Insights, guides, and updates from the Lasso team to help you master your product data.
Amazon listing optimization in 2026 is no longer about copy tweaks alone. This guide shows what matters most for titles, bullets, images, and attributes, how to structure listing data, and what to test first for measurable gains.
Jiri Stepanek
Amazon’s Rufus AI shopping assistant is moving beyond chat and into agentic actions like price tracking and cross‑store buying. This update has real implications for product data teams and retailers preparing for AI-driven commerce.
Jiri Stepanek
Empty product attributes silently kill conversion rates and suppress discoverability. Research shows that complete product descriptions can increase conversion rates by up to 30%, yet 83% of shoppers abandon sites when product information is missing. This guide shows how to systematically identify gaps, use AI safely, and measure the business impact.
Jiri Stepanek
Bulk uploads should not feel like a rollback risk. This guide gives ecommerce teams a practical Shopify workflow for CSV format, variant logic, metafields, media, and QA so listings go live cleanly on the first pass.
Jiri Stepanek
Catalog issues usually start before data reaches your storefront or feed channel. This framework shows ecommerce teams how to combine validation rules, statistical sampling, and human review gates to prevent expensive listing errors before publishing.
Jiri Stepanek
If AI crawlers cannot access your product pages, your products will not appear in AI-generated shopping answers. This guide covers robots.txt for AI bots, JavaScript rendering issues, sitemap hygiene, canonicalization, and content accessibility for LLMs.
Jiri Stepanek