WHITEPAPER
Optimizing Product Visuals for AI-Driven eCommerce Search
Turn your product images into powerful search signals
Artificial intelligence is reshaping eCommerce. Platforms like Amazon Rufus, Walmart Sparky, Google Gemini, and Perplexity no longer rely only on text — they use computer vision to “read” product images, extract attributes, and verify claims. This whitepaper reveals how to make your visuals machine-readable, attribute-complete, and contextually rich, so they drive visibility, clicks, and conversions in an AI-first search environment.
Get the strategies today — and make your product images AI-ready.
🎯 What you’ll gain from this whitepaper:
> AI interpretation explained — How computer vision reads product visuals and impacts ranking.
> Best practices for AI-ready imagery — Resolution, multiple angles, color accuracy, and hero image rules.
> Category-specific tactics — Apparel, electronics, furniture, beauty, and packaged goods.
> Platform-level insights — Amazon, Walmart, Google, and Perplexity requirements.
> Real case studies — Before-and-after examples showing measurable ranking and sales lifts.
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