A customer points a phone at a product, a storefront, or a piece of equipment. Google tries to understand the picture, and your website may become part of the answer. Until recently, that behavior was difficult for site owners to separate from ordinary search traffic. Google Search Console now reports web multimodal searches, including activity from Lens, Circle to Search on Android, image uploads to Google Search, and Chrome’s “Search this image” feature.

This is not a new ranking shortcut. It is a new window into how people discover businesses when they begin with an image instead of a typed phrase. For product sellers, visual services, tourism businesses, makers, repair companies, designers, restaurants, real estate teams, and any company whose work is easier to show than describe, that window is worth opening.

Customers are searching with cameras now

Traditional search begins with words. Visual search often begins with uncertainty. A person may not know the name of an object, the style of a fixture, the model of a replacement part, or the phrase that describes a finish. A camera gives Google the starting point.

That changes the shape of intent. Someone photographing a damaged component may be looking for a replacement. Someone circling a lamp in a room photo may be comparing styles. Someone scanning a menu item, landmark, plant, fabric, or handmade product may be trying to identify it, buy it, or find a nearby business that offers something similar.

Google’s September 24 announcement says these searches are now included in both the Search results performance report and the Generative AI features report in Search Console. If a site receives enough of this traffic, the new multimodal search type filter can isolate it.

What multimodal search reporting actually tells you

The report can show the same core performance signals site owners already use: impressions, clicks, click-through rate, position, pages, countries, devices, and dates. The difference is the search behavior being filtered. Instead of blending camera-led discovery into the larger performance total, the filter lets you examine it as its own channel.

Which pages are earning visual discovery

A product page, gallery, tutorial, location page, or case study may be appearing for visual searches even when its ordinary keyword performance looks modest. That is useful because it identifies pages whose images are doing real discovery work.

Whether visual traffic is growing or fading

Compare recent periods instead of reacting to one number. A rise may follow stronger product photography, a new gallery, better image indexing, or seasonal interest. A decline may point to outdated inventory, removed images, weaker mobile pages, or competitors publishing clearer visual evidence.

Which devices and markets matter

Camera-led searches naturally favor mobile behavior, but assumptions are not analysis. Device and country filters can show where the demand actually appears. That matters for businesses serving tourists, multilingual audiences, or shoppers who move between in-store discovery and online research.

The report is not an image SEO score

A new filter can quickly become another dashboard people try to “get green.” That would miss the point. Google does not present multimodal reporting as a grade, and it does not promise that changing one image field will produce traffic.

Visual visibility still depends on the page around the image. Google needs to crawl the page, understand the subject, connect the picture to useful text, and decide that the result helps the searcher. A beautiful photo on a thin, slow, confusing page is still attached to a thin, slow, confusing page.

The useful question is not “How do we raise the multimodal number?” It is “What visual questions are customers asking, and do our pages answer them better than a generic image result?”

What strong visual pages have in common

The image is specific, not decorative

Show the product, result, location, process, or problem clearly. A real before-and-after project, an accurately photographed part, or a detailed product angle usually carries more meaning than a broad stock image of smiling people near a laptop.

The page explains what the viewer is seeing

Use a precise title, descriptive headings, useful nearby copy, and honest image alt text. Explain the model, material, service, dimensions, location, condition, use case, or outcome when those details matter. Alt text should support accessibility and describe the image’s purpose; it should not become a bag of repeated keywords.

The next step matches the discovery

If a person finds a product visually, the page should show price, availability, shipping, specifications, and a usable purchase path. If they find a local project, the page should explain the service area and how to request similar work. If they find a tutorial, link to the relevant service or tool without turning the explanation into an ad.

This is where visual SEO becomes business design. The image earns attention; the page must earn action.

A practical way to use the new data

Open Search Console, choose the relevant property, and visit the performance reporting area. If your property has eligible activity, apply the multimodal search type filter. Export the data if you want to compare pages or periods in a spreadsheet.

Then group the winning pages by intent rather than staring at the total:

• Identification: visitors are trying to name or recognize something.
• Comparison: visitors are looking for similar products, styles, or alternatives.
• Replacement or repair: visitors have a specific object or problem in front of them.
• Local discovery: visitors are connecting a visual clue to a nearby place or provider.
• Inspiration: visitors are collecting ideas before they know exactly what to buy.

That interpretation creates better work. An identification page may need clearer labels and specifications. A replacement page may need compatibility details. An inspiration gallery may need links into shoppable collections. A local project page may need the town, service area, and a stronger request path.

Small businesses do not need a giant image library

Quality beats volume. Start with the pages closest to revenue: the main service, highest-value products, signature work, common repairs, or locations that regularly generate leads. Give those pages original, useful images and enough context to make the result understandable.

For ecommerce sites, that may mean multiple clean product angles, consistent filenames, meaningful alt text, accurate product data, and fast mobile delivery. For service businesses, it may mean showing the actual work, the condition before service, the result afterward, and the process in between. For nonprofits, it may mean documenting programs and outcomes without relying on generic cause-related stock photography.

CodeForce can help organize that work through a practical SEO audit, a website refresh, or a broader business technology cleanup. The goal is not to chase every new Google report. It is to connect the report to pages, products, and customer decisions.

Visual search rewards businesses that can show their work

Search is becoming less dependent on people knowing the right phrase. That is good news for businesses whose value is visible: a distinctive product, a solved problem, a restored object, a finished room, a plated dish, a local landmark, or a piece that a customer wants but cannot name.

Search Console’s multimodal reporting does not create that visibility. It makes part of it measurable. Use the data to find the pages already earning visual attention, improve the context around them, and build a cleaner path from “What is this?” to “This is exactly what I need.”

Official sources

• Google Search Central: Announcing web multimodal Search performance reporting in Search Console
• Google Search Console Help: Performance report
• Google Search Central: Google Images SEO best practices
• Google Search Central: Product structured data

Not sure whether your images are helping customers find you? Book a CodeForce strategy session and we can review the pages, search data, and customer path together.