Google’s search results pages are becoming increasingly visual. According to STAT research published in June 2026, image results now appear in 39% of SERPs (up from 30% in January 2024), and video results have surged to 46%. Meanwhile, AI Mode responses remain text-heavy—paragraphs appear in 99.5% of AI Mode results, while image grids appear in just 22.58%. Brands that fail to optimize for visual SERP features risk losing significant pixel real estate to competitors.
The Google results page you knew three years ago looks nothing like what searchers see today. Scroll through almost any informational or commercial query and you’ll encounter image carousels, video thumbnails, and rich visual panels before you ever reach a traditional blue link. This isn’t cosmetic—it’s structural. The SERP has fundamentally shifted toward a visual-first experience, and that shift is accelerating.
For SEO professionals and content teams, this creates both a challenge and an opportunity. Ranking in position one no longer guarantees the most prominent placement on the page. Pixel position—the physical space your result occupies on screen—has become just as important as rank. Understanding how to compete in this new visual landscape is no longer optional; it’s a core SEO competency.
This post breaks down exactly what’s driving Google’s visual evolution, what the data tells us about AI Mode vs. traditional SERP features, and—most importantly—how to optimize your content to earn visibility in a world where images and videos command the screen.
How Dominant Are Image and Video Results in 2026?
The growth of visual SERP features is well-documented in STAT’s white paper analyzing feature prevalence over three years, published June 24, 2026. The numbers are striking.
Image results appeared in 30% of SERPs in January 2024. By January 2026, that figure had climbed to 39%—a nine-percentage-point increase over two years. That’s not incremental growth; that’s a consistent directional shift in how Google chooses to present information.
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Video results tell an even more dramatic story. Starting at 28% in January 2024, video prevalence surged to 46% by early 2026—but not without turbulence. A notable dip to 22% occurred in mid-2025 before a strong rebound. That dip likely reflects Google’s experimentation with AI-generated responses during the period when AI Overviews and AI Mode were being rolled out at scale. Despite the temporary pullback, video results have now outpaced images as the dominant visual SERP feature by prevalence.
Combined, these trends confirm one thing clearly: Google is prioritizing visual content in its results—and that prioritization is growing, not plateauing.
What Does a Visual SERP Actually Look Like?
To understand why this matters practically, consider a real-world example: a search for “Alfa Romeo 3000.” The SERP for this query is saturated with visual elements. Image carousels occupy prime screen space above organic text listings. Video thumbnails appear mid-page. Knowledge panel imagery fills the right rail on desktop. A user scanning this page encounters visual content at almost every scroll position before they engage with a single text-based result.
This is the new normal for product-adjacent, brand, automotive, lifestyle, and entertainment queries. For content teams targeting these verticals, traditional ten-blue-links thinking produces a strategy mismatch. A page that ranks #3 organically but has no image or video representation can be effectively invisible on a SERP like this one.
Pixel position—how much of the visible screen your content occupies—has emerged as a measurement metric that complements traditional rank tracking. Impressions alone don’t capture whether your result is actually seen before a user clicks, scrolls past, or bounces back to Google.
Desktop SERPs Are Catching Up to Mobile
Visual search features initially proliferated on mobile, where image carousels fit naturally into a vertically scrolling, thumb-driven experience. Desktop was slower to change—but it’s changing now.
According to the STAT research, image results on desktop increased from 17% in January 2024 to 27% by January 2026. That ten-percentage-point jump mirrors the mobile trend and signals that Google views visual enrichment as a universal SERP strategy, not a mobile-only accommodation.
For SEO teams that have historically deprioritized image optimization for desktop users, this data is a clear signal to recalibrate. Desktop queries—which tend to skew higher in commercial and B2B intent—are no longer exempt from visual competition.
How Does AI Mode Compare? The Text-Heavy Reality of LLM Responses
Here’s where the data delivers a genuinely surprising contrast. Google’s AI Mode—its large language model-powered conversational search interface—is, by measurable standards, far more text-heavy than the traditional SERP.
According to the STAT white paper:
- Paragraphs appear in 99.5% of AI Mode responses. This makes running text the near-universal format for AI-generated answers.
- Grids (the AI Mode equivalent of image carousels) appear in just 22.58% of responses.
This gap is significant. While the traditional SERP has evolved aggressively toward visual content, AI Mode leans hard on prose. For brands betting entirely on AI Mode visibility as their future search strategy, this data should prompt a reconsideration. Traditional SERP visual features remain the primary battlefield for image and video visibility—at least for now.
That said, the 22.58% grid prevalence in AI Mode is not negligible. As Google refines its AI interface, that number will likely grow. Optimizing for visual features today builds the foundation for AI Mode visibility tomorrow.
Why Visual Dominance Makes Pixel Position a Priority Metric
Rank has always been a proxy for visibility. Position one gets clicked most often because it appears first—that logic is sound. But on a visually rich SERP, position one in organic results can sit below an image carousel, a video pack, a featured snippet, and a People Also Ask box. A user’s eye never reaches it without active scrolling.
This is why pixel position matters. STAT’s research frames it alongside impressions as a complementary measurement: how far down the page is your result? How much screen space does it occupy relative to competing SERP features? On a query where video results appear in 46% of SERPs, a brand with no video presence is ceding valuable pixel real estate by default.
The strategic implication is direct: earning a presence in image carousels and video packs doesn’t just add visibility—it defends against being pushed below the fold by competitors who do.
How to Optimize for a Visual SERP in 2026
Winning visual SERP features requires deliberate, technical, and creative optimization. Here are the three most impactful approaches.
Use Schema Markup to Signal Visual Content to Google
Schema markup—structured data added to your HTML—tells Google what your content contains and how it should be displayed. For visual optimization, the most relevant schema types include:
- ImageObject to specify image content, dimensions, and licensing
- VideoObject to provide metadata like duration, thumbnail URL, upload date, and description
- Product schema with associated images for e-commerce pages
Google’s documentation confirms that structured data improves eligibility for rich results, including video carousels and image-enhanced panels. Without schema, Google must infer your content’s visual relevance—with schema, you tell it directly.
Write Comprehensive Descriptions: Alt Text, File Names, and Captions
Visual content is invisible to Google’s crawlers without strong textual signals. Three elements carry the most weight:
- Alt text: Describe the image accurately and include the target keyword where it fits naturally. Avoid keyword stuffing—Google’s systems reward descriptive accuracy, not repetition.
- File names: “IMG_4892.jpg” tells Google nothing. “alfa-romeo-3000-front-profile.jpg” provides context, reinforces topical relevance, and contributes to image indexing.
- Captions: Captions are the most-read text on image-heavy pages. They also provide Google with additional contextual signals about the surrounding content.
These aren’t advanced tactics—they’re foundational. Many sites still neglect them entirely, which means consistent execution here creates a measurable competitive advantage.
Target the SERP Features That Dominate Your Query Landscape
Not every query triggers image or video results. Before investing in visual content production, analyze your target SERPs to determine which features Google is surfacing.
Use SERP feature tracking tools to answer: Does this query return an image carousel? A video pack? Both? Neither? The answers shape your content strategy. A query consistently returning video results rewards YouTube uploads with optimized metadata. A query returning image carousels rewards high-quality photography with strong alt text and schema.
Chasing visual SERP features generically wastes resources. Targeting the features Google already surfaces for your specific queries drives results.
Position Your Brand for the Visual Search Era
The SERP is not becoming more visual at some future point—it already has. Image results present in 39% of SERPs, video results in 46%, and desktop image prevalence doubling over two years: these are not projections. They are documented trends from a three-year analysis published by STAT in June 2026.
The brands that will dominate Google’s visual landscape in the next three years are the ones investing now in schema markup, rigorous image metadata, video production with SEO-optimized uploads, and SERP feature tracking that goes beyond rank to measure pixel position.
AI Mode is not replacing the visual SERP—its own 22.58% grid prevalence lags well behind traditional SERP image saturation. The traditional results page remains the arena where visual competition is most intense and most consequential.
Audit your current image and video optimization today. Identify which target queries already surface visual SERP features. Then build the content and metadata to compete for them. Rank is still important—but on a visual SERP, rank without pixel presence is a strategy built on an incomplete map.
Frequently Asked Questions
What is a visual SERP and why does it matter for SEO in 2026?
A visual SERP is a Google search results page that prominently features image carousels, video packs, or other visual elements alongside or above traditional text-based results. Visual SERPs matter because they shift visibility away from pure rank—a site ranking #3 organically can be pushed below the fold when image and video features occupy the top of the page.
How much have image and video results grown in Google search?
According to STAT research published June 24, 2026, image results in Google SERPs grew from 30% in January 2024 to 39% in January 2026. Video results grew from 28% to 46% over the same period, despite a temporary dip to 22% in mid-2025. On desktop specifically, image results rose from 17% to 27%.
Does Google’s AI Mode show as many images as traditional search results?
No. AI Mode responses are significantly more text-heavy than traditional SERPs. According to STAT’s white paper, paragraphs appear in 99.5% of AI Mode responses, while grids—the image-equivalent feature in AI Mode—appear in only 22.58% of responses. Traditional SERPs remain the primary battleground for visual feature visibility.
What is pixel position and how does it differ from search rank?
Pixel position measures how far down the physical page a search result appears, and how much screen space it occupies. Unlike rank, which reflects order in a list, pixel position accounts for the visual SERP features—image carousels, video packs, featured snippets—that push organic results lower on the page. STAT’s research highlights pixel position alongside impressions as a key visibility metric.
What are the most effective ways to optimize for visual SERP features?
The three highest-impact tactics are: (1) implementing schema markup such as ImageObject and VideoObject to make visual content eligible for rich results; (2) writing descriptive alt text, keyword-relevant file names, and contextual captions for every image; and (3) analyzing your specific target SERPs to identify which visual features Google surfaces for those queries, then producing content optimized for those features specifically.
Should I focus on traditional SERP visual optimization or AI Mode optimization?
Both matter, but traditional SERP visual optimization delivers more immediate impact. With video results appearing in 46% of traditional SERPs and image grids in only 22.58% of AI Mode responses, the traditional results page is currently the more visual—and more competitive—environment. That said, AI Mode’s grid prevalence will likely grow over time, making visual optimization today a dual investment in both current and future visibility.
