The burgeoning landscape of Artificial Intelligence (AI), particularly Large Language Models (LLMs), is dramatically reshaping the e-commerce sector, presenting both unprecedented opportunities and significant challenges for new businesses. In a recent interview, Kenny Trusnik, founder of the digital marketing agency Forest City Digital, shared his strategic insights on how e-commerce startups can effectively attract customers in this rapidly evolving environment. Trusnik’s core advice centers on the meticulous organization and enrichment of product data, emphasizing its critical role in enhancing visibility within AI-powered search and recommendation systems.
Founded in 2020, Forest City Digital emerged from Trusnik’s desire to bridge the gap between marketing efforts and tangible business objectives. His prior experience at established corporations like Toyota and Sherwin-Williams, followed by a stint at a startup focused on content creator monetization, instilled in him a results-oriented approach. This philosophy is now the bedrock of his agency, which prioritizes aligning marketing strategies with the specific goals of its clients. "How do we tie marketing to what our clients are trying to accomplish?" Trusnik stated, encapsulating the agency’s fundamental question.
Core Marketing Channels in the AI Era
Forest City Digital primarily focuses on three key areas: search, social media, and customer retention. Within the search domain, this encompasses traditional organic search engine optimization (SEO) on platforms like Google and Bing, but critically, it now extends to "AI visibility." This new frontier involves optimizing product listings and website content to be discoverable and favorably ranked by LLMs.
"We’re seeing good traction from LLMs for many clients – upwards of 10% of online revenue," Trusnik revealed, highlighting the immediate commercial impact of AI integration. This revenue stream is being cultivated through extensive backend metadata work, particularly for clients utilizing Shopify’s Agentic Storefronts, as well as for specialized sectors like aftermarket automotive parts and brands with complex product specifications. The principle is straightforward: the richer and more structured the product data, the greater its potential for AI-driven discovery.
For e-commerce merchants, a foundational step involves ensuring that their website’s robots.txt file is configured not to block crawlers from leading generative AI platforms. This technical adjustment is crucial for allowing AI models to access and process product information, thereby increasing the likelihood of those products being recommended to consumers.
Social media efforts at Forest City Digital involve managing both influencer marketing campaigns and paid advertising channels. The retention strategy, on the other hand, leverages email marketing platforms such as Klaviyo and Brevo to address gaps in clients’ sales funnels, ensuring continued engagement and repeat purchases. Beyond these core services, the agency also offers fractional e-commerce and marketing strategy consulting, providing expert guidance to businesses seeking to optimize their online operations.
The Rise of Agentic Storefronts and Structured Data
A significant development in the e-commerce AI landscape is Shopify’s introduction of Agentic Storefronts earlier this year. This innovative tool acts as a bridge, exposing a merchant’s product catalog to prominent LLMs, including ChatGPT, Claude, and Gemini. The functionality is akin to syncing product feeds with Google Merchant Center or Meta Commerce accounts, but with a distinct focus on enabling AI-driven discovery.
Agentic Storefronts renders merchant data accessible and "crawlable" by LLMs. All standard Shopify product fields – encompassing details like categories, colors, sizes, features, and materials – become visible to these advanced AI crawlers. The ultimate objective is for generative AI platforms to proactively recommend a merchant’s products when shoppers query for specific features or characteristics.
The importance of structured data, such as Schema.org markup, cannot be overstated in this context. This semantic markup helps search engines and AI algorithms to not only understand a website’s content but also the intrinsic nature and purpose of its products. By providing a clear, machine-readable format, structured data significantly enhances a site’s discoverability and relevance in AI-driven search results.
Strategic Pillars for E-commerce Startups in 2026
Looking ahead to a hypothetical e-commerce startup launching in 2026, Trusnik outlined a strategic blueprint centered on proactive data management and targeted visibility efforts. His primary recommendation remains consistent: "Focus on getting the product data as deep and clean as possible in a structured environment." For Shopify users, this translates to actively opting into Agentic Storefronts.
Beyond robust data, Trusnik advises seeking out opportunities for backlinks within reputable listicles or "best-of" articles. These placements serve as powerful signals to LLMs, indicating the quality and desirability of a product or brand. For startups with limited resources, a dual focus on meticulously structured product data and securing links from authoritative curated content represents a high-impact, cost-effective strategy.
For those with greater financial capacity, Trusnik suggests investing in paid advertising, such as Meta ads, to build essential top-of-funnel awareness. He also stressed the enduring value of original content. "Content – articles, videos, social posts – helps if it contains original info unavailable elsewhere, unlike AI-generated content, which is, by definition, repurposed," he noted. This distinction emphasizes the need for unique value propositions and authentic brand narratives to cut through the increasing volume of AI-generated content.
Furthermore, Trusnik invoked the concepts of "blue oceans" and "red oceans" to underscore the importance of market differentiation. A product must either be novel and address an unmet need or offer a distinct advantage within an existing market. This strategic thinking is crucial for carving out a sustainable niche in a competitive e-commerce landscape.
Iterative Innovation and Market Niches
The concept of "novelty" in product development, Trusnik elaborated, doesn’t always necessitate radical invention. He cited the example of Grüns gummies, a brand that entered a crowded market of gummy vitamins by introducing a significantly expanded ingredient list and positioning their product as a "superfood" rather than merely a supplement. This iterative approach to innovation, focusing on enhanced features and refined positioning, is often more accessible and successful for emerging entrepreneurs.
"Yes, don’t get too novel," Trusnik agreed, drawing a parallel with his work in the hemp beverage sector. This burgeoning market has seen explosive growth as an alternative to alcoholic beverages. While still rooted in hemp, the novelty lies in its functional replacement of alcohol in social contexts. This illustrates how a subtle yet significant shift in application or positioning can create a substantial market advantage.
Connecting with Forest City Digital
For those interested in delving deeper into these strategies or seeking expert consultation, Kenny Trusnik and Forest City Digital can be reached through their website, ForestCityDigital.com. Trusnik also actively engages on LinkedIn, welcoming discussions on all facets of e-commerce. His consistent availability and willingness to share insights underscore the collaborative spirit needed to navigate the dynamic e-commerce ecosystem in the age of AI.
The implications of AI integration in e-commerce are profound. Beyond search and recommendations, LLMs are poised to revolutionize customer service, personalize marketing messages, and even assist in product development by analyzing consumer trends. For e-commerce startups, the ability to adapt to these technological shifts, prioritize data integrity, and craft compelling, unique value propositions will be paramount to achieving sustainable growth and customer acquisition in the coming years. The foundational principle, as articulated by Trusnik, remains: a deep understanding and meticulous organization of product data is no longer just good practice; it is a prerequisite for survival and success in the AI-driven marketplace.
