The Invisible Marketplace: How AI Is Changing Product Discovery in Ecommerce and Online Marketplaces

Artificial Intelligence (AI) is transforming how customers discover, evaluate, and purchase products online. For marketplace sellers, ecommerce businesses, and retail leaders, understanding this shift may become one of the most important competitive advantages of the next decade.

What Is the Invisible Marketplace?

Traditionally, online shopping followed a predictable path:

Customer → Search Engine or Marketplace Search → Product Listing → Purchase

Today, a new layer is emerging between customers and products.

Consumers are increasingly using AI-powered tools such as ChatGPT, Gemini, Perplexity, Amazon Rufus, and other shopping assistants to help them research products, compare alternatives, and make purchasing decisions. Instead of manually browsing hundreds of listings, shoppers can simply ask AI for recommendations.

This growing ecosystem—where products are discovered, evaluated, and recommended by AI before a customer visits a website or marketplace—is what we call The Invisible Marketplace.

Why AI Product Discovery Matters

The shift toward AI-powered shopping is already underway.

According to Euromonitor, AI-driven referrals to retail websites increased by more than 300% during 2025 (Source). BrightEdge reported that AI-generated shopping traffic grew by more than 750% year-on-year during the 2025 holiday season (Source).

These trends suggest that AI is becoming a significant source of product discovery, influencing customer buying decisions before traditional search results are even viewed.

For sellers on marketplaces such as Amazon, Takealot, Walmart Marketplace, and ecommerce platforms such as Shopify and WooCommerce, this represents a fundamental change in how visibility is earned.

How AI Chooses Which Products to Recommend

Many sellers still focus primarily on keywords, rankings, and advertising.

While these remain important, AI recommendation systems evaluate products using a broader set of signals.

These include:

• Product information quality and completeness

• Customer ratings and review sentiment

• Product availability and stock consistency

• Fulfilment performance and delivery reliability

• Brand trust and credibility

• Relevance to the shopper's specific intent

  
  

Research into ecommerce recommendation systems consistently shows that AI performs best when it can access rich product data, customer feedback, and contextual information to determine which products are most likely to satisfy a shopper's needs (Source).

The World's Largest Retailers Are Already Preparing

The largest retailers in the world are investing heavily in AI-powered commerce experiences.

In May 2026, Amazon Web Services announced its Agentic Shopping Assistant, built on the same technology that powers Amazon's own shopping assistant. According to Amazon, the technology generated nearly $12 billion in incremental sales before being offered to external retailers (Source).

Amazon is also integrating conversational shopping experiences more deeply into its customer journey through Alexa and Rufus, reflecting a broader industry movement towards AI-assisted commerce (Source).

The Future of Marketplace SEO and Ecommerce SEO

For years, businesses have optimised for search engines and marketplace algorithms.

The next evolution is optimising for AI recommendation.

Businesses that invest in:

• High-quality product content

• Authentic customer reviews

• Consistent product data

• Reliable fulfilment

• Clear customer value propositions

will be better positioned to benefit from AI-driven product discovery.

The goal is no longer simply to rank higher in search results.

Increasingly, the goal is to become the product that AI recommends.

Key Takeaway

The Invisible Marketplace is not replacing traditional ecommerce or marketplaces.

It is becoming a new layer that sits between customers and products.

As AI increasingly influences product discovery and purchasing decisions, successful sellers will focus on becoming:

✅ AI-discoverable ✅ AI-understandable ✅ AI-recommendable

The businesses that understand this shift today will be better positioned to compete in tomorrow's ecommerce landscape.

The question is no longer:

"How do I rank?"

It is rapidly becoming:

"How do I become the recommendation?"