.

Amazon is a gate in step three. Since April 2, 2024, according to NSF’s summary of the policy (opens in a new tab), Amazon requires supplement products to be verified through a third-party testing, inspection and certification organization, and it no longer accepts certificates of analysis directly from sellers. NSF, which sells that testing, also reports consumers would pay 11% more for certified supplements.

What decides which supplement brand an assistant names?

Verifiable evidence about the product and the company; the platforms do not publish the exact rules.

What is documented: OpenAI says (opens in a new tab) ChatGPT’s shopping results are not ads and are selected by ChatGPT. It considers structured product data such as price and description from first- and third-party providers, plus other third-party content, and it summarizes reviews from public websites.

What has been observed:

  • Health answers favor institutions. In the Jacques audit, commercial health platforms earned 12.4% of ChatGPT’s citations. Those that were cited stated a medical review on 71.1% of pages and used schema markup on 86.8%. We cover that study in what commercial health sites cited by ChatGPT have in common.
  • Reputation answers lean on review sites. In our brand reputation study, Trustpilot and the BBB made up 61.7% of review-platform citations, and 99.7% of complete answers raised at least one problem with the brand.
  • Authority language works only until everyone uses it. In skincare tests by Chu and Hou (opens in a new tab), adding clinical-trial-style claims to an otherwise identical product beat a famous brand 73.3% of the time. When all nine challenger brands used the same language, the famous brand won again 93.8% of the time.
  • Lists change between asks. In our consistency study, only 25.2% of the brands ChatGPT named appeared in all five repeats of a question.

The Chu and Hou result is a warning, not a tactic. In supplements, health claims carry legal weight: the Federal Trade Commission (opens in a new tab) says claims about the health benefits or safety of dietary supplements require “competent and reliable scientific evidence,” and the FDA (opens in a new tab) says companies are responsible for evaluating the safety and labeling of their products before marketing. Our inference: the durable trust factors are independent testing, accurate labels, honest reviews, practitioner and editorial coverage, and a clean complaint record.

What does a supplement brand lose when it is missing from AI answers?

It loses first purchases at the research stage, which then become a rival’s monthly refills.

We have no direct measurement of sales lost to AI absence, so we label the reasoning:

  • The buying has moved online. With online sales growing 18.7% and TikTok Shop 71.1% in NIQ’s data, more first purchases begin on a screen where an assistant can be one tap away.
  • Refills compound. A rival chosen after an AI answer is chosen again next month. We infer the cost of a missed recommendation is a stream of orders, not one.
  • A bad description persists. If an assistant cannot find proof of testing or repeats an old complaint, its answer to “Is this brand legit?” carries that forward. For the repair work, read how to fix wrong brand information in AI answers.

How does GEO work for a supplement brand?

Generative engine optimization (GEO) makes your brand easy for AI assistants to find, describe accurately and verify through outside evidence.

For a supplement company, the work usually covers:

  1. One clear identity. Consistent brand, product and ingredient names, forms and doses across your site, Amazon, TikTok Shop and retail listings, so assistants do not mix up products.
  2. Proof stated in text. Certifications, testing partners, where products are made and supplement facts written on the page, not only in images or PDFs. Link to the certifier’s own listing where one exists.
  3. Compliant, useful content. Pages that explain forms, doses on the label, who the product is designed for and how it compares, without disease claims, ideally reviewed by a qualified professional and citing sources.
  4. Review and complaint platforms. Accurate profiles on Trustpilot, the BBB and Amazon, real customer reviews, and complaints resolved in public. Avoid any review tactic the FTC would treat as deceptive; fake reviews also corrupt AI answers.
  5. Independent coverage. Editorial reviews, practitioner mentions, podcast and creator coverage with proper disclosure, and listings with certification programs.
  6. Product data and feeds. Complete catalogs and feeds where assistants read them, since OpenAI documents that it uses structured product data.
  7. Measurement. Ask a fixed set of brand-shortlist, comparison and legitimacy questions across ChatGPT, Gemini, Perplexity and Google’s AI features, repeatedly, and track who is named, what is said and which sources are cited.

None of this guarantees a recommendation, and no honest provider can promise one. It makes your brand the easiest one for an assistant to verify.

What can’t the evidence tell supplement brands yet?

It shows buyers using AI for health research, not how many supplement sales AI answers create.

  • Health research is not purchase research. KFF and OpenAI measure health questions in general. We found no public data on how often people ask assistants which supplement brand to buy.
  • Surveys and vendors. KFF, NBJ and SPINS rely on what people report. NSF sells the testing it recommends, and Adobe sells analytics.
  • No supplement-specific ranking studies. The tests we cite used skincare products and general health questions. Applying them to supplements is our inference.
  • Platform rules can change. Shopping and health features are new, and assistants may treat health products differently from other goods in ways no one outside the platforms can see.

Where should a supplement brand start?

Start by asking the brand, comparison and legitimacy questions your future customers ask, and see what assistants say.

That first check usually shows whether your products are named for the needs you serve, whether your testing and certifications are mentioned, which review sites shape your reputation and which rival brands appear instead. From there, the work is to put your proof where assistants can read it, strengthen your reputation and keep every claim compliant.

If your growth depends on first orders that become refills, ask us for a supplement brand review. We will map where your brand appears in AI answers, why competitors are named instead, and which changes are most likely to bring more qualified buyers to your store and listings. The generative engine optimization service page explains how we handle the rest, including testing proof stated in text, compliant product pages and review platform profiles.

Frequently asked questions

Do people ask ChatGPT about supplements?

Many ask about health in general. OpenAI says over 230 million people ask health and wellness questions on ChatGPT every week, and KFF found 32% of US adults used AI chatbots for health information in the past year.

Can a supplement brand pay to be recommended by ChatGPT?

Not in its shopping results. OpenAI says ChatGPT’s product results are selected independently and are not ads, and that ads are shown separately.

Will strong health claims help a supplement get recommended?

They are a legal risk, and the benefit fades. In one test, clinical-trial-style claims helped while one brand used them, but the famous brand won 93.8% of the time once all challengers copied them.

Does third-party testing matter for AI visibility?

It matters for buyers and marketplaces, and we infer it helps assistants. Amazon has required third-party verification of supplements since April 2024, and buyers in NBJ’s survey actively seek certifications.

Sources

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