What is visual search?

Visual search is a search technology that allows users to find information or products using an image instead of typing a text query. A user can upload a photo, take a picture with a camera, or select an image, and the search engine or AI system analyzes the visual content to identify similar products or related information.

How visual search works:

1. The user uploads or captures an image.
2. AI and computer vision analyze the image’s features, such as shape, color, pattern, material, and style.
3. The system identifies the object and searches for visually similar products or related content.
4. It returns matching products, images, or information.

Benefits of visual search:

• Makes product discovery faster and easier.
• Helps users find products when they don’t know the correct name or keywords.
• Improves the shopping experience with image-based search.
• Increases product visibility and engagement.
• Supports AI-powered product recommendations.
• Drives qualified traffic and can improve conversion rates.
• Encourages impulse purchases by making similar products easy to find.
• Enhances mobile shopping experiences.

Example for a jewellery brand:

A customer sees a diamond engagement ring in a photo and uploads it to a visual search tool. The system analyzes the ring’s features—such as the diamond shape, setting, metal, and style—and displays similar engagement rings available on the jewellery brand’s Shopify store.

By optimizing product images, metadata, and structured data, jewellery brands can improve their chances of appearing in visual search results, helping customers discover and purchase their products more easily.