How to optimise AIME Live
Learn how to get the most out of your AIME Live Recommendation Blocks
AIME Live Recommendation Blocks harness the power of AI to display the most relevant product recommendations to your customers, both new and returning. At the core of this AI-powered process are your store’s product tags.
Why Product Tags Matter
Product tags are a simple but powerful way to give AIME Live more context about your products. They provide signals that help Live’s AI engine understand the relationships between different items in your catalogue.
When your products are consistently and accurately tagged, AIME Live can:
Match similar and complementary items more reliably
Improve cross-sell and serve smarter, more personalised recommendations
Adapt more effectively to customer behaviour patterns over time
Crafting High-Impact Tags
Make every tag count by following these guidelines:
Describe the Product. Focus on concrete details: red, leather, oversized.
Group Logically. Create tags that a customer would use to filter or search, like gym-friendly or office wear.
Avoid Temporary Info. Don't use tags for time-sensitive data like sale or new arrivals. Use collections for that instead.
Suggested Tags to Include
Add roughly 6–10 tags per product, covering:
Material: e.g. cotton, leather, wool-blend
Style or silhouette: e.g. oversized, cropped, slim fit, boho
Occasion or use-case: e.g. wedding guest, gym, everyday
Seasonality: e.g. winter, summer, transitional
Key features: e.g. pockets, adjustable straps, stretch
Colours and tones: e.g. sage green, neutral, bold prints
The more information you can give Live through tags, the better your product blocks will perform.
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