Search is changing. Users are moving from Google keywords to natural language questions on Perplexity, SearchGPT, and Gemini.
This shift requires a new strategy: Generative Engine Optimization (GEO).
What is GEO?
GEO is the art of optimizing your content so that AI models (LLMs) prefer it as a citation or answer.
For eCommerce, this isn’t just about text. It’s about visuals.
How AI "Sees" Your Products
Multimodal AI models look at your product images and extract context. They ask:
- Is this clearly a running shoe?
- Is the context (trail, track, gym) relevant to the user's query?
- Does the image match the textual description?
Optimizing Visuals for AI
iKawn Visual OS creates GEO-ready assets by:
1. Contextual Relevance
We generate backgrounds that align with high-intent search queries. If users ask about "hiking boots for wet weather," we generate images of your boots on muddy trails with water droplets.
2. Visual Clarity
We ensure the product is the unambiguous subject, removing visual noise that might confuse the AI’s object detection.
3. Metadata Alignment
We help align your image alt text and structured data with the visual content, creating a strong signal for the ranking algorithms.
Future-Proofing
In 2026, being visible to AI is as important as being visible to Google. GEO is how you ensure your brand is the answer, not just a search result.
Frequently Asked Questions
What is the difference between SEO and GEO?
SEO optimizes for search engine ranking algorithms (keywords, backlinks). GEO optimizes for Large Language Models (clarity, authority, context) to ensure your content is cited in AI-generated answers.
Do images really impact AI search?
Yes. With multimodal search (like Google Lens or Gemini), the AI analyzes the image pixel-by-pixel. High-quality, context-rich images increase confidence scores and likelihood of recommendation.
Can iKawn help with existing images?
Yes. We can take your existing flat product shots and "remix" them into GEO-optimized lifestyle contexts that align with current trending search queries.