What if your future customers aren’t just searching with text?
What if they’re discovering you through images, social reels, or even Bing’s AI-powered search?
Visual and multimodal search is rapidly reshaping ecommerce discovery — Google’s visual search tool now handles nearly 20 billion visual searches per month, and image-based queries are among the fastest-growing types of search behaviour worldwide!
Our client (an eCommerce brand) realised early that relying on plain text SEO was no longer enough. The solution?
A multimodal content strategy that went beyond Google and captured attention across every channel.
The result?
Here’s what we achieved in just six months:
- Clicks up by 53.61% and impressions grew by 100.38% on Google Web.
- Image search clicks up by 50.17%.
- Bing clicks up by 85.6%.
- Organic social traffic up by 41.02%.
- ChatGPT sessions up by 321.43%.
- Perplexity.ai sessions up by 328.57%.
- Gemini sessions up by 333.33%.
- Perplexity sessions up by 450%.
What we did (Strategy Breakdown)
eCommerce research shows visual search usage has grown globally by over 70%, highlighting how shoppers increasingly leverage image-based discovery tools that bypass traditional keyword queries!
Here’s what we did for our client:
1. AEO-SEO with a Multimodal Content Focus
We fully embraced Answer Engine Optimisation (AEO) and multimodal content.
Instead of chasing only blue links, we built an ecosystem optimised for:
- Bing (fueling ChatGPT’s live answers).
- Google image and visual search.
- Organic social content that drives SEO signals.
This comprehensive multimodal approach gave the brand wider, stickier visibility.
2. AI-Optimised Multimodal Content Layers
We reimagined high-intent product and category pages by layering:
- Snippet-ready text content.
- Optimised image metadata and alt text for visual search.
- Embedded videos and supporting graphics to strengthen AI context signals.
Result: better indexing and relevance across text, image, and AI-driven search.
3. Multimodal Keyword Mapping
We expanded keyword strategy to match how real buyers search today:
- Visual and image-based long-tail queries.
- Trending social keywords across reels and short videos.
- Voice and conversational modifiers to target AI-driven queries.
This multimodal keyword expansion captured audiences across every platform.
4. Cross-Platform Conversion Tracking
We looked beyond Google Analytics sessions, measuring:
- Bing and image search-assisted conversions.
- Social engagement driving organic sessions.
- Full-funnel paths that integrated text, images, and social journeys.
This gave us a true picture of what multimodal content delivers.
Remember: Your buyers don’t just read—they watch, swipe, and ask AI.
This eCommerce brand didn’t just grow on Google. With a multimodal content strategy, they dominated Bing, visual search, and social- all without chasing empty traffic.
The takeaway?
Multimodal content isn’t optional anymore. It’s how you stay relevant in an AI-driven, hyper-visual world.
For more case studies, visit us at https://www.growth.pro/seo-case-study