Multimodal AI Search: Optimizing for Video, Voice, and Images

What is multimodal search and why should you care?

Multimodal search is the ability of AI engines to read text, images, video, and voice together when generating an answer. People no longer just type keywords into a box: they talk to their phone, scan objects with a camera, upload screenshots, and combine all of it in a single query. The most capable models — ChatGPT, Gemini, Perplexity — are built to process every one of those inputs at once.

What does that mean for your business? If your site only contains text, you are invisible to a growing slice of the traffic. Google Lens now handles more than 20 billion visual searches per month, up 43% year over year, according to DemandSage. Voice queries already account for over 20% of activity inside Google's mobile apps.

Key data

37% of internet users have run a voice search or used voice commands in the last month, per Yaguara. Businesses that ignore these formats are losing queries that never touch a text box.

If you're still fuzzy on what GEO (Generative Engine Optimization) is and how it affects your AI visibility, start with our guide to what GEO is.

How fast are voice, video, and image search actually growing?

This isn't a forecast. It's already here. Voice, video, and image search are on an adoption curve that directly changes how people discover businesses.

These are the numbers every operator should have in mind in 2026:

The pattern is obvious: younger users default to visual search (40% of Gen Z and millennials start product research with an image), and voice dominates local queries. If you run a restaurant, a clinic, a hotel, or a local service, this hits you immediately.

How do you optimize images so AI actually understands them?

AI doesn't "see" your images the way a person does. It needs textual and structural cues to interpret them and decide whether your content deserves a spot in an answer. Image optimization for multimodal search doesn't require deep technical skills — just a few clear rules.

Descriptive filenames

Swap IMG_20260301.jpg for handmade-sourdough-loaf-brooklyn-bakery.jpg. AI models read filenames as additional context to figure out what the image is about.

Detailed alt text

The alt attribute is the main signal both Google and the LLMs use to interpret an image. Describe what's visible in natural, specific language:

• Weak: alt="cake"
• Strong: alt="Handmade New York cheesecake served on a white plate on the patio of The Palm restaurant, Brooklyn"

Structured data (schema markup)

Add ImageObject schema to your key images. According to Think4AI, pages with complete schema markup (Article, FAQ, ImageObject, VideoObject) consistently outperform those without it in AI citations and rich results.

Modern formats and compression

Use WebP or AVIF. Images that load quickly are more likely to be indexed and, by extension, cited by AI engines.

Quick image checklist:

1. Descriptive filename with relevant keywords
2. Alt text of 10–15 words with real context
3. ImageObject schema on primary images
4. WebP or AVIF format, under 200 KB
5. Original, branded photography (AI sources penalize generic stock)

What does it take for videos to show up in AI answers?

Videos are no longer a nice-to-have. Gemini, Google AI Overviews, and Perplexity now embed micro-videos directly in their responses as the preferred format for informational intent. YouTube has become a dominant citation source for AI — especially Gemini, which lives in the same Google ecosystem.

To get your videos picked up by AI models, you need three things:

Transcripts and captions

LLMs can't "watch" a video the way you can. What they can process is the transcript. Always upload SRT captions to YouTube and include the full transcript on the page where the video is embedded.

VideoObject schema

Implement VideoObject structured data on every page that hosts a video. Include the name, description, duration, thumbnail URL, and upload date. This is what helps Google and Gemini index the clip correctly.

Titles and descriptions that answer questions

A video title should answer a specific question. Just like with articles, AI looks for direct answers. "How to Choose a Health Insurance Plan in 2026" gets cited far more than "Our March Vlog Recap."

Key data

Gemini prioritizes the Google ecosystem: YouTube, Google Business Profile, and Google Maps. If you publish well-structured videos on YouTube, you have a built-in advantage in multimodal search. See our guide on how to appear in Gemini for the full playbook.

How do you prepare your business for voice search?

76% of voice searches are local — "Italian restaurant near me," "dentist open now," "mechanic in Austin." For a local SMB, voice is probably the modality with the biggest immediate payoff.

Voice search works differently from typing. Queries are longer, more conversational, and almost always phrased as questions. That demands a different approach to your content.

Direct answers to specific questions

Use real questions as your headings and put concise answers in the first lines below them. Voice assistants (Google Assistant, Siri, Alexa) pull short 40–60 word snippets to read out loud.

A complete Google Business Profile

For local queries, Google Business Profile is the primary source. Make sure you have:

• Correct primary category and supporting secondary categories
• Current hours, including holidays
• Recent, high-quality photos
• Reviews with owner responses (AI rewards activity)
• Full business description with your core services

Natural, conversational language

Write the way your customers speak. Instead of optimizing for "plumber Chicago quote," create content that answers "How much does a plumber cost in Chicago?" Voice search rewards natural phrasing.

Structured FAQ with schema

A frequently asked questions section with FAQPage schema is one of the highest-leverage tactics for capturing voice queries. Each question should be a complete sentence, and each answer should stand on its own when read aloud.

What role does each AI platform play in multimodal search?

Every model handles formats differently. Generic optimization isn't enough — you should know what each platform prioritizes so you can put your effort where it pays off.

Gemini is the platform where multimodal carries the most weight, thanks to Google Lens and direct YouTube integration. But ChatGPT is right behind it: the real-time voice API and in-chat image analysis make it a primary channel, especially with 5.72 billion monthly visits according to Incremys. For the platform-specific tactics, check the guides on how to appear in ChatGPT, how to appear in Claude, and how to appear in Perplexity.

What can I actually ship this week?

You don't need a big budget or a technical team. These actions are ordered from lowest to highest effort and they all move the needle in multimodal search.

Immediate (1–2 hours):

1. Audit every image on your site: rename files and add descriptive alt text
2. Bring your Google Business Profile to 100% completion
3. Add an FAQ section using real questions from your customers

Short term (1–2 weeks):

4. Record 3–5 short videos answering the most common questions in your industry
5. Upload them to YouTube with captions, full transcripts, and VideoObject schema
6. Implement schema markup (Article, FAQPage, LocalBusiness) on your key pages — our schema markup for AI guide walks through it

Strategic (1–3 months):

7. Build a content strategy that combines text + image + video for every topic
8. Publish on a regular cadence: pages updated in the last 2 months receive 28% more AI citations, per Superlines
9. Track which AI platforms cite you (and which don't) so you can spot the gaps

Key data

Content with statistics, quotes, and concrete data earns 30–40% more visibility in AI responses, per Exposure Ninja. Writing isn't enough. You have to bring proof.

Is multimodal search the future or the present?

It's the present. With 20 billion visual searches per month, 8.4 billion active voice assistants, and 37% of consumers starting queries inside an AI chatbot, multimodal search isn't a distant trend — it's the current standard for discovery.

The takeaway for SMBs is direct: text isn't enough anymore. Businesses that pair written content with optimized images, captioned videos, and a voice-ready Google profile have a real edge over operators still leaning only on written keywords. If you also want the contrast with traditional search, read SEO vs GEO.

The good news is you don't need to be a technologist to start. The most effective actions are the most basic ones: name your photos properly, answer customer questions on video, and structure your site so AI can read it without effort.

If you want to know exactly where your business shows up today — and where it doesn't — in ChatGPT, Gemini, Perplexity, and Claude, Surfeo audits your visibility across all four and tells you what to fix first. Run the free AI visibility test. Because in the multimodal era, what AI can't see doesn't exist.

Keep reading

• Creating content for AI — How to write so models actually pull you into answers.
• Best AI visibility tools for SMBs — What to use to track multimodal mentions.
• Google AI Overviews guide — Where Lens, voice, and video collide in Google's stack.