How to Use Image & Visual Search to Boost Product Discovery and Sales

How to Use Image & Visual Search to Boost Product Discovery and Sales

Table of Contents

Visual search lets shoppers find products by uploading photos instead of typing. It’s faster and more natural.

Here's why it matters: Google Lens handled over 100 billion visual search queries in 2025

This guide shows you how to optimize visual search marketing across the key platforms and drive more product discovery.

Understanding Visual Search Platforms

Most tools require minor adjustments, but the core best practices are applicable everywhere. 

Google Lens is the leading player, with 12-20 billion monthly searches, making it your top priority. People use Lens to identify products and translate text in 100+ languages. 

Pinterest Lens is perfect for discovery. It identifies over 2.5 billion objects, making it ideal for use in fashion, home decor, and DIY projects. Pinterest users plan purchases and look for inspiration. They're high-intent shoppers.

Amazon StyleSnap brings visual search into shopping. It works with Amazon's massive catalog. When someone uploads an outfit photo, StyleSnap finds similar items to buy now. 

Other tools include Bing Visual Search, Snapchat Scan, TinEye, and Syte.

How to Optimize Your Product Images for Visual Search

Your images are the foundation of successful visual search.

Start With High-Quality Visual Content

Your product images should be at least 1000 pixels long. Anything less hurts your chances in visual search results.

Show products from multiple angles. Add lifestyle shots showing items in use. A living-room shot gives Google Lens more context than a plain background. 

Use clear, consistent lighting so that recognition software can accurately identify products. 

In fashion retail, image and visual search help shoppers find their next piece. A customer uploads a photo of a celebrity wearing a crisp double-breasted suit, and AI finds similar options in different fabrics and prices. Tag suits with lapel, buttons, and fabric so they’re easier to match.

Finally, compress and convert to WebP with your CDN/plugin or Google’s Squoosh tool, and keep files under ~200KB so pages remain fast.

Outside your content management system, try an app like Google’s Squoosh tool. It’s an incredible free app that finds that compression sweet spot. Keep images under 200KB when possible.

Write Alt Text That Matches Search Intent

Alt text informs search engines what your image is about. 

Be specific. Instead of "sofa," write "royal blue velvet mid-century modern sofa with tufted back." Include color, material, style, and brand.

Then, think about search intent. "Red running shoe" becomes "Nike Air Zoom Pegasus red running shoe size 10." More specific means better matches.

Keep it natural. Don't write "blue dress, blue cocktail dress, blue formal dress." That's stuffing. Write like you're describing to a friend. "Navy blue cocktail dress with lace sleeves and A-line skirt" works great.

Add alt text to every product image, and make sure the photo color matches the alt text, as mismatches hurt trust.

Tag Images With the Right Metadata

File naming matters. Use "womens-red-leather-handbag-crossbody.jpg" instead of "IMG_001.jpg." Search engines and crawlers can read filenames.

Image titles and captions add context. Include the brand name, product category, or use cases. Every bit helps.

Group similar products together and use a consistent color palette and style. This helps users and search engines understand relationships between products.

Technical Implementation for Visual Search Success

The technical side is simpler than it sounds, especially if you use SEO tools like Rank Math or Yoast. 

Implement Structured Data and Schema Markup

Structured data tells search engines precisely what they see. Use Product schema markup with name, image URL, price, and availability.

ImageObject schema adds more detail. Include thumbnail URLs, dimensions, and licensing info. More context means better matches.

This should be part of your daily eCommerce SEO strategy. All you need to do is add this schema using JSON-LD code. Most eCommerce platforms have plugins for this, so you don’t have to write any code.

Test this with Google's Rich Results Test tool and fix errors before your launch. Good structured data gets you rich snippets in search results.

Create and Submit an Image Sitemap

An image sitemap shows search engines all your images. Most eCommerce platforms generate these automatically.

Submit the sitemap to Google Search Console. This tells Google where to find your images, helping it index them faster.

Update your sitemap when you add products. Set automatic updates or use SEO tools that generate sitemaps so you don’t forget. 

Optimize for Mobile Visual Search

About 50% of searches happen on mobile devices. That means mobile optimization isn't optional. It should be your target. After all, if you optimize for low-speed mobile, then your website and product pages will load even faster on a desktop with gigabit or fibre internet. 

Use responsive images that serve different sizes based on the device. A phone needs smaller files that load fast.

Next, test on real mobile devices. What seems fast on your computer might crawl on a phone. Google's mobile-first indexing means mobile experience affects rankings.

Finally, make the shopping experience smooth for your audience. On mobile, that’s big buttons, easy-to-read text, and zoomable images. Make sure there’s sufficient spacing between buttons and pictures. When someone uses Google Lens on their phone and lands on your site, they should convert easily.

Ready to Make Your Products Easier to Find_

Platform-Specific Optimization Strategies

Different platforms need different tactics.

Optimizing for Google Lens and Google Images

Place important product images at the top and follow Google Images' best practices. Use proper alt text, descriptive filenames, and matching page content. Google examines the text surrounding images for context.

The Google Shopping Graph has over 35 billion product listings. Submit your product feed to Google Merchant Center. This connects your store to Google's shopping features.

Many Lens results today show AI overviews. So make sure images and content are clear and accurate for AI summaries.

Maximizing Pinterest Visual Discovery

Pinterest wants vertical images. Use a 2:3 aspect ratio (like 1000x1500 pixels). These get more attention in feeds.

Rich Pins sync info from your site to Pinterest. This includes things like pricing and availability. Setting these up requires adding code to your site.

Write detailed Pin descriptions with keywords. Pinterest needs text to understand images, so include multiple relevant terms naturally.

Visual search also works in travel. Upload an Instagram motorhome and tools like RV rental in Vancouver can match models, pricing, and availability if your images have good metadata. 

Leveraging Amazon and Retail-Specific Visual Search

Amazon StyleSnap focuses on fashion. Tag products thoroughly. Include fabric type, fit, occasion, and style descriptors.

Other retailers, such as Walmart, Target, Best Buy, and Ulta, are also building visual search capabilities. The basics remain the same: high-quality images, accurate descriptions, and proper tags.

Keep image standards consistent across platforms. This makes management easier and builds trust with your target audience.

Content Strategy to Support Visual Search

Great images need great context. 

Lifestyle imagery, or showcasing products in their natural setting, is more effective than displaying them on a standalone white background. Show a lamp in a bedroom.  If you’re selling an outfit, showcase it on a model in a real setting. Context helps apps and search engines understand usage.

Plus, this lifestyle imagery helps your website visitors imagine the product. They can visualize using it or seeing it in their home or office. The more they see it, the more this creates confirmation bias that it’s the right product for them.

User-generated content also works great. They act as real-world images, which can be more convincing than a studio or rendered image. So encourage customers and influencers to share photos and tag your brand. 

Modern consumers use image and visual search for real results, especially in health and wellness. 

These UGC images provide raw evidence that your product is effective. That’s why these are common in health and fitness. For example, people researching Zepbound weight loss prescription use before-and-after photos to see transformations. This builds trust through authentic imagery. 

ZepBound Before and After - Builds trust through authentic imagery

Before and after photos
Image Source

Before-and-after images work well for all transformational products. Home renovations, weight loss, and style makeovers. 

Don’t think that visual search doesn’t work for your brand because it’s a technical niche. For example, in the financial sector, SoFi's VA loans page can appear when someone searches "veteran homeownership" images. Visuals that connect with specific moments attract the right audience and turn image searches into engagement.

SoFI uses visual imagery to increase discoverability and engagement.

SoFI uses visual imagery to increase discoverability and engagement.
Image Source

Track Results and Stay Ahead

Track visual search performance through Google Search Console, SERP analysis, and local search data. Review your business listings and on-page copy to be sure visuals align with your SEO goals.

New tech like OCR and Cloud Vision API is making search smarter. Apps such as CamFind, ASOS’s Style Match, and AI-powered boards on Poshmark show how personalization is changing visual discovery.

Final Thoughts

Visual search marketing is no longer optional. Billions of Google Lens and Pinterest searches make image optimization essential for product discovery. Start with quality images, descriptive alt text, structured data, and mobile optimization, then layer platform-specific tactics for Google, Pinterest, Amazon, and other retailers.

Don’t forget that it's not just about appearing in searches. It's about matching customer intent. Visual searchers are often ready to buy because they know what they want. So give them the visual content and info they need.

FAQs

What is visual search marketing?

Visual search marketing uses image recognition so people can find products by uploading photos instead of typing. Tools like Google Lens and Pinterest Lens match pictures to similar items, making search feel more natural.

How do I optimize product images for Google Lens?

Use high-resolution images (minimum 1000px). Add descriptive alt text with product details. Add structured data using Product schema markup. Put pictures near the top of pages. Compress files for fast loading and test images on Google Lens.

Does visual search work for all product types?

Visual search works best for products with distinct features, such as fashion, furniture, home decor, and beauty. It's expanding to more categories. Electronics, food, and automotive parts are becoming more discoverable as AI improves.

How long does it take to see results from visual search optimization?

Simple updates like alt text and structured data can show impact within a few weeks after Google recrawls. Building strong visibility usually takes two to three months, depending on competition and image quality.

Ready to Make Your Products Easier to Find_

Author Bio

Jeremy

Jeremy

Jeremy is co-founder & CEO at uSERP, a digital PR and SEO agency working with brands like Monday, ActiveCampaign, Hotjar, and more. He also buys and builds SaaS companies like Wordable.io and writes for publications like Entrepreneur and Search Engine Journal.

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