"Begin by evaluating current genAI visibility. Merchants should search for their brand names to understand how the platforms present them. Experiment with shopper-like queries to observe how the systems rank and mention offerings in comparison to competitors. Consider searches such as "Find me running shoes with maximum cushioning for marathon training" or "What are the top-rated coffee makers that brew a single cup in under 2 minutes?""
"Generative AI platforms thrive on structured, accurate, real-time data. Here are optimization tips: 1. Keep product data clean and consistent * Unique IDs that never change * Plain text titles and descriptions 2. Write for people, not just machines * Short, specific titles (brand + product + key attribute) * Natural language benefits in descriptions 3. Use structured attributes * Brand, price, size, color, and material"
Merchants should evaluate current genAI visibility by searching brand names and using shopper-like queries to see how platforms rank and present offerings compared to competitors. Product feeds provide a strong foundation when they include dimensions, color options, materials, weight specifications, and intended applications. Generative AI platforms prefer structured, accurate, real-time data. Optimization requires keeping product data clean and consistent, including immutable unique IDs and plain-text titles and descriptions. Merchants should write for people with short, specific titles (brand + product + key attribute) and natural-language benefit statements in descriptions. Using structured attributes such as brand, price, size, color, and material improves discoverability.
Read at Practical Ecommerce
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