Executive Overview
The e-commerce landscape is undergoing a profound structural evolution. For decades, online retail growth was largely dictated by a singular playbook: master traditional search engine optimization (SEO) on Google, buy targeted traffic through Meta and Google Ads, and capture customer lifetime value via email marketing. Today, that foundational playbook is being radically disrupted by the rapid ascent of generative artificial intelligence (GenAI) and Large Language Models (LLMs).
As consumers increasingly turn to conversational AI platforms like ChatGPT, Claude, and Gemini to research products, compare specifications, and make purchasing decisions, a new digital battleground has emerged. This shift is no longer a distant theoretical trend; it is a live commercial reality. Forward-thinking digital agencies and brands are reporting that up to 10% of their total online revenue is now directly attributable to LLM referrals and citations.
To unpack how emerging brands can navigate this turbulent digital ecosystem, Eric Bandholz recently sat down with Kenny Trusnik, founder of the Cleveland-based digital marketing agency Forest City Digital. With a career spanning corporate giants like Toyota and Sherwin-Williams before transitioning into the agile world of creator-led e-commerce startups, Trusnik offers a pragmatic, data-driven perspective on modern customer acquisition.
This deep dive explores Trusnik’s strategic framework for modern e-commerce survival. It examines the technical mechanics of AI visibility, the critical role of structured product data and Shopify’s Agentic Storefronts, the shifting economics of digital advertising, and how brands can engineer genuine product novelty in a marketplace saturated by AI-generated content.
Detailed Chronology: From Corporate Roots to AI-Driven Marketing
The trajectory of Forest City Digital mirrors the broader maturation of the digital marketing industry over the past decade. Founded in 2020 by Kenny Trusnik, the agency was built on a foundational ethos derived from his early experiences in corporate America.
The Corporate Foundation
Trusnik’s career began in structured, large-scale corporate environments, cutting his teeth at multinational powerhouses Toyota and Sherwin-Williams. In these massive organizations, marketing initiatives were rarely treated as isolated creative exercises. Instead, they were strictly tethered to measurable business objectives, return on investment (ROI), and cross-functional corporate goals.
However, the rigidity of corporate life eventually prompted a pivot. Trusnik transitioned into the startup ecosystem, joining a lean venture dedicated to helping digital content creators monetize their viewership streams through direct-to-consumer (DTC) e-commerce. This environment required a high degree of agility, forcing him to adapt traditional marketing principles to fast-moving, digitally native consumer brands.
Founding Forest City Digital
By 2020, Trusnik synthesized these dual experiences—the structural discipline of corporate boardrooms and the scrappy speed of the startup world—into a new venture: Forest City Digital.
From its inception, the agency rejected the traditional agency model of vanity metrics, hollow click-through rates, and disconnected creative campaigns. Instead, Trusnik imported his core corporate philosophy into the agency’s DNA: tying every marketing channel, metadata update, and ad dollar directly to what clients were fundamentally trying to accomplish from a P&L perspective.
Today, Forest City Digital focuses its efforts on three primary pillars of modern digital growth:
- Search: Encompassing traditional organic search engine optimization (Google and Bing) alongside the rapidly expanding frontier of AI visibility and LLM referrals.
- Social: Managing comprehensive, high-impact influencer marketing programs coupled with paid social media acquisition campaigns.
- Retention: Utilizing advanced email and SMS marketing platforms (such as Klaviyo and Brevo) to plug leaks in sales funnels and maximize customer lifetime value (LTV).
Additionally, the agency provides fractional e-commerce leadership and high-level marketing strategy consulting for brands navigating complex growth phases.
Supporting Context & Metrics: The Mechanics of AI Visibility
As search behavior shifts from keyword queries to natural language prompts, the metrics governing e-commerce success are undergoing a quiet revolution. Traditional metrics like click-through rates (CTR) and keyword rankings are increasingly complemented—and in some cases superseded—by LLM citation share and algorithmic discoverability.
The Rise of LLM-Driven Revenue
According to observations from Trusnik and his team at Forest City Digital, cutting-edge e-commerce brands are already seeing remarkable returns from AI visibility. For certain clients, upwards of 10% of total online revenue can be traced back to LLM referrals.
This dynamic is particularly pronounced in technical, spec-intensive, and niche markets—such as aftermarket automotive parts, specialized hardware, and complex consumer goods. In these verticals, consumers often ask LLMs highly specific questions: "What is the best suspension kit for a 2018 Jeep Wrangler with a 3-inch lift?" or "Which organic supplement contains X, Y, and Z minerals without artificial fillers?"
Traditional search engines often present a fragmented list of sponsored ads, blog roundups, and varying retail sites. In contrast, conversational AI synthesizes this data, providing a direct recommendation. Brands that fail to structure their data so that LLMs can read, interpret, and trust it are systematically excluded from these high-intent recommendations.
The Technical Baseline: Unblocking AI Crawlers
For merchants looking to capture this emerging revenue stream, Trusnik emphasizes that the journey begins with foundational technical hygiene.
The immediate, non-negotiable first step for any e-commerce merchant is auditing their site’s robots.txt file. Many websites, either by default or through overly aggressive legacy security configurations, inadvertently block web crawlers belonging to top generative AI platforms (such as OpenAI’s GPTBot, Anthropic’s ClaudeBot, and Google-Extended).
If an AI platform’s crawler is locked out of a merchant’s digital storefront, that brand essentially ceases to exist in the conversational AI ecosystem. Ensuring that these crawlers have unhindered access is the prerequisite for all subsequent AI optimization strategies.
Official Statements & Expert Insights: The Blueprint for 2026
During their conversation, Bandholz and Trusnik explored a compelling hypothetical scenario: If an entrepreneur were to launch a brand new e-commerce company today, what would the ideal customer acquisition strategy look like?
Trusnik’s response provides an authoritative masterclass in modern digital marketing strategy, breaking down resource allocation across technical optimization, organic authority, paid media, and product innovation.
1. Deep, Structured Product Data
"Focus on getting the product data as deep and clean as possible in a structured environment," Trusnik advises.
In the age of AI, data is no longer just stored for internal analytics; it is actively consumed by machine learning models. If a product catalog features sparse descriptions, missing attributes, or poorly organized categories, LLMs will overlook the products in favor of competitors with richer metadata.
2. Leveraging Shopify’s Agentic Storefronts
For merchants operating on modern infrastructure, platforms are rapidly adapting to this reality. Trusnik highlights Shopify’s rollout of Agentic Storefronts, a powerful tool designed to bridge the gap between merchants and conversational AI.
"Shopify rolled out Agentic Storefronts earlier this year. The tool exposes a merchant’s catalog to prominent LLMs such as ChatGPT, Claude, and Gemini. It’s similar in concept to syncing products to Google Merchant Center or a Meta Commerce account."
Agentic Storefronts makes a merchant’s entire product catalog fully accessible and crawlable by LLMs. Every granular Shopify product field—including categories, color variants, sizing charts, technical specifications, features, and material compositions—is exposed to AI crawlers.
Furthermore, Trusnik stresses the ongoing importance of structured data markup, such as Schema.org implementation. Structured data acts as a universal translator, helping web crawlers and AI algorithms instantly comprehend the architecture of a website, the exact nature of its products, and the core purpose of the brand.
3. Earning Authority Through Listicles and Digital PR
Beyond backend metadata, brands must establish external authority that LLMs recognize as trustworthy training data.
"I would try to acquire links in prominent listicles or best-of articles. Those are strong signals for the LLMs. With limited resources, I’d focus on structured product data and listicle links."
When consumers ask AI models for product recommendations, the underlying algorithms heavily weight mentions from authoritative third-party publications, industry roundups, and curated review sites. Securing placements in these "best-of" lists acts as social proof for both human consumers and artificial intelligence engines.
4. Paid Media and the Power of Novelty
For brands operating with substantial capital reserves, Trusnik advocates for a balanced omni-channel approach:
"If I had the money, I would invest in Meta ads to build top-of-funnel awareness."
However, paid media alone cannot save a fundamentally uninteresting product. Trusnik pivots the discussion toward product market fit, referencing the classical economic concepts of "blue oceans" and "red oceans." To break through market noise, a product must be genuinely novel and solve an unaddressed consumer pain point.
Discussing iterative novelty, Bandholz points to brands like Grüns gummies, which transformed a commoditized product category. While gummy vitamins were already widely available, Grüns successfully packaged dozens of superfood ingredients into a daily gummy format, positioning their product not as a basic vitamin, but as an advanced superfood supplement.
Trusnik echoes this philosophy through his agency’s extensive work within the booming hemp beverage industry:
"Yes, don’t get too novel. We work a lot with hemp beverage companies. That space has exploded as an alternative to alcohol. It’s still hemp, but the novelty is that it replaces alcohol in social settings."
5. Original Content vs. AI Repurposing
Finally, addressing the proliferation of low-quality AI-generated content flooding the internet, Trusnik draws a sharp line regarding content marketing:
"Content—articles, videos, social posts—helps if it contains original info unavailable elsewhere, unlike AI-generated content, which is, by definition, repurposed."
Brands that rely on automated, generic AI text generators to churn out blog posts will find themselves penalized by both search algorithms and discerning consumers. True content value in the modern era requires proprietary research, unique data points, expert interviews, and firsthand human experiences.
Future Outlook: The Next Era of E-Commerce
As we look toward the future of digital retail, the boundary between traditional search engine optimization, artificial intelligence discovery, and direct-to-consumer marketing will continue to blur.
The brands that thrive in this environment will not be those that resist technological shifts, nor those that blindly automate their marketing with low-effort tactics. Instead, successful e-commerce startups will adopt a dual-engine strategy:
- Immaculate Technical Foundations: Ensuring that their product data is meticulously organized, deeply structured, and fully accessible to AI crawlers through tools like Shopify’s Agentic Storefronts and Schema markup.
- Genuine Product and Content Differentiation: Offering novel solutions to real-world problems while producing proprietary, human-driven content that generative AI models must cite as an authoritative source.
For entrepreneurs looking to connect with industry experts like Kenny Trusnik and the team at Forest City Digital to discuss these strategies further, resources and consultations can be accessed directly via ForestCityDigital.com or by connecting with Trusnik on LinkedIn.
