How Multimodal AI Is Changing Visual Search for Local Business

You’re walking down the street, see a restaurant with interesting decor, snap a photo, and ask your phone “What is this place and is it any good?” That’s multimodal AI search in action. And it’s no longer science fiction.

Multimodal AI combines text, images, voice, and even video into a single search experience. For local businesses, this is one of the most exciting (and least discussed) developments in the AI search landscape.

What Is Multimodal AI Search?

Traditional search is text-based. You type words, you get results. Multimodal AI search accepts multiple input types:

• Image + text: Take a photo and ask a question about it
• Voice + location: Ask your phone a question while walking
• Image + location: Snap a photo and get information about what you see
• Video analysis: Point your camera and get real-time information

Google Lens has offered basic visual search for years, but multimodal AI takes it much further. Instead of just identifying an object, it can understand context, answer questions, provide recommendations, and connect visual inputs to local business information.

How This Affects Local Businesses

Visual Product Discovery

A shopper sees a piece of furniture they like in a friend’s home. They take a photo and ask, “Where can I buy something like this near me?” Multimodal AI can identify the style, search for similar products, and surface local businesses that sell comparable items.

If your product photos are high quality, properly described, and accessible to search engines, you can show up in these visual searches.

Business Recognition

When someone photographs a storefront or business sign, AI can now identify the business and pull up reviews, hours, and other information. This creates a new “discovery moment” for local businesses. Someone walking past your shop can instantly access everything they need to know.

Make sure your Google Business Profile has current photos of your storefront, signage, and interior. These photos feed the visual recognition systems that power this technology.

Service Identification

Home service businesses benefit too. A homeowner photographs a problem (a roof with damaged shingles, a deck with peeling stain, a cracked foundation) and asks AI “What kind of professional do I need for this, and who’s good near me?” The AI identifies the issue and recommends local service providers.

This is another reason to have detailed, visual content on your website showing the types of work you do. Before-and-after photos, project documentation, and images of common problems you solve all feed into this ecosystem.

Optimizing for Visual Search

Image Quality and Quantity

Upload high-quality, well-lit photos to your website and Google Business Profile. Aim for:

• Your storefront (exterior shots from multiple angles)
• Interior photos showing your space, products, or work environment
• Product photos on clean backgrounds with good lighting
• Before-and-after shots of your work (service businesses)
• Team photos showing real people

Alt Text Matters More Than Ever

Every image on your website should have descriptive alt text. Not “IMG_2847.jpg” but “Custom kitchen remodel with white marble countertops and brass fixtures in Nashville home.”

Descriptive alt text helps AI engines understand what your images show and connect them to relevant search queries. This has always been an SEO best practice, but multimodal search makes it genuinely impactful.

Structured Image Data

Use ImageObject schema on your key images, especially product photos and portfolio images. Include descriptions, copyright information, and content URLs. This helps AI engines catalog and retrieve your images more effectively.

Google Business Profile Photos

GBP photos are directly indexed by Google’s visual search systems. Businesses with 20+ quality GBP photos get significantly more engagement than those with fewer. Upload new photos regularly to keep your visual presence fresh.

We covered GBP optimization in detail in our guide on the free tool most businesses ignore.

Voice + Visual: The Combined Experience

The most powerful multimodal searches combine voice and visual inputs with location data. Someone driving through a neighborhood asks, “Show me the best-reviewed restaurants I’m passing right now.” The AI uses their camera, GPS, and review data to generate a real-time answer.

To be part of these answers, you need:

1. Strong review profile (the rating and count data gets surfaced immediately)
2. Accurate location data (GPS coordinates in your schema and GBP)
3. Current business hours (nobody wants to be recommended a place that’s closed)
4. Visual presence (photos that represent your business accurately)

The Emerging Opportunity

Multimodal search is still early. Most small businesses aren’t thinking about it yet, which means the businesses that start optimizing now will have a significant head start.

The good news is that most multimodal search optimization overlaps with things you should already be doing:

• Quality photos on your site and GBP
• Descriptive alt text on all images
• Complete, accurate structured data
• Strong review profiles
• Consistent business information across platforms

If you’re already following best practices for traditional SEO and GEO, you’re already partway there. Adding visual optimization rounds out your presence for the next wave of search technology.

What to Do This Month

1. Audit your website images. Are they high quality? Do they all have descriptive alt text?
2. Check your GBP photo count. Aim for 20+ quality, diverse photos.
3. Add ImageObject schema to your most important images.
4. Take new photos of your business, products, or recent projects.
5. Update any outdated images that no longer represent your business accurately.

Ready to optimize your business for the visual search revolution? Get in touch and we’ll make sure your business looks as good to AI engines as it does to your customers.