The rapid evolution of Artificial Intelligence (AI) presents both unprecedented opportunities and significant challenges for e-commerce startups. Kenny Trusnik, founder of Forest City Digital, a Cleveland-based marketing agency, emphasizes a fundamental strategy for new ventures seeking to capture customer attention in this dynamic landscape: "Focus on getting the product data as deep and clean as possible in a structured environment." This foundational principle, Trusnik explained in a recent interview, is crucial for maximizing visibility and driving customer acquisition, particularly as Large Language Models (LLMs) and AI-powered search become increasingly influential in consumer decision-making.
Trusnik, whose agency launched in 2020, brings a pragmatic approach honed by his prior experience in corporate environments at industry giants like Toyota and Sherwin-Williams, followed by a stint at a startup focused on helping content creators monetize their online presence through e-commerce. "One thing I appreciated as a corporate employee was working toward real goals, regardless of the agencies involved," Trusnik stated. "I brought that approach to my agency: How do we tie marketing to what our clients are trying to accomplish?" This client-centric philosophy underpins Forest City Digital’s focus on tangible business outcomes, a critical differentiator in a crowded marketing services sector.
Core Marketing Channels in the AI Era
Forest City Digital strategically concentrates its efforts on three primary marketing channels: search, social, and retention. Within the search domain, this encompasses traditional organic search engine optimization (SEO) on platforms like Google and Bing, alongside a burgeoning focus on "AI visibility." This latter aspect is rapidly gaining prominence as LLMs become integral to how consumers discover and interact with products online.
"We’re seeing good traction from LLMs for many clients – upwards of 10% of online revenue," Trusnik reported. This significant contribution highlights the immediate impact of AI-driven discovery. To capitalize on this, the agency engages in extensive "metadata backend work" with clients, particularly those utilizing platforms like Shopify’s Agentic Storefronts and brands with complex, specification-intensive product catalogs, such as in the aftermarket automotive sector. The underlying premise is that richer, more organized product data directly translates to enhanced visibility within AI search environments.
For merchants, a critical initial step is to ensure their website’s robots.txt file is configured to permit crawling by leading generative AI platforms. This seemingly technical detail is paramount, as it dictates whether AI models can access and process a brand’s product information for inclusion in their recommendations and search results.
The social media strategy at Forest City Digital involves a dual approach: managing influencer programs to leverage authentic endorsements and executing paid advertising campaigns to reach broader audiences. On the retention front, the agency utilizes robust email marketing platforms like Klaviyo and Brevo. These tools are employed to meticulously "plug holes" in clients’ sales funnels, nurturing leads, re-engaging past customers, and ultimately driving repeat purchases. Beyond these core operational areas, Forest City Digital 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 shaping the e-commerce landscape is Shopify’s introduction of Agentic Storefronts earlier this year. This innovative tool acts as a conduit, exposing a merchant’s product catalog to prominent LLMs, including ChatGPT, Claude, and Gemini. Trusnik likens this functionality to syncing product feeds with Google Merchant Center or Meta Commerce accounts, but with a crucial difference: Agentic Storefronts enables AI models to directly access and crawl product data in a highly granular fashion.
"All Shopify product fields are now visible to LLM crawlers," Trusnik explained. This encompasses detailed attributes such as categories, colors, sizes, specific features, and materials. The objective is to empower generative AI platforms to proactively recommend a merchant’s products when shoppers express interest in those particular characteristics or benefits. For instance, if a user asks an AI assistant for "durable, waterproof hiking boots under $150," an e-commerce store with well-structured product data exposed via Agentic Storefronts would be more likely to be surfaced as a recommendation.
The importance of structured data, such as Schema.org markup, cannot be overstated in this context. This semantic vocabulary provides search engines and AI algorithms with a standardized way to understand a website’s content, its products, and its overall purpose. By making data more machine-readable, structured markup significantly enhances a site’s discoverability and its ability to be accurately interpreted by AI systems.
Strategic Blueprint for a 2026 E-commerce Startup
When envisioning the launch of a new e-commerce company in 2026, Trusnik’s strategic blueprint remains anchored in his core philosophy: "I would focus on getting the product data as deep and clean as possible in a structured environment." For Shopify merchants, this translates to opting into Agentic Storefronts.
Beyond foundational data hygiene, Trusnik advises a targeted approach to link acquisition. "I would try to acquire links in prominent listicles or best-of articles. Those are strong signals for the LLMs." These curated content pieces often serve as trusted sources for AI models, and a presence within them can significantly boost a product’s perceived authority and discoverability. For startups with limited resources, prioritizing structured product data and securing placements in reputable listicles would be the most impactful initial steps.
For ventures with greater financial backing, Trusnik suggests investing in paid advertising, specifically Meta ads, to build crucial top-of-funnel awareness. However, he stresses that content marketing—whether in the form of articles, videos, or social posts—remains valuable, provided it offers original insights unavailable elsewhere. This contrasts with AI-generated content, which, by its very nature, is often repurposed and may lack the unique perspective that resonates with consumers.
Trusnik also advocates for a strategic understanding of market dynamics, referencing the concepts of "blue oceans" and "red oceans." A "red ocean" represents a crowded market with intense competition, while a "blue ocean" signifies an uncontested market space ripe for innovation. "A product has to be novel and solve an unaddressed pain point," he asserted. This doesn’t necessarily demand groundbreaking invention, but rather a unique positioning or an enhancement that addresses a previously unmet need.
Iterative Novelty and Market Differentiation
The concept of "iterative novelty" seems to resonate well with many entrepreneurs seeking to carve out a niche. Bandholz offered the example of Grüns gummies, which entered a market already saturated with gummy vitamins. Their differentiation lay in adding dozens of unique ingredients and positioning their product as a "superfood" rather than just a dietary supplement. This approach demonstrates how incremental innovation, coupled with effective branding and positioning, can disrupt established markets.
Trusnik echoed this sentiment, drawing from his agency’s experience with hemp beverage companies. "That space has exploded as an alternative to alcohol," he noted. While the core product remains hemp, the novelty lies in its social utility: replacing alcoholic beverages in communal settings. This highlights how redefining a product’s application or perceived benefit can create significant market opportunities. The key is not necessarily inventing something entirely new, but rather identifying and exploiting a new angle or a previously overlooked consumer need.
The Evolving Role of AI in E-commerce
The implications of AI’s integration into e-commerce are far-reaching. For startups, it necessitates a fundamental shift in how product information is managed and presented. Data is no longer just for human consumption; it is the raw material for AI algorithms that are increasingly influencing purchasing decisions. Businesses that fail to optimize their data for AI discoverability risk becoming invisible to a growing segment of online shoppers.
Furthermore, the rise of AI-powered search and recommendation engines may democratize access to consumers, potentially leveling the playing field for smaller businesses that can effectively leverage these new channels. However, it also demands a higher level of technical sophistication and a commitment to data integrity. The ability to craft rich, structured product descriptions, implement proper Schema markup, and ensure AI crawlers can access site content will become as critical as traditional SEO practices.
The trend towards AI-driven customer interactions also implies a future where personalization reaches new heights. LLMs can process vast amounts of data to understand individual customer preferences and deliver highly tailored product recommendations. This could lead to increased conversion rates and a more satisfying shopping experience for consumers.
However, challenges remain. Ensuring the accuracy and reliability of AI recommendations, addressing potential biases in AI algorithms, and maintaining consumer trust in AI-generated content are ongoing areas of development. As AI continues to mature, e-commerce businesses will need to remain agile, adapting their strategies to harness its power responsibly and effectively.
Connecting with Forest City Digital
For entrepreneurs and e-commerce professionals interested in learning more about navigating the AI-driven market or seeking expert guidance, Kenny Trusnik and Forest City Digital are accessible resources. The agency’s website, ForestCityDigital.com, provides a gateway to their services and insights. Trusnik also encourages direct engagement via LinkedIn, where he is readily available to discuss e-commerce strategies and challenges. His commitment to sharing knowledge and fostering growth within the e-commerce community underscores the evolving collaborative nature of the industry in the face of technological transformation. The integration of AI is not merely a technological shift; it represents a fundamental redefinition of how businesses connect with consumers, and a strategic focus on foundational data practices, as advocated by Trusnik, will be paramount for success in this new era.
