Back to all
AI is already pulling your product data into conversations. Is your product data saying the right things?
LLMs are now a primary discovery layer for shoppers. And what they surface about your products depends entirely on the quality of your data. Incomplete specs, stale pricing, mismatched attributes: AI doesn’t fill in the gaps in your favor. It just moves on to a competitor who got it right.
Rithum’s product feed and data transformation technology makes sure your product content is accurate, optimized, and delivered in the right format across every channel where shoppers (and AI agents) are looking.
What Rithum does for your product data
- Assortment strategy: Determine the right product spread for each channel based on requirements and best practices.
- Content optimization: Transform, enhance, and optimize your product data to maximize exposure, compliance, and conversion.
- Delivery and monitoring: Identify the best delivery strategy for your content and track feed performance to every destination.
- Quality assurance: Get regular audits and timely error resolution.
Why it matters now
AI is one of the most influential stops in the modern consumers’ buying journey. And it’s happened so fast that most brands haven’t had a chance to optimize their product feeds to take advantage of it.
But when AI gets product information wrong, 58% of shoppers lose trust in the brand. They blame you, as much as (or more than) the AI tool itself.
And your highest-value shoppers—young, high-income, high-intent—are the ones most likely to act on AI recommendations without a second look. They’re not visiting your site to verify. They’re trusting what AI found. Even if the pricing and stats are wrong, or make your competitor look better.
What AI surfaces depends on the data you give it. Incomplete, inaccurate, or outdated product data doesn’t just hurt your search rankings—it hands your customers to competitors with cleaner feeds.
Read about how Rithum can help.
