Amazon Launches AI Image Generator to Refine Product Search Queries

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6.9.2026

Quick Facts

Amazon’s AI image generator creates product visuals based on customer descriptions like color, texture, and pattern
The feature is currently limited to apparel and home goods categories for U.S. mobile app users
Industry experts criticize the tool as wasteful of AI resources since Amazon already has millions of real product images

Amazon has integrated an AI image generator into its shopping app to help customers narrow search queries through visual suggestions. The feature generates product images based on descriptions and refines them as customers add more specific criteria.

Mihir Bhanot, director of search at Amazon, announced the tool in a June 3 company blog post covering eight visual search updates. When customers search using descriptive language for color, texture, or pattern, AI-generated images appear in suggestions below the search bar and shift with each word added.

The service launches for apparel and home goods but will expand to more product categories. Customers can tap generated images that match their vision and shop for similar products.

Amazon’s AI tools show strong performance metrics. Rufus, the company’s AI shopping assistant, reached more than 300 million users by early 2026 and generated nearly $12 billion in incremental annualized sales during 2025. Customers who engage with Rufus convert at rates more than 60% higher than those who do not.

The new feature has drawn criticism from technology experts. Ben Schoon, Senior Editor at 9to5Google, called the concept ‘wildly wasteful in terms of the use of AI resources.’ He argued that generating fake images during product search ‘just seems remarkably dumb’ since people go to Amazon to buy actual products.

‘Having an AI take your search and create things that do not exist makes no sense whatsoever,’ Schoon wrote. TechCrunch’s Sarah Perez described the approach as ‘somewhat bananas’ given Amazon’s existing catalog of real product photographs.

The tool raises concerns about marketplace fairness and consumer trust. When Amazon places synthetic discovery images ahead of real listings, it creates a middle ground between inspiration and representation that needs clear boundaries.

For sellers, the feature creates new competition they cannot fully control. Traditional search rewards titles, images, reviews, and advertising spend. AI-led discovery may also reward how well products match synthetic visual concepts generated before customers see real listings.

Amazon plans to spend nearly $200 billion on capital expenditures in 2026, primarily on AWS and generative AI. The company’s advertising revenue crossed $70 billion on a trailing twelve-month basis after Q1 2026, growing 24% year-over-year.

Along with the image generator, Amazon launched a ‘Shop by Style’ tool that creates AI-generated shoppable collages sorted into categories like ‘soft elegance’ or ‘urban luxe.’ The company also replaced its Rufus AI chatbot with Alexa for Shopping to enable natural language queries via voice and text.