Blog Index

How Brands Can Stay Ahead with Visual Search in 2025

Jun 23, 2025
SEO
by Kerri Frederick
Visual Search best practices

Search is evolving—again. This time, the shift isn’t just in what users type, but in how they look.

Visual search is no longer experimental. It’s quietly becoming part of everyday discovery across e-commerce, lifestyle, and mobile-first digital experiences.

From snapping a photo of a product to scrolling through similar items on Pinterest, consumers increasingly turn to images when they are looking for quick, intuitive information..
And while text search still dominates, image-driven queries are carving out a space that smart brands and any forward-thinking digital marketing agency in NYC can’t afford to ignore.

If you’re in a visually-driven industry and haven’t optimized for this yet, you’re already behind.

What Is Visual Search and Why It Matters

Visual search allows users to take or upload a photo of a product, place, or object and receive relevant results without typing a single word.
It’s powered by machine learning and computer vision, which analyze shapes, colors, textures, and objects within an image to understand what the user is looking for.

You’ve likely used it already:

  • Snap a picture of a jacket → get similar styles with purchase links.
  • Tap on a lamp in a Pinterest image → explore lookalike products across multiple brands.
  • Take a photo of a dish → get matching recipes from food blogs.

This technology is already integrated into Google Lens, Pinterest, Amazon, and Bing, and it’s changing how users interact with search.

Younger users increasingly expect fast, visual-first experiences, especially on mobile.
For brands focused on web design, product visibility, and SEO, this shift demands attention. It’s a new way to get discovered through images that speak louder than words.

How Visual Search Works

Visual search uses computer vision to understand what’s in an image. These systems examine visual content directly, along with additional information like alt text and adjacent text on the page.

They look for:

  • Objects, such as furniture, clothing, or electronics
  • Features, including shape, color, material, and size
  • Context, like the setting, lighting, or surrounding items

Once the system has identified what’s in the image, a visual search engine compares it to a massive index of similar visuals and returns the closest matches.

For example, if a user takes a photo of a black ceramic mug on a wooden table, a search engine might show similar mugs from product pages—especially if those images are clear, well-described, and placed in a relevant context.

How to Prepare Your Site for Visual Search

Choosing visual search isn’t as simple as publishing good photos. The search engines perceive and place your content by what they see and what is surrounding the image.

If you want your site to benefit from visual search, image quality alone isn’t enough. Here’s what your digital marketing strategy needs:

1. Utilize Clear, Pertinent Photos

Choose crisp, bright photos that center the main subject. Avoid overly editing, unnecessary backgrounds, or boring stock photos. Wherever appropriate, show the product in context and not in a silo against a white background.

2. Employ Descriptive Alt Text

Alt text helps search engines identify the elements of the image. Employ brief, descriptive terms. Outline the key characteristics like color, shape, or function, and include relevant keywords where appropriate.

Example: Matte black ceramic cup on wooden table

Not: image123.jpg or cool object

3. Add Structured Data

Use schema markup on product images. Provide information like product name, price, brand, and image URL. This added layer allows search engines to connect your content with image-based queries.

4. Give the Image Context

Don’t place an image on a page in a vacuum. Place it near surrounding text—like headings, descriptions, or captions—that confirms what the image is of.

5. File an Image Sitemap

An image sitemap gives search engines better access to your images. Add major image URLs and revise the file as your site grows.

Where Visual Search Is Already Working

Visual search is already working on major platforms and users—often without them even knowing it. It’s most obvious where appearance helps makes decisions in industries such as.

E-commerce

Amazon visual search tools like StyleSnap enable users to snap a photo and get instant recommendations from thousands of listings. This helps shoppers identify similar products online without typing a single character.

Fashion and Lifestyle

Pinterest visual search enables users to click on one item in an outfit and find similar pieces. This form of image discovery directs users from inspiration to checkout in seconds.

Home and Interior Design

Visual search allows consumers to find furniture, lighting, or decor by simply looking at a room or object. Bing visual search and Google Lens can identify styles, products, and arrangements in everyday images—making discovery easier and more intuitive.

Food and Recipes

  • Consumers can snap pictures of food and discover similar recipes.
  • Google visual search often identifies trend meals and links to step-by-step cooking content.
  • These are not experiments. They’re common tools that users already employ.
  • And they show how visual search can drive actual traffic to ready sites.

Stay Away from These Visual Search Pitfalls

Even well-designed sites can miss out on visual search traffic if glaring details are overlooked. Here’s what typically goes wrong:

1. Low-Quality or Generic Images

Blurry photos, generic stock photos, or cluttered backgrounds confuse search engines and users both. Visual search depends on attention and clarity.

2. Missing or Blatant Alt Text

Unless your images have blatant alt attributes, search engines are unaware of what they show. Use short descriptions that specify what is in the photo—not product names or model numbers.

3. No Structured Data

Without schema markup, high-quality product images will remain invisible to visual search. Schema connects the image to significant product details like brand, color, and price.

4. Isolated Images Without Context

Putting an image in the middle of a page without any supporting text decreases its significance. Always put images with captions, product descriptions, or the same type of content.

5. No Image Sitemap

If your photos aren’t in a sitemap, they’re more difficult for search engines to locate and index. That’s particularly significant on big or media-intensive sites.

Make Your Brand Visible through Images

Visual search is already driving the way people browse, compare, and purchase. For visually-oriented industries, this isn’t something in the future. It’s an active channel that can generate related traffic and boost product visibility.

Getting it right doesn’t require new tools. It requires better images, tidy structure, and a thoughtful visual search SEO strategy that allows users and search engines to understand what your content is illustrating.

At Big Drop, we help brands create digital experiences optimized for the way users actually search today—including what they visually see, not just type. Need your content more discoverable via imagery? Let’s chat.

 

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