A customer sees a chair in a cafe, a tile in somebody’s bathroom, a dress at a wedding. They do not know what it is called. They photograph it and search with the picture.
That path bypasses keywords entirely, and for product brands in India it is a meaningful and almost entirely unoptimised channel. Almost nobody has thought about it, which is usually a good sign.
What is actually happening
Visual search takes an image as the query and returns visually similar items, text extracted from the image, and shopping results where the object looks like a product. On Android, selecting part of what is on screen does the same thing without leaving the app.
The important mechanic for you is this. When a visual match points at a product, it points at a page containing that image. Your image is the match and your page is the destination, which means both have to be in order for you to appear.
That is the whole optimisation problem. Your images have to be findable, and the pages holding them have to make sense.
Photography is the biggest lever and it is a business decision
Matching works better on clear subjects, which has practical consequences for how you shoot.
Shoot every product on a plain, uncluttered background, in even light, with the whole object in frame and in focus. That one photograph is your matching image, and it should exist for every product you sell.
Then shoot the rest for humans. In use, in context, at angles, with scale references. Those sell. The clean one matches.
The common failure in Indian catalogues is that the primary image is a styled lifestyle photograph with three other objects in it, or a composite with text and a discount badge laid over it. A picture with a price flash across it is poor for matching, and it is also wrong within a week of the price changing.
Shoot at high resolution and serve a sensible size. Images too small to carry detail match poorly, and images several megabytes in weight harm your page.
Make sure the images can actually be fetched
This is where most brands lose before anything else matters, and it is usually accidental.
- Do not block your image directory in robots.txt. This is common on sites where somebody once tried to stop hotlinking, and it removes you from image results entirely.
- Serve images from a crawlable location. If a content delivery network or an image service sits in front of them, confirm those URLs respond to a plain request and are not behind a token that expires.
- Do not lazy load the main product image out of existence. The primary image should be present in the HTML with a real source attribute, not swapped in by script after an interaction.
- Use stable URLs. If your image URLs change on every deployment, nothing accumulates.
- Publish an image sitemap if your catalogue is large, which is covered in sitemaps that scale.
The technical implementation on a JavaScript front end has its own pitfalls, and those are in image SEO in Next.js.
The page around the image does the explaining
A visual match tells a system that two pictures look alike. Everything else about what the object is comes from the page.
So the product page needs to answer, in text, what the thing actually is. The specific product name, the material, the dimensions, the colour as a word rather than only as a swatch, the finish, the model number, and what it is used for. A page whose entire description is an image carousel and a buy button cannot be understood by anything, visual search included.
Filenames and alt text matter here more than in ordinary image search, because they are part of how the image is understood. A file called product-final-2-copy.jpg contributes nothing. Alt text should describe the object as a person would, not list keywords. Doing this at catalogue scale without producing nonsense is its own problem, and we worked through it in AI-assisted alt text.
Product structured data is what lets the result carry price and availability rather than being an anonymous picture, so the fields have to be right. The Indian specifics of that sit in our piece on product schema, and the broader honest position on what markup does and does not achieve is in does schema markup help you get cited.
Text in images is read, which cuts both ways
Visual search extracts text from photographs. For a product brand this has two consequences.
Where you control the object, putting your brand name and model number legibly on packaging, labels and the product itself helps you be identified correctly rather than matched to a visually similar competitor. This is an unusual case where a physical design decision is also a search decision.
Where you do not control it, understand that a customer photographing a competitor’s product with a visible brand name is going to be shown that brand. Visual search is honest about what is in front of it, which means being the visually distinctive one matters.
Do not try to exploit this by embedding keyword text in your images. It produces ugly images, it does nothing useful, and text in images is not a substitute for text on the page.
Who this actually matters for
Be realistic rather than universal. Visual search is worth deliberate effort for categories where people see the object before they know its name.
Furniture and home decor. Tiles, sanitaryware, taps and fittings. Apparel, footwear and accessories. Jewellery. Lighting. Paint colours and finishes. Plants and gardening. Auto parts and accessories. Hardware and fasteners, where somebody holds up a component and needs the same one.
It matters much less for services, for software, for anything bought by specification rather than appearance, and for products people already know by name.
If you are in the first list, the clean primary photograph is worth doing across the catalogue. If you are in the second, read this and move on to something with a better return.
What is a waste of effort
Trying to optimise for the visual matching system itself. It is not documented in the way a ranking system is, it changes, and there is no set of tricks. Clear photographs of real products on crawlable URLs attached to descriptive pages is the entire strategy.
Buying a tool that promises visual search optimisation. There is nothing for it to do that good photography and correct hosting do not already do.
Watermarking every image heavily. It interferes with matching, it looks defensive, and it does not stop anyone determined.
Uploading the same photograph for twelve variants. If the colours differ, the photographs must differ, or visual search will send somebody to the wrong one.
Measuring this precisely. You will not get a clean report of visual search traffic. Treat it as part of your image and shopping traffic, and judge it by whether that traffic grows after you fix your catalogue photography.
The offline side nobody mentions
One genuinely useful consequence for retailers. If you have a physical store, the storefront, the signage and the interior are themselves photographable objects.
Making sure your business profile carries good current photographs of the actual premises, exterior and interior, helps somebody standing outside identify you, and helps somebody who photographed your shopfront find you afterwards. It is a small thing and it costs one afternoon with a phone camera.
A sensible order of work
- Check that your images are not blocked in robots.txt and that image URLs respond to a plain request.
- Confirm the primary product image is in the HTML rather than loaded by script.
- Audit your catalogue for products whose primary image is a lifestyle shot, a composite or a price graphic.
- Reshoot those with a clean single-object photograph, and keep the styled images as secondary.
- Give every image a descriptive filename and human alt text.
- Make sure the page states material, dimensions, colour, finish and model in words.
- Fix product structured data so results can carry price and availability.
- For retailers, refresh the premises photographs on your business profile.
The related question of how shopping assistants interpret all of this is in AI product search for ecommerce, and the marketplace side in Amazon and Flipkart listing optimisation.
If you want your catalogue audited for this, get in touch.