Artificial Intelligence is Transforming How We Choose Beverages
Dr. Shahidul Islam
For decades, the essential recipe for commercial success in the global beverage sector remained consistent and predictable. Businesses engaged in aggressive consumer marketing, established vast distribution networks, secured prime shelf space, sponsored big sporting events, and spent enormous sums of money on traditional advertising. Whether a carbonated soft drink, fruit juice, bottled water, or energy drink was being introduced, physical retail exposure, strong branding, and a high level of customer mindshare across retail channels were all necessary for market supremacy.
However, the current global food and beverage market is undergoing a profound transformation. Simple search enquiries and in-store grocery browsing are becoming less common among consumers. Rather, they rely on conversational AI systems for personalised suggestions, such as ChatGPT, Google Gemini, Claude, Microsoft Copilot, and Perplexity. Modern customers have specific enquiries like, ‘What is the healthiest energy drink?’, ‘Which beverage is best for good health?’, and ‘What is an ideal low-sugar collagen drink?’. Beverage businesses are being forced to change their strategy from competing just for human attention to optimising for AI recommendation engines as AI platforms have developed into reliable personal advisers.
A key finding from recent market research on conversational AI platforms’ recommendations for functional beverage brands is that AI systems do not make product recommendations just based on market dominance or overall sales volume. AI, on the other hand, gives preference to companies that uphold comprehensive, consistent, scientifically based, and organised data across digital platforms. Clarity and thorough data are more important to AI than conventional brand appeal. Transparent ingredient breakdowns, clear formulation intent, verified nutritional facts, peer-reviewed scientific citations, instructional articles, third-party news coverage, expert endorsements, and consistent brand messaging across digital touchpoints are important indicators that improve a brand’s AI credibility.
There is a noticeable change in the search intent of consumers worldwide at the same time as this technical advancement. Basic product categories such as ‘energy drink’ or ‘soft drink’ were the focus of previous search enquiries. Consumers today look for specific functional goals, including ‘good health soda’, ‘daily wellness drink’, ‘high-protein beverage’, or ‘beauty drink’. AI algorithms analyse these stated objectives to map out the best brand suggestions for individual users as modern customers look for personalised answers to their nutritional, lifestyle, and health concerns.
As a consequence, functional beverage companies including Celsius, Olipop, Poppi, AG1, Liquid Death, Gatorade, and Prime are highly ranked on the AI Visibility Index. Despite catering to distinct market niches, each of these firms has a clear, distinct online brand identity. Instead of marketing itself as an energy drink, Celsius presents itself as a functional beverage focused on fitness. Poppi and Olipop market themselves as healthy substitutes for traditional soda. Liquid Death uses aggressive narrative to set itself apart from its water line, Gatorade maintains its position as the industry leader in sports electrolyte hydration, and AG1 leads the daily fundamental health area. These companies are successful because they match the story of their products with certain customer problems.
Importantly, prioritising AI is not a given for well-established industrial giants. AI often suggests Celsius when users search for ‘healthy energy drinks’, even though established brands like Red Bull control the majority of the worldwide market share. Over many years, Celsius consciously developed a digital presence based on functional advantages, active nutrition, and exercise. Semantic relevance and context alignment are given precedence over sheer market domination by AI algorithms, which greatly favour companies that directly address the consumer’s explicit query.
In developed international beverage markets, this tendency is already widely recognised. Over the past ten years, demand for protein drinks, kombucha, zero-sugar beverages, and functional electrolyte solutions has increased in the UK. Beverage innovation involving probiotics, vitamins, botanical extracts, collagen, and plant-based ingredients has surged throughout Europe due to rising interest in gut microbiology, longevity, healthy ageing, and preventative healthcare. Enhanced waters and nutrient-rich functional beverages are growing quickly in Canada. As a result, food and beverage businesses in these areas are creating vast digital knowledge banks, viewing store documentation, clinical research, expert opinion, and product specifications as essential brand assets that directly feed AI recommendation pipelines.
The functional beverage industry is still in its early stages in developing nations like Bangladesh, where bottled water, carbonated soft drinks, and conventional juices predominate. However, consumer knowledge of functional nutrition and preventive healthcare is changing due to rapid urbanisation, more disposable income, growing fitness culture, and widespread internet access. For forward-thinking businesses, products infused with proteins, vitamins, probiotics, collagen, or electrolytes provide significant growth potential.
Local beverage businesses need to swiftly adjust to digital changes in order to thrive in this changing industry. In addition to product taste, distribution, packaging, and conventional promotion, firms need to create thorough, dependable, and organised digital footprints. A product that an AI model cannot evaluate or confirm cannot be recommended. For instance, traditional marketing tactics are insufficient to introduce a collagen drink in Bangladesh. When customers query AI platforms for ‘skin-nourishing drinks in Bangladesh’ or ‘vitamin C-infused collagen beverages’, AI looks up information from news sources, manufacturer websites, scientific publications, and online listings. AI-driven customer recommendations in the contemporary marketplace will be dominated by brands that offer clear, accurate, and scientifically supported product data.
Author: Food Scientist, UK Resident
