At a recent presentation for the National Animal Supplement Council, I spoke about what I believe is one of the biggest shifts currently happening in digital marketing for the health and wellness industry: the supplement discovery funnel is changing.

For years, the process was fairly predictable. Consumers searched Google for information about symptoms, ingredients, or health goals, reviewed a list of websites, compared brands, and eventually made a purchase decision. Most digital marketing strategies were built around this behavior. If a company ranked well in search results and created enough educational content, there was a strong chance consumers would eventually find their way to the website.

That process is beginning to evolve.

Consumers are increasingly using AI platforms such as OpenAI ChatGPT, Google Gemini, and Perplexity AI Perplexity to ask health and wellness questions directly, often before they ever perform a traditional Google search or visit a supplement brand’s website. Instead of sorting through pages of search results, they are asking conversational questions and receiving summarized answers in return.

Questions like:

“What supplements help support sleep?”

“What is the best magnesium for stress?”

“What does berberine do?”

“What does Dr. Daniel Amen recommend for brain health?”

This may sound like a subtle shift, but it has significant implications for how supplement brands are discovered online.

Traditional search engines were designed to present options. AI platforms are designed to interpret information and provide recommendations. In many cases, consumers are forming opinions about ingredients, brands, and product categories directly from AI-generated responses before they ever click on a website.

As a result, brands are no longer competing only for rankings. They are competing to become part of the answer itself.

What Is the New Supplement Discovery Funnel?

The new supplement discovery funnel refers to the growing shift from traditional search-based discovery to AI-assisted recommendation and interpretation. Instead of consumers comparing a list of websites themselves, AI platforms are increasingly shaping which ingredients, brands, and products are introduced during the earliest stages of research.

This is particularly important for the supplement industry because discovery often begins with educational questions related to symptoms, wellness goals, ingredient benefits, or practitioner recommendations. Consumers researching sleep support, gut health, cognitive performance, metabolic health, or healthy aging are increasingly receiving AI-generated summaries before interacting directly with a brand.

This is the new supplement discovery funnel, and many companies are still optimizing for the old one.

Why AI Visibility Is Different from Traditional SEO

What makes this shift particularly important for the supplement industry is that many brands are still building digital strategies around traditional search behavior alone. In reality, AI platforms are now influencing consumer perception much earlier in the decision-making process.

That does not mean traditional SEO is dead. Far from it. Google still matters tremendously, and search traffic remains highly valuable. However, the way information is being surfaced, interpreted, and summarized is changing quickly.

Companies now need to think beyond rankings alone and start evaluating whether AI systems can actually understand their expertise, products, and authority.

One of the biggest misconceptions I continue to see is the assumption that publishing more content automatically improves visibility. In many cases, brands have spent years producing large volumes of blog articles that repeat similar themes without building real topical authority. AI systems are becoming increasingly sophisticated at identifying depth, consistency, and credibility. A smaller library of focused, high-quality content will often outperform hundreds of shallow articles covering loosely related topics.

The same issue exists on many product pages. Historically, product pages were designed primarily for e-commerce conversions. They included product images, supplement facts, short descriptions, and perhaps a few reviews. While that may support transactions, it often does not provide enough contextual information for AI systems to fully understand the product’s purpose, differentiators, scientific background, or ideal use cases.

This is where many brands are currently missing an opportunity.

AI systems respond well to content that clearly explains:

• what the ingredient does
• who it is designed for
• how it works
• supporting scientific context
• expert associations
• common consumer questions
• related health goals
• differences between ingredient forms
• safety or usage considerations

In many ways, companies need to start thinking less like search marketers and more like educators.

The brands that are most likely to succeed in AI-driven discovery are the ones creating complete, trustworthy, and consistent informational ecosystems around their products and ingredients.

Why Expert Association Matters

One pattern I am seeing repeatedly involves practitioner brands and scientifically credible companies that have strong real-world authority but weak digital association signals.

For example, a consumer asking AI about brain health support may receive recommendations associated with a well-known expert, physician, or educator, even if the expert’s supplement brand itself is only weakly connected digitally to that authority. In other words, the person may have strong visibility, while the associated products remain underrepresented in AI-generated responses.

This is becoming increasingly important for practitioner brands, ingredient suppliers, and clinically validated supplement companies. AI systems are attempting to connect entities, expertise, products, educational content, and public authority signals. When those relationships are fragmented or inconsistent online, visibility opportunities are often lost.

What Supplement Brands Should Do Next

The supplement industry has always adapted to changes in consumer behavior, and this is simply the next evolution of digital discovery. Companies that succeed will not necessarily be the ones producing the most content or chasing the latest AI tools. They will be the companies that communicate expertise clearly, build trust consistently, and make it easy for both consumers and AI systems to understand who they are and why they matter.

So, what should supplement and ingredient companies be doing right now?

First, evaluate your website through the lens of clarity rather than keywords alone. Ask whether your content actually helps AI systems understand your expertise and authority within a topic area.

Second, strengthen educational content around ingredients and formulations. Many companies have excellent science but fail to translate that science into content that is understandable, connected, and easily interpreted outside of scientific circles.

Third, review product pages carefully. Product pages should not function as simple catalog entries. They should help explain the “why” behind the product, not just the “what.”

Fourth, ensure that expert voices are consistently connected to the brand. Brands should make practitioner relationships, scientific leadership, and formulation expertise far more visible and consistent across digital channels.

Finally, companies should begin monitoring AI visibility directly, not just traditional rankings. Ask platforms like ChatGPT, Gemini, and Perplexity questions relevant to your category and evaluate which brands appear consistently in responses. In many cases, the results are surprising.

Key Takeaways for Supplement Brands

• AI is influencing supplement discovery earlier in the consumer journey
• Rankings alone no longer guarantee visibility within AI-generated responses
• Educational depth and topical authority matter more than content volume
• Product pages need stronger scientific and contextual information
• Expert associations should be clearly connected to supplement brands
• Ingredient suppliers and practitioner brands have significant opportunities to become trusted AI sources
• Companies should begin monitoring AI visibility directly across major AI platforms

Because in this new discovery funnel, visibility is no longer just about being found. It is about being understood.