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Discovery is shifting from stores to AI. Optimising product data for LLMs is now the key to winning visibility and sales in 2025.
Shopping habits have shifted dramatically and brands face growing complexity in managing fragmented product data across channels and markets.
Success requires clean data, localisation with cultural nuance, and agility in adapting to discovery-based shopping trends. With AI becoming the new starting point for purchases, optimised product data has become the most valuable storefront.
“People are using AI as the place to start their shopping journey. That’s why the most pertinent thing for brands is making sure that the product data that they are sending to the LLMs is optimised because that is essentially your storefront,” says Moe Dhanj, Strategic Account Director at Feedonomics.
The conversation zeros in on the complexities of product data management and how brands can optimise for success.
Top Insights from Moe Dhanj
- Advertising channels, marketplaces, and ecommerce platforms all require product data in different formats. Brands must tailor their feeds to each environment to maximise sales.
- AI translation tools alone are insufficient for global expansion. Human intervention is needed to capture cultural nuances in language and consumer behaviour to improve resonance and sales.
- Consumers are asking AI tools to recommend brands or products. Optimised product data for LLMs will determine visibility, effectively making it the brand’s new storefront.
Watch the full interview here.
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