AI Search Surge: Claude Leads Growth, But Retailers Lag in Visibility

14-06-2026
AI leading digital growth, retail lagging behind.

The landscape of online search is rapidly evolving as AI assistants become a primary interface for consumers. While AI-referred traffic to retail sites has surged dramatically, many businesses are failing to optimise their digital presence, leading to a significant gap in AI search visibility. Emerging data indicates that platforms like Claude are experiencing rapid growth in referral traffic, signalling a fundamental shift in how users discover and interact with brands online.

Key Takeaways

  • AI-referred traffic to U.S. retail sites has seen a substantial year-over-year increase.
  • Claude is emerging as the fastest-growing AI traffic source, though still small in overall volume.
  • A significant portion of U.S. retail websites are not fully machine-readable, hindering their visibility in AI search results.
  • Optimising content for AI, focusing on clarity, credibility, and consistency, is crucial for brands.
  • Google Analytics has introduced new features to track traffic from AI assistants like ChatGPT, Gemini, and Claude.

The Rise Of AI Traffic

Recent data reveals a dramatic increase in traffic originating from AI sources. In the first quarter of 2026, AI traffic to U.S. retail sites grew by 393% year-over-year. This trend continued into March, with a 269% year-over-year increase. Consumers are increasingly using AI-powered tools to find products and deals, with a significant portion of shoppers reporting that AI has improved their online shopping experience. Furthermore, AI traffic is converting better than traditional channels, with engagement rates and time spent on-site also showing marked improvements.

Claude’s Rapid Ascent

Among the various AI platforms, Claude has demonstrated the most significant growth in referral traffic. In April, it sent nearly four times more traffic than in January, marking a 386% increase. While still a small fraction of overall traffic, this rapid growth suggests a growing user base and increasing reliance on the platform. Other AI assistants like ChatGPT, Gemini, and Copilot also contribute to AI-referred traffic, with ChatGPT still dominating the overall AI traffic share.

The Visibility Gap For Retailers

Despite the surge in AI traffic, a substantial challenge remains for retailers: many websites are not optimised for machine readability. Adobe’s analysis indicates that a significant portion of content on U.S. retail websites, particularly on individual product pages, is not easily interpretable by AI models. This lack of optimisation means that even as consumers increasingly turn to AI for shopping, many retailers risk becoming invisible in AI-generated search results. This necessitates a shift towards Generative Engine Optimization (GEO), focusing on clarity, credibility, and consistency across digital properties.

Strategies For AI Search Success

To thrive in the new AI-driven search environment, brands must adapt their content strategies. This involves ensuring content is clear, credible, and consistent across all platforms. Structured content, such as FAQs and knowledge base articles, is proving particularly effective, as AI systems can more easily extract and synthesise this information. External signals, including earned media and expert commentary, also play a crucial role in building trust and authority for AI models. Companies like Akamai are developing solutions to help businesses optimise their content for AI search and monitor bot activity, recognising the critical need for brands to control their narrative in AI-generated responses.

Tracking AI’s Impact

To help businesses understand the growing influence of AI, platforms like Google Analytics are introducing new measurement capabilities. The latest updates allow for the tracking of AI assistant traffic, categorising visits from sources like ChatGPT, Gemini, and Claude under a dedicated "AI Assistant" channel. This enables businesses to monitor user clicks, identify trending AI sources, and compare AI-driven traffic against traditional channels, providing valuable insights into how generative AI is impacting their operations.

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