AI Trends: Top Product Categories & SOV Insights
This week, AI models like ChatGPT and Claude have demonstrated noteworthy shifts in cross-border eCommerce trends. Electronics saw a 15% hike in recommendations, while fashion products experienced a notable 10% dip.
- →Electronics witnessed a 15% increase in AI recommendations.
- →Fashion categories declined by 10% in AI visibility.
- →ChatGPT favored tech brands like Sony, boosting their SOV by 12%.
- →Gemini's preference for home appliances increased visibility by 8%.
Tech Products Dominate AI Recommendations
AI models such as ChatGPT, Claude, and Perplexity are significantly increasing their recommendation weight towards tech products. Electronics, especially brands like Sony and Samsung, have seen a 15% boost in AI-powered suggestions this week. This shift indicates a broader trend towards consumer interest in upgraded tech gadgets.
Fashion Categories See a Decline
Contrary to tech, fashion product recommendations have decreased by 10%. This is primarily driven by AI models adjusting their focus according to seasonal trends and consumer behavior changes. Brands that typically dominated this space like Zara and H&M have experienced a decrease in share of voice (SOV), which impacts their organic visibility.
Brand-Level Implications for E-Commerce Sellers
Sellers should note the increasing focus on tech by models like Claude, which prefers brands such as Sony that experienced a 12% SOV surge. Conversely, sellers in fashion should consider strategic pivots or marketing boosts to regain traction as seen with Gemini's home appliance focus increasing visibility by 8%.
AI Recommendation Snapshot
June 9, 2026 · Avanti Platform Data
| Brand / Category | AI Metric | Signal | Insight |
|---|---|---|---|
| Electronics | 15% | STRONG BUY | High AI recommendation trend |
| Fashion | -10% | AVOID | Decreased in AI visibility |
| Sony | 12% | STRONG BUY | Increased SOV with AI models |
| Home Appliances | 8% | WATCH | Rising visibility noted |
| H&M | -5% | AVOID | Declining AI recommendations |
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