By Eric Bandholz
As the digital landscape experiences a seismic shift driven by artificial intelligence, traditional customer acquisition strategies for ecommerce brands are no longer enough. The rise of Large Language Models (LLMs), AI-driven search engines, and generative discovery tools has fundamentally rewritten the rules of how consumers find, evaluate, and purchase products online.
To unpack this shifting paradigm, I recently sat down with Kenny Trusnik, founder of Cleveland, Ohio-based marketing agency Forest City Digital. Trusnik, whose career spans corporate giants like Toyota and Sherwin-Williams before transitioning into high-growth digital startups, shared actionable insights on how modern ecommerce brands can survive and thrive amid today’s AI tumult.
According to Trusnik, the secret to capturing traffic and revenue in an AI-dominated ecosystem comes down to one fundamental principle: deep, clean, and highly structured product data.
Main Facts: The New Rules of AI-Driven Ecommerce
The integration of artificial intelligence into everyday shopping habits has created a new battleground for digital merchants. Search is no longer confined to blue links on Google; it now encompasses conversational AI recommendations from platforms like ChatGPT, Claude, and Gemini.
Key takeaways from our discussion highlight how digital marketing is evolving:
- The Rise of LLM Revenue: Forward-thinking brands are already seeing up to 10% of their total online revenue driven directly by AI referrals and citations.
- The Importance of Structured Data: Clean, deep, and organized product metadata is essential for making a catalog readable and recommendable by generative AI models.
- Infrastructure Essentials: Simple technical oversights—such as misconfigured
robots.txtfiles that block AI crawlers—can completely eliminate a brand from the consideration sets of top generative platforms. - Strategic Product Positioning: Success in modern ecommerce requires balancing iterative novelty (solving existing problems in new ways) with robust, multi-channel marketing strategies that combine paid social, organic search, and lifecycle retention.
Chronology: From Corporate Marketing to Agency Leadership
To understand Trusnik’s perspective on modern marketing, it is helpful to examine the trajectory that led him to establish Forest City Digital in 2020.
Early Corporate Experience
Trusnik began his professional career in traditional corporate environments, cutting his teeth at major enterprises including Toyota and Sherwin-Williams. Working within these massive organizational structures taught him the value of disciplined marketing, rigorous data analysis, and cross-functional alignment. However, it also instilled a deep appreciation for outcome-oriented goal-setting—a mindset focused on real business growth rather than agency-centric vanity metrics.
Transition to the Startup Ecosystem
Seeking a more agile environment, Trusnik transitioned to a small startup, where he specialized in helping content creators monetize their viewership through dedicated ecommerce channels. This hands-on experience bridged the gap between brand-building and direct-to-consumer (DTC) sales, exposing him to the fast-paced challenges facing digital-first merchants.
Founding Forest City Digital (2020)
In 2020, Trusnik launched Forest City Digital with a core philosophy rooted in his corporate days: tying digital marketing directly to the overarching business goals of his clients. Rather than isolating search engine optimization (SEO), paid ads, and email marketing into independent silos, the agency built an integrated approach designed to maximize the entire customer journey.
Over the years, the agency expanded its focus to encompass a triad of core pillars: search (organic Google/Bing and AI visibility), social (influencer programs and paid channels), and retention (using email platforms like Klaviyo and Brevo to patch sales funnel leaks).
Supporting Data and Technical Insights: Demystifying Agentic Storefronts
One of the most critical developments discussed in our conversation was the introduction of new infrastructure designed to bridge the gap between merchants and artificial intelligence.
The Advent of Shopify’s Agentic Storefronts
Earlier this year, e-commerce platform giant Shopify rolled out Agentic Storefronts. This tool is designed to expose a merchant’s entire product catalog directly to prominent LLMs, functioning conceptually much like traditional product syncing to Google Merchant Center or Meta Commerce accounts.
Trusnik explains the technical mechanics:
"Agentic Storefronts makes merchants’ data accessible and crawlable by these LLMs. All Shopify product fields are now visible to LLM crawlers. Examples include categories, colors, sizes, features, and materials."
The ultimate goal of this integration is straightforward: when a shopper asks a conversational AI assistant for product recommendations based on specific characteristics or nuanced use cases, the AI can seamlessly pull and recommend the merchant’s products.
The Role of Schema Markup and Technical Hygiene
Beyond native platform tools, Trusnik emphasizes that traditional technical foundations remain vital. Structured data—specifically Schema.org markup—acts as a translator, helping web crawlers and algorithmic models easily understand a website, its individual products, and its overarching purpose.
Furthermore, merchants must conduct routine audits of their technical setups. A simple, preventable error like blocking generative AI user-agents in a site’s robots.txt file can instantly blind major AI platforms to a brand’s existence.
Official Responses and Strategic Blueprints for 2026
When asked how he would approach launching an ecommerce brand in the current climate, Trusnik outlined a clear, resource-conscious playbook designed to maximize visibility without burning unnecessary capital.
1. Optimize Product Data and Opt into AI Frameworks
If starting today, Trusnik’s primary directive is unequivocal: focus intensely on getting product data as deep, clean, and structured as possible. For brands operating on modern platforms like Shopify, opting into tools like Agentic Storefronts is non-negotiable.
2. Target High-Authority Listicles
In the era of AI search, search engines and LLMs heavily rely on authoritative third-party roundups to determine product quality and relevance. Trusnik advises founders with limited resources to prioritize acquiring placements in prominent "best-of" articles and listicles. These mentions serve as powerful trust signals that AI algorithms ingest and validate.
3. Leverage Paid Social for Top-of-Funnel Awareness
While organic optimization lays the foundation, paid media remains a powerful growth accelerator. For brands with adequate capital, Trusnik recommends investing in platforms like Meta ads to drive top-of-funnel awareness and immediate customer acquisition.
4. Create Uniquely Original Content
In an online ecosystem increasingly flooded with homogenized, AI-generated text and repurposed articles, genuine originality stands out. Trusnik stresses that content—whether written articles, video production, or social media posts—must contain original insights, proprietary data, or unique perspectives that cannot be easily synthesized by a machine.
Implications: Iterative Novelty and the "Blue Ocean" Strategy
Beyond tactical marketing, long-term success in ecommerce requires deep product-market fit. In our discussion, Eric Bandholz and Kenny Trusnik explored the fine line between true market disruption and iterative novelty.
The Power of Iterative Novelty
Entrepreneurs often feel pressured to invent a completely unprecedented product category. However, Trusnik and Bandholz noted that sustainable success frequently comes from iterative novelty—taking an existing, proven product category and introducing a unique twist that solves an unaddressed consumer pain point.
- The Grüns Gummies Example: Bandholz pointed to wellness brand Grüns gummies as a prime example. Gummy vitamins were already a saturated, widely available commodity. Grüns achieved massive breakout success by packing dozens of additional superfood ingredients into the gummy format, successfully repositioning a standard vitamin as a comprehensive superfood.
- The Hemp Beverage Boom: Trusnik highlighted another prime example from his agency’s portfolio: the explosive growth of hemp-infused beverage brands. While hemp and relaxation beverages are not entirely new concepts, their strategic positioning as a functional, social alternative to alcohol represents a powerful iterative novelty that captures a massive, unserved consumer demand.
Navigating Red Oceans vs. Blue Oceans
By applying classic "Blue Ocean Strategy" principles to modern DTC business decisions, brands can avoid competing in blood-red, hyper-saturated commodity markets. A product must offer a distinct novelty that addresses a real-world friction point. When paired with clean data structures and optimized AI visibility, these brands can carve out highly profitable niches.
Conclusion
The intersection of ecommerce and artificial intelligence can feel chaotic, but as Kenny Trusnik’s insights demonstrate, the fundamentals of great business still apply. By combining rigorous technical hygiene—such as structured metadata, clean robots.txt configurations, and Shopify’s Agentic Storefronts—with authentic product novelty and smart multi-channel distribution, modern ecommerce brands can successfully navigate the AI tumult and secure sustainable, long-term growth.
To listen to the full audio conversation and explore more expert insights, visit Forest City Digital or connect with Kenny Trusnik directly on LinkedIn.
