With the updates to Amazon’s COSMO image recognition algorithm and the Rufus scene recognition system, images have become an important source of keyword signals. Sellers need to convey product information to the algorithm through visual content in order to receive accurate recommendations. LINGXING ERP’s AI image generation function helps sellers efficiently create scenario-based images at low cost, improving algorithm matching and conversion performance.
1. How Does COSMO Recognize Images?
COSMO builds an "e-commerce commonsense relationship network" through massive user behavior data. It uses an image-text joint semantic model and performs recognition in three steps: parsing image content, understanding scene context, and inferring user intent. The algorithm can not only identify product features but also determine target audiences, usage scenarios, and functional selling points based on elements such as characters, scenes, and actions in the image, thereby influencing recommendation results.2. How to Efficiently Implement Visual Keyword Embedding in Images
Using LINGXING ERP’s AI image generation function, sellers can generate images from text or from existing images, with access to 14 keyword templates. By simply entering a product description or providing a base image, sellers can quickly generate high-quality, attractive product display images.
The templates come pre-configured with prompts for generating various scenario-based product images. Sellers can also upload product images to LINGXING and input custom prompts—LINGXING will generate corresponding scenario-based product images within one minute. Prompts can include specific characters (audience), detailed scenes (usage scenarios), and product functions (uses), thereby visually conveying keyword signals to the algorithm in detail.
At the same time, sellers should ensure consistency between text and image signals—meaning titles, search terms, bullet points, and other textual content in the listing must align with the signals conveyed by the images. At this stage, sellers can use LINGXING ERP’s AI Copywritingfunction to generate listing content that corresponds cohesively. When the algorithm receives consistent "intent" signals from both images and text, COSMO will accurately recommend products to users with relevant needs, enabling precise traffic conversion and improving the user experience.
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