Human teams naturally focus on top-performing products and major retailers due to limited bandwidth. AI agents can manage the entire catalog and all retail channels, capturing significant revenue and efficiency gains from the often-neglected "long tail."

Consumer search behavior is shifting from browsers to AI assistants. E-commerce brands must adapt by treating agents like ChatGPT as new traffic sources. This requires making product data discoverable via APIs to enable seamless research and purchasing directly within conversational AI platforms.

Shopify's President argues that unlike ad-driven search, agentic commerce uses a user's deep contextual history to surface the best products. This merit-based system gives smaller, specialized brands an advantage over large incumbents who traditionally dominate through advertising spend.

Previously, building sophisticated digital experiences required large, expensive development teams. AI and agentic tools level the playing field, allowing smaller businesses to compete on capabilities that were once out of reach. This creates a new 'guy in the garage' threat for established players.

Mastercard's CEO believes AI-driven "agentic commerce" won't just benefit consumers. By searching the entire market for the best offers, these agents will allow small businesses to compete directly with large corporations, leveling the playing field and increasing market competition.

Shopify's Harley Finkelstein argues agentic commerce will make SEO obsolete. Instead of brands gaming search rankings, AI will recommend products based on merit and a user's personal context history. This shift could level the playing field, allowing smaller, high-quality brands to be discovered more easily.

When a specific brand search fails, users make longer, descriptive queries. AI search uses this context to suggest relevant competitors (e.g., Rag & Bone over Levi's), creating opportunities for challenger brands to win customers from established leaders.

Generative AI changes brand discovery from a budget-driven game to one based on relevance, credibility, and usefulness. This levels the playing field, allowing smaller, more agile brands to compete with larger incumbents who traditionally relied on massive ad budgets.

In AI-driven commerce, brands win by being selected by an agent, not by ranking on a search page. This shift favors brands with trustworthy, structured, and verifiable data over those with the largest advertising budgets, leveling the playing field for smaller, agile companies.