Navigating the AI-Driven Marketplace: Forest City Digital Founder Kenny Trusnik on the Future of Ecommerce Customer Acquisition

The landscape of digital commerce is undergoing its most profound transformation since the advent of mobile shopping. As generative artificial intelligence reshapes how consumers discover, evaluate, and purchase products online, traditional search engine optimization and standard digital marketing playbooks are rapidly losing their edge. To understand how emerging brands can survive and thrive amid this technological upheaval, Eric Bandholz recently sat down with Kenny Trusnik, founder of the Cleveland-based marketing agency Forest City Digital. The discussion sheds light on a shifting paradigm where large language models (LLMs) like ChatGPT, Claude, and Gemini act as the new gatekeepers of consumer intent, driving up to 10% of online revenue for forward-thinking merchants.
The Evolution of Forest City Digital
Founded in 2020, Forest City Digital emerged from Trusnik’s diverse professional background in both corporate environments and fast-paced startups. Having begun his career working with enterprise giants such as Toyota and Sherwin-Williams, Trusnik transitioned into the startup ecosystem, where he specialized in helping content creators monetize their digital viewership through direct-to-consumer ecommerce.
Reflecting on his corporate tenure, Trusnik noted a foundational philosophy that would ultimately shape his agency’s operational ethos: the necessity of aligning marketing initiatives directly with tangible business outcomes, independent of which agency partners were involved. When he launched Forest City in the midst of a global pandemic, this goal-oriented mindset became the cornerstone of the firm. Today, the agency focuses heavily on a tripartite approach encompassing organic and AI-driven search, social media marketing, and customer retention strategies.
The New Search Paradigm: Optimizing for LLMs and Agentic Storefronts
For decades, digital marketing strategies for ecommerce startups relied almost exclusively on capturing traditional search engine traffic through Google and Bing. While these channels remain vital, the rapid adoption of generative AI has introduced an entirely new digital storefront: conversational AI platforms.
Trusnik emphasizes that visibility within LLMs is no longer a futuristic concept; it is a present-day revenue driver. For many of Forest City Digital’s clients, traffic and referrals originating from generative AI platforms account for upwards of 10% of total online revenue. Achieving this level of visibility, however, requires a fundamental shift in technical backend execution.
Much of this success hinges on deep metadata optimization, particularly for specialized sectors such as aftermarket automotive brands and specification-intensive merchandise. A critical, foundational step for any digital merchant is verifying that their website’s robots.txt file does not inadvertently block web crawlers from top generative AI platforms. Locking out these crawlers effectively renders a brand invisible to AI shopping assistants.
This technical necessity has been significantly streamlined by platforms like Shopify, which rolled out its "Agentic Storefronts" initiative earlier this year. Similar in concept to traditional product syndication tools like Google Merchant Center or Meta Commerce accounts, Agentic Storefronts expose a merchant’s entire product catalog directly to major LLMs.
Through this integration, all granular product fields—including detailed categories, precise colorways, sizing charts, distinct features, and underlying materials—are made fully accessible and crawlable by AI systems. When a consumer asks an AI assistant to recommend a product matching specific, niche criteria, the LLM parses this structured data to deliver targeted recommendations. Consequently, the implementation of structured data frameworks, such as Schema.org markup, has transitioned from a technical recommendation to an absolute commercial imperative, enabling algorithms to accurately comprehend a website’s catalog and core purpose.
Strategic Playbook for an Ecommerce Startup in 2026
When evaluating how a newly launched ecommerce company should allocate its finite resources to attract customers in the current climate, Trusnik’s blueprint prioritizes structural integrity over vanity metrics.
If tasked with launching a brand from scratch today, Trusnik’s primary directive would be to focus obsessively on rendering product data as deep, clean, and structured as possible. On platforms like Shopify, enabling Agentic Storefronts would be an immediate day-one priority.
Beyond backend technical architecture, startup founders must navigate the evolving landscape of digital authority. Trusnik stresses the importance of acquiring strategic backlinks within prominent "best-of" lists and authoritative round-up articles. These placements serve as powerful trust signals for LLM algorithms, which heavily weight editorial validation when formulating recommendations.
For brands operating under tight financial constraints, the strategic combination of deeply structured product data and targeted listicle placements offers the highest return on investment. Conversely, brands backed by substantial venture capital or healthy cash flow can accelerate growth by deploying targeted top-of-funnel ad spend on platforms like Meta to build foundational brand awareness.
The Value of Original Content Versus AI Saturation
The widespread proliferation of generative AI tools has led to an unprecedented volume of digital content, much of which is derivative and repetitive. Trusnik warns against relying on AI-generated content for authority building, noting that by definition, automated content merely reorganizes information that already exists publicly.
To break through the noise, brands must invest in genuinely original content—including proprietary research, in-depth articles, expert-led video production, and authentic social media narratives—that provides unique value unavailable anywhere else on the web. This emphasis on originality intersects directly with classic business strategy frameworks, specifically the dichotomy between "red oceans" of fierce competition and "blue oceans" of uncontested market space. According to Trusnik, a successful product must inherently be novel and solve a previously unaddressed consumer pain point.
Iterative Novelty: Case Studies in Market Disruption
True market creation does not always require inventing an entirely new product category; often, it thrives on iterative novelty—taking an existing, proven commodity and redefining its positioning or formulation.
Discussing this phenomenon, Bandholz pointed to the commercial trajectory of Grüns gummies. While gummy vitamins were already an overcrowded and widely available commodity, Grüns successfully disrupted the vitamin aisle by incorporating dozens of dense ingredients and strategically positioning the product not merely as a daily vitamin, but as a comprehensive superfood.
Trusnik sees a similar dynamic playing out across the rapidly expanding hemp beverage sector. As consumer preferences shift away from traditional alcohol consumption toward functional, non-alcoholic alternatives for social settings, hemp-infused beverages have experienced explosive growth. The underlying product class—hemp—is well-established, but the strategic novelty lies in its positioning as a direct, sophisticated replacement for alcohol in social environments.
Broader Industry Implications and Future Outlook
The strategic insights shared by Trusnik highlight a broader, systemic transition within the global digital economy. As search engines evolve from blue-link directories into conversational answer engines, the mechanics of customer acquisition are shifting from winning keyword auctions to feeding AI algorithms clean, structured, and authoritative data.
For ecommerce merchants, the implications are clear. The era of superficial search optimization is drawing to a close. Success in the modern digital marketplace requires a dual commitment: rigorous technical compliance on the backend to satisfy AI crawlers, and genuine product differentiation on the frontend to capture human and algorithmic interest alike.
As the digital landscape continues to mature, brands that fail to adapt their data architectures and content strategies risk fading into obscurity, eclipsed by competitors who successfully navigate the intersection of structured data and generative discovery. Business leaders and entrepreneurs seeking to connect with Forest City Digital can find further insights and agency resources at ForestCityDigital.com or via Kenny Trusnik’s professional profile on LinkedIn.







