Visual Search and Google Lens
Visual search lets people search using an image instead of typed words, for example by pointing a phone camera at an object. Google Lens is Google’s visual search tool: it recognises objects, text, products and places in a picture and returns matching results, shopping listings and information.
How visual search works
Visual search tools use computer vision models to analyse an image. They identify objects, shapes, colours, text and landmarks, then compare them with images and data Google has already indexed. Results might include visually similar images, the product in shops, the name of a plant or building, or a translation of text in the photo.
Google Lens is available in the Google app, Chrome, Google Photos and the camera on many Android phones. Circle to Search, launched in 2024 on some Android devices, lets users circle anything on screen to search it. Google also offers multisearch, where people combine an image with words, such as a photo of a shirt plus “in green”. This is part of a wider move towards multimodal search.
Other platforms offer visual search too. Pinterest Lens lets users search for ideas from a photo, and Bing has its own visual search feature. Retailers also add visual search to their own apps so shoppers can find similar products. The underlying ideas are the same across these tools.
Why it matters for SEO
Visual searches are common for shopping, home décor, fashion, plants, food and travel. When the results lead to a product or page, the business whose images Google understands best is more likely to be shown. Visual search also relies on the same signals that power Google Images SEO, so the work overlaps.
How to optimise for visual search
- Use clear, original photos: well-lit images showing the product from several angles are easier to match.
- Keep images crawlable: use standard img elements and do not block image files in robots.txt.
- Describe images in text: helpful alt text, captions and nearby copy confirm what the image shows.
- Add product data: product schema and a feed in Google Merchant Center help Google connect an image to price and availability.
- Keep local data accurate: photos and details in a Google Business Profile help Lens identify shopfronts and venues.
- Optimise image quality and speed: compress files without making them blurry.
Limits and realistic expectations
Site owners cannot directly control which images Lens chooses, and there is little separate reporting for visual search traffic. Some of it appears in Search Console under image or web search. The practical approach is to make images high quality, crawlable and well described, which helps every type of image search.
Common mistakes
- Using only generic stock photos that appear on many other sites.
- Showing products only in lifestyle images where the item is small or hidden.
- Loading images in ways crawlers cannot see.
- Missing or inaccurate product information.
Key Takeaways
- Visual search uses an image rather than typed words as the query.
- Google Lens identifies objects, products, text and places in photos.
- Clear, original, crawlable images are the foundation of visual search visibility.
- Product schema and Merchant Center data link images to shopping results.
- Visual search overlaps heavily with Google Images SEO.
Related Terms
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