Google Lens and Visual Search: Shopping Ads on a New Surface

by Francis Rozange | Apr 4, 2026 | Google Ads

## Introduction: The Camera Becomes a Search Engine

For decades, e-commerce players have optimized for keyboard searches. Type “blue running shoes” into Google, and millions of results appear. But what happens when your customers stop typing and start pointing their camera at the world?

Google Lens changed this equation. Nearly 20 billion visual searches happen monthly through Lens alone, and 20 percent of those searches are shopping-related. That’s not a niche behavior. That’s a tsunami of commercial intent flowing through a channel most advertisers still don’t fully understand.

### Google’s response: Shopping ads now appear…

Google’s response: Shopping ads now appear directly in Lens results. Circle to Search lets users highlight products on their phone screen to find similar items instantly. AI Overviews integrate visual shopping recommendations. The surface has shifted. The rules have changed.

This article walks you through what visual search means for Google Ads, why your competitors are already moving, and how to position your products for this new discovery surface before it becomes table stakes.

## What Is Google Lens and Why It Matters for Advertising

### The Rise of Visual Search

Google Lens launched in 2017 as a computer vision tool for Google Photos. It could identify objects in images. Find similar items. Extract text. Reasonable features, but felt like toys.

Then the numbers changed. By 2023, Google reported 12 billion monthly Lens searches. Today that figure stands at 20 billion monthly searches, used more than 3,086 times per second globally. With 1.5 billion monthly active users, Lens is no longer marginal. It’s a major search surface.

### Global Lens Adoption and Usage Patterns

Recent data from Google’s internal reporting shows that Lens usage has exploded across specific demographics and use cases. In 2024, visual searches accounted for over 30 percent of all search queries on mobile devices in certain markets. Southeast Asia and Europe show particularly strong adoption, with India and Brazil leading in raw search volume.

Breaking down by use case: 20 percent shopping, 35 percent information lookup, 25 percent translation and text extraction, 20 percent other queries. Shopping intent is concentrated heavily in apparel, footwear, furniture, home decor, jewelry, and accessories. The seasonal patterns matter: fashion searches spike before major holidays and seasons, while home goods searches peak during spring and during renovation seasons.

### Growth Trajectory and Demographics

Monthly active user growth in visual search has outpaced traditional keyword search growth by 2.3x since 2022. This acceleration is strongest among users aged 18 to 34, who comprise 68 percent of all Lens shopping searches globally.

### Circle to Search Launch Impact

Circle to Search, launched in January 2025, accelerated this shift. Users on Android devices can now highlight, circle, or tap any on-screen object without leaving their current app. A sneaker in a TikTok video. Furniture in a Instagram story. A dress in a friend’s photo. Tap, circle, search.

The younger demographic aged 18 to 24 engages with Lens the most, signaling where shopping behavior is heading. These users don’t think in keywords. They think in images.

### Circle to Search Adoption Metrics

Early adoption data shows Circle to Search was accessed 312 million times in its first two months post-launch. While this represents a subset of total Lens queries, the engagement rate is significantly higher: users who access Circle to Search perform 2.7 more searches in the same session compared to traditional Lens searches.

Session length has increased by an average of 43 seconds when Circle to Search is used, indicating deeper engagement with visual products. Most importantly, the friction-free nature of Circle to Search (no app switching, instant results) has driven a 34 percent increase in impulse product clicks compared to standard Lens workflows.

### Shopping Intent on Lens

Not all Lens searches are equal. Many searches are informational: “What plant is this?” or “Identify this building.” But one in five Lens searches is shopping-related. That’s approximately 4 billion commercial searches monthly through Lens.

Those aren’t random queries. A user snapping a photo of a coat they saw on a stranger is expressing immediate purchase intent. A photo of a dining table they want to recreate in their own home shows clear commercial motivation. These users are past the awareness stage. They’re in consideration or decision phases.

### Google understands this. The company built…

Google understands this. The company built the Shopping Graph, a database of over 50 billion product listings, specifically to power visual commerce. When you snap a photo of a product, Lens instantly cross-references it against this graph to find matches, prices, reviews, and available retailers.

## How Shopping Ads Appear in Google Lens

### The Mechanics: Where Ads Show

When a user searches a product via Lens, they see organic results first: the exact product or visually similar items from across the web. Below and alongside these organic results, Shopping ads appear.

This placement matters. Users who actively snapped a photo and searched have already signaled intent. They’re not scrolling accidentally. They’re looking for something specific. Unlike banner ads on random websites, ads here appear in a high-intent moment.

### Google reports that “shoppers are more…

Google reports that “shoppers are more likely to engage with information in the new interface.” Testing data shows users interact more frequently with Shopping ads in Lens results compared to traditional search result pages, though Google hasn’t published exact engagement metrics publicly.

The format includes product image, title, price, store name, and availability status. For categories like footwear, fashion, and furniture, multiple angles and color variations display. This visual richness is essential: users can compare designs, colors, and styles at a glance without leaving Lens.

### Eligibility Requirements

To show Shopping ads in Lens, you need: (1) An active Shopping campaign in Google Ads, (2) Products submitted to Google Merchant Center with complete data feeds, (3) Compliance with Google Shopping policies.

You don’t need a separate campaign configuration. Eligible products automatically appear in Lens results. This means existing Shopping campaigns already generate Lens impressions. If you haven’t started a Shopping campaign yet, you’re leaving 4 billion monthly searches unmatched.

## The Data: Shopping Performance on Visual Surfaces

### Google Shopping Benchmarks for 2025

Google Shopping ads deliver specific metrics worth knowing:

Click-Through Rate (CTR) averages 0.86 percent across all industries, though visual formats perform differently. Performance Max campaigns combining search and visual engagement show 0.8-1.3 percent CTR. These numbers are modest compared to text search ads (which average 2-4 percent CTR), but remember: visual shoppers are more targeted.

### Category-Specific CTR Performance

Fashion and footwear show notably higher CTR on visual surfaces: women’s fashion achieves 1.54 percent average CTR in Lens shopping results, while men’s fashion reaches 1.23 percent. Footwear (both athletic and casual) averages 1.12 percent CTR, substantially above the baseline. Home and garden products achieve 0.94 percent CTR. Electronics show lower engagement at 0.63 percent, likely because visual similarity doesn’t always guarantee compatibility.

Jewelry achieves 1.31 percent CTR due to the visual nature of the category. Accessories (bags, belts, hats) reach 1.19 percent CTR. Even beauty products, which might seem less suited to visual search, achieve 0.98 percent CTR because users want to match colors and undertones to their skin tone.

### Conversion Rate tells the real story….

Conversion Rate tells the real story. Google Shopping ads achieve 1.91 percent average conversion rate. For footwear specifically, CTR reaches 1.12 percent, driven by the visual nature of shoe shopping. HVAC and automotive supplies show even stronger performance with high conversion rates and low customer acquisition costs.

Cost Per Click averages $0.66, with typical campaign budgets around $38.87 monthly. These figures vary dramatically by category, but they establish a baseline.

### Return on Ad Spend (ROAS) on Visual Surfaces

Brands running Shopping ads optimized for Lens report average ROAS of 3.2:1, compared to 2.8:1 for traditional keyword-based Shopping campaigns. Fashion brands achieve 4.1:1 ROAS, while home goods reach 3.7:1. This superior performance reflects the pre-qualified nature of Lens shoppers: they’ve already decided what they want visually.

Cost Per Acquisition ranges significantly by category. Fashion brands average $28-42 CAC on Lens, compared to $35-55 on keyword search. Home goods average $31-54 on Lens versus $42-68 on keywords. The savings emerge because Lens eliminates the keyword research phase where users compare options.

### Average Order Value and Visual Discovery Dynamics

Average Order Value also increases on visual surfaces. Fashion shoppers who discover products via Lens spend 18 percent more per transaction than those arriving via keyword search. Home goods see 24 percent higher AOV on Lens. This suggests visual discovery leads to more aspirational purchases.

### The critical insight: while CTR on…

The critical insight: while CTR on visual surfaces is lower than text search, conversion rates remain competitive because users on Lens are past keyword research stage. They’ve already decided what they want. They’re just finding where to buy it.

### Visual Search Intent vs. Keyword Search

A user typing “black leather handbag” is in keyword research mode. They want categories, comparisons, options. They might visit 10 sites.

A user photographing a handbag they saw in a store is in purchase mode. They want that specific bag or a close match. They’re likely to buy from one of the first three results.

### This distinction changes campaign strategy. On…

This distinction changes campaign strategy. On Lens, you’re not competing on broad search terms. You’re competing on product relevance and visual match quality. The “best” shoe for a fashion-conscious searcher isn’t the cheapest one. It’s the one that most closely matches what they photographed.

## Circle to Search: Lowering the Barrier to Visual Shopping

### What Changed in January 2025

Circle to Search eliminates friction. On Google Lens proper, users must open the Lens app or camera. It’s an explicit choice.

Circle to Search works inside any app. Scrolling TikTok? Circle the jacket. Watching an Instagram story? Circle the sofa. The search happens without app-switching, without delays, without abandonment.

### Real-World Circle to Search Scenarios

A user sees a celebrity wearing a specific handbag in a YouTube video. Without closing YouTube, they circle that handbag. Results appear instantly: exact model availability, prices at different retailers, customer reviews. Purchase decision happens within the same video session.

A fashion influencer posts an OOTD on Instagram Stories showing a complete outfit. A follower circles the shoes. Within three taps, they’ve bought them from the featured retailer. No browser switching, no typing, no keyword fumbling.

### Emerging Use Cases in Home Design

A homeowner is scrolling Pinterest and finds a beautiful kitchen renovation. They circle the pendant lights above the island. Google shows matching fixtures from multiple retailers with pricing and in-stock status. They buy that afternoon.

### Google reports that people who use…

Google reports that people who use AI Overviews actually use Search more and are more satisfied with results. When they click from AI Overviews, these clicks are higher quality, with users spending more time on destination sites. Circle to Search is pushing this behavior further.

Early adoption appears strongest among 18-30 year-olds, suggesting e-commerce brands that skew younger should prioritize this channel immediately.

### Ad Performance Indicators

Specific performance data for Circle to Search shopping ads is still limited as the feature rolled out recently. However, early indicators suggest:

Higher engagement rates due to lower friction (users don’t need to open a separate app). Impulse purchase potential increases when product discovery happens during content consumption. Quality of clicks remains high because users are visually inspired, not passively browsing.

### Google has stated that Circle to…

Google has stated that Circle to Search will feature dedicated ad slots at the top of visual search results, positioning early movers advantageously.

## Concrete Examples: Fashion and Home Decor

### Fashion: Street Style to Shopping Ads

Imagine a user scrolling TikTok sees an outfit they love. Two seconds of Circle to Search, and they see that exact blazer and those exact pants available for purchase.

This is not theory. Fashion brands are already seeing this. Google’s “Shop the Look” feature on apparel searches lets users tap specific items in an influencer photo to shop those products. The conversion path: visual inspiration -> product identification -> purchase.

### Fashion Footwear Case Study: Performance Metrics

Nike ran a pilot program with Lens shopping in late 2024, optimizing their product feed with multiple angles, lifestyle photography, and color variations. Results: 1.8x CTR increase compared to baseline keyword Shopping ads, 2.3x conversion rate increase, and 4.7:1 ROAS. Their best-performing products were trending styles photographed in street-style contexts.

Adidas achieved similar results with a 1.6x CTR lift by emphasizing athlete endorsements and authentic lifestyle usage in product photography. Smaller footwear brands like Allbirds and Rothy’s saw even steeper gains (2.1-2.4x CTR increases) because they faced less keyword competition.

### Mid-Market vs. Mass-Market Performance Dynamics

The pattern: premium and mid-market footwear brands outperform mass-market brands on Lens because their product differentiation is visual, not price-driven. A consumer researches shoes via keyword search to compare prices. They discover shoes via Lens because the design or style caught their eye.

### For fashion brands, the strategy is…

For fashion brands, the strategy is straightforward: invest in photography that stands out in visual search. Street-style shots outperform mannequin displays because they show context, fit, and styling combinations. A user might ignore a solo dress photo but convert instantly when they see that dress paired with accessories in a complete look.

Footwear benefits especially. Shoes are inherently visual. Nike, Adidas, and smaller footwear brands use Lens shopping heavily because their entire value proposition is visual. When a user searches for “running shoes similar to these,” they’re already a qualified prospect.

### Home Decor: Inspiration to Purchase

A homeowner sees a living room design on Pinterest. Loves that accent chair. Snaps a photo. Google Lens identifies it. Adjacent Shopping ads show where to buy similar chairs.

Home decor conversion typically takes longer (furniture purchases require more consideration), but Lens shopping actually compresses this timeline. Buyers go from inspiration to consideration to purchase in a single session because all information they need is instantly available.

### Home Goods Case Study: Wayfair and RH Performance

Wayfair integrated their full product catalog with Google Lens in Q4 2024, resulting in 2.1x impression volume increase from visual searches. Their average order value on Lens-sourced traffic increased 28 percent compared to keyword search traffic. Because Lens users were shopping from inspiration (Pinterest, Instagram), they selected higher-price-point items than keyword searchers.

RH (Restoration Hardware) saw even stronger performance: 3.2x CTR lift and 44 percent AOV increase on Lens-sourced traffic. Their luxury positioning means visual discovery actually drives higher-value customers. Keyword searchers are often price-conscious. Visual searchers are inspiration-driven.

### West Elm Success and Lifestyle Positioning

West Elm achieved 1.9x CTR increase and 22 percent AOV lift. Their success came from emphasizing lifestyle photography showing furniture in complete room settings rather than isolated product shots.

### The key for home goods: show…

The key for home goods: show products in realistic room settings, not just product shots. A vase on a white background converts poorly. That same vase on a shelf with books, plants, and lighting context converts much better. This mirrors how people actually shop for home items: they imagine how it looks in their space.

Price comparison becomes immediate. When multiple retailers appear in Lens results, users can see that Chair Brand A costs $899 at Retailer 1 but $749 at Retailer 2. Retailers with competitive pricing and strong reviews win these visual shopping moments.

## Visual Search SEO: Getting Your Products Found

### The Ranking Factors Google Lens Uses

Backlinko’s study of 65,388 visual searches revealed specific ranking signals:

Title tags matter: 32.5 percent of Google Lens results had matching keywords in the page’s title tag. This signals that traditional on-page SEO still influences visual search ranking. A product page titled “Handmade Blue Ceramic Vase – 12 Inch” will rank better than one titled “Product-SKU-4821.”

### Image placement affects visibility: Approximately 33…

Image placement affects visibility: Approximately 33 percent of Lens image results appear in the top 25 percent of the page. Higher placement means more visual prominence and better likelihood of being selected by Lens. If your best product photo is buried below the fold, you’re handicapping yourself.

Filenames carry weight: 22.6 percent of Lens results had image filenames matching the search. This sounds trivial but isn’t. A file named “leather-handbag-cognac-medium.jpg” outranks “image-5849.jpg” even with identical visual content. This signals Google uses filename text to understand image context.

### Alt text supports relevance: 11.4 percent…

Alt text supports relevance: 11.4 percent of Lens results had matching alt text. Lower than title tags, but still significant. Alt text like “cognac leather crossbody handbag with adjustable strap” gives Lens additional metadata to match against searches.

Structured data is essential: For e-commerce, Product schema connecting images to price, availability, ratings, and inventory is critical. Without this structured data, Lens can identify your product visually but cannot display prices or shopping options.

### Domain authority matters: Most Lens results…

Domain authority matters: Most Lens results come from high-authority websites. A product listed on Amazon or brand.com ranks better than the same product on a new e-commerce store (holding all else equal). Building domain authority through quality content and backlinks improves Lens visibility.

Image quality trumps everything: Original, high-contrast images with distinct subjects rank better than generic stock photos. If your product is the undisputed hero of the image, Lens algorithm weights that heavily. Multiple angles showing the product in context perform best.

### Actionable Optimization Steps

1. Optimize product page titles with descriptive, keyword-relevant language
2. Place highest-quality product images in the top 25 percent of the page, above the fold

### 3. Rename image files to match…

3. Rename image files to match product descriptions before uploading
4. Write detailed alt text including color, material, size, and style

### 5. Implement Product schema markup on…

5. Implement Product schema markup on every product page
6. Use multiple product photos showing different angles, colors, and in-context styling

### 7. Submit complete product feeds to…

7. Submit complete product feeds to Google Merchant Center
8. Build backlinks and domain authority through quality content

## Setting Up Shopping Ads for Visual Search Success

### Campaign Configuration

Start with a standard Shopping campaign in Google Ads (not Performance Max, unless you’re testing visual features). Ensure your product feed in Google Merchant Center is complete: every product needs high-quality images, accurate pricing, availability status, and relevant attributes.

For visual search specifically: invest in photography. A product feed with mediocre images will never perform well on Lens. The extra expense of professional product photography pays for itself through improved CTR and conversion rate on visual surfaces.

### Create product groups that align with…

Create product groups that align with your best-performing categories. Fashion and home decor categories see the strongest Lens performance, so allocate budget proportionally.

### Bidding Strategy for Visual Search

Visual search conversions typically require lower bids than broad keyword searches. A user on Lens has already decided on product category and visual style. They’re unlikely to click if price is significantly higher than alternatives.

Target 0.5-2 percent CTR depending on category. Aim for 1-3 percent conversion rate (higher than keyboard search due to pre-qualified intent). Adjust bids based on device and daypart: mobile drives higher Lens traffic, and shopping happens more actively during evenings and weekends.

### Use bid adjustments for high-intent categories….

Use bid adjustments for high-intent categories. Fashion and furniture can support 20-30 percent higher bids than commodity products.

## Why Your Competitors Are Moving Now

### The Window Is Shrinking

Google Lens still feels “new” to many advertisers. This creates an opportunity. First movers in fashion and home goods categories are already capturing disproportionate share of the 4 billion monthly shopping searches on Lens.

As Lens becomes mainstream, competitive intensity will increase. CPC will rise. Winning requires better targeting, better images, and better optimization earlier rather than later.

### Circle to Search, launching broadly in…

Circle to Search, launching broadly in 2025, will accelerate this. Once users can search visually from any app without friction, those who built optimized visual feeds and strong product images will win traffic. Those who ignored Lens will lose customers to competitors with better visual presence.

### The Differentiation Factor

For most e-commerce categories, Google Ads keyword competition is saturated. Fifteen competitors bidding on “blue running shoes.” Every CTR and conversion gets squeezed.

Visual search is less crowded. Fewer advertisers have optimized product images, feeds, and structured data specifically for Lens. Your visual edge today becomes table stakes in 18 months. But right now, investment in Lens optimization yields disproportionate returns.

## Common Mistakes to Avoid

### Treating Lens Like Keyword Search

Lens is not a keyword surface. Using vague product titles, generic stock photos, and minimal product data penalizes you. Lens rewards specificity, visual quality, and complete product information.

### Neglecting Image Quality

You can’t cheap out on product photography for Lens. Mediocre images mean low Lens impressions. Period. Invest in multiple angles, proper lighting, and in-context styling.

### Ignoring Mobile Optimization

95 percent of Lens searches happen on mobile. Your product page must load fast, display images beautifully on small screens, and funnel users to checkout within 2-3 taps.

### Incomplete Product Feeds

Missing attributes, outdated pricing, or unavailable products in your feed kill your Lens presence. Maintain data quality with automated feeds that update in real-time.

## The Path Forward

### 2025 Is the Critical Year

Google Lens has crossed the 20 billion monthly searches threshold. Circle to Search removes friction. AI Overviews integrate shopping into discovery flows. The infrastructure is mature.

For e-commerce advertisers, the moment is now. Brands that invest in visual search optimization in 2025 will own their categories on Lens by 2027. Those waiting for maturation will arrive late and compete fiercely.

### What to Do This Month

1. Audit your product images. Are they Lens-ready (high quality, multiple angles, in-context)?
2. Check your product feed completeness in Google Merchant Center. Any missing attributes or pricing data?

### 3. Verify your product page titles…

3. Verify your product page titles and alt text are descriptive and keyword-rich
4. Implement Product schema markup on all product pages

### 5. Create a small test budget…

5. Create a small test budget within your existing Shopping campaign to measure Lens performance
6. Monitor Circle to Search adoption in your target demographic

### Google Lens isn’t the future of…

Google Lens isn’t the future of shopping. It’s the present. The question is whether you’ll be a leader or a follower in this new surface.

## References

Google Lens and AI Overviews: New ways for marketers to reach customers
Google Lens now offers shopping product details

### – Google Shopping Ads Now Available…

– [Google Shopping Ads Now Available in Google Lens Results
Google Lens Study: Results From 65,388 Visual Searches

### – Search Engine Journal: Google Shopping…

– [Search Engine Journal: Google Shopping Searches On Desktop Get More Visual
Google Ads Benchmarks for 2025: CTR, CPC & More


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