How to Optimize Product Data for AI-Driven Search

Crisp shows us that clean, structured product data is no longer optional — it’s the foundation for AI-powered discoverability and commerce. As AI shopping agents grow, suppliers who can quickly interpret real-time shopper signals, monitor in-stock performance, and act on analytics will lead the pack. Optimization + analytics aren’t just buzzwords; they’re what separates high-growth digital commerce players from the rest. https://lnkd.in/ga8Ebz2k #SupplyTech #DigitalCommerce #AIAnalytics #ProductDiscoverability #DataDriven

Vivek Pandya, lead analyst at Adobe Digital Insights, sat down with InternetRetailing ahead of the upcoming Adobe Digital Insights Holiday Shopping Forecast to share some of the ways in which data is transforming retail – and how generative AI is emerging as a powerful force in shaping the future of shopping. https://lnkd.in/esJdevZs

Vivek Pandya, lead analyst at Adobe Digital Insights, sat down with InternetRetailing ahead of the upcoming Adobe Digital Insights Holiday Shopping Forecast to share some of the ways in which data is transforming retail – and how generative AI is emerging as a powerful force in shaping the future of shopping. https://lnkd.in/dZ3AQpRD

Shoppers are not searching for products the way they used to. Think about it: when you ask Google, Alexa, or ChatGPT a question, you don’t scroll through pages of links anymore. You expect an answer. Get in front of the new normal, invest in Answer Engine Optimization (AEO) and prepare your product data so AI and search engines can instantly find and share it. How things have changed: Old world - SEO was about ranking higher in search results. New world - AEO is about being the answer itself. Sure, SEO still matters a great deal but this shift is rewiring how we think about online retail. Why does it matter? If your product info isn’t clear, structured, and enriched, AI won’t pick it up and curious shoppers won’t see it. The good news is that retailers who master AEO (on top of SEO) and incorporate it into their product data strategy build trust faster, show up more often, and make it easier for shoppers to hit “buy now.” We break it down for you in our latest article on AEO, read it here: https://lnkd.in/e3iPepys #AEO #ecommerce #AI #retail #digitalstrategy

Prosus has introduced large commerce models – agentic AI systems that it says are set to replace traditional search and recommendation engines. #Ecommerce #AgenticAI

I had a great conversation with Sharon Edelson at Forbes about the biggest shift happening in retail today: the rise of Agentic Commerce. The era of simple keyword searches is over. We're in a new era where AI agents act as sophisticated personal shoppers, understanding nuanced, conversational requests to find the perfect products. For businesses, this presents a foundational challenge. How do you ensure your products are not just seen, but selected by these agents? This is the new frontier of digital visibility. It’s precisely why we built Mirakl Nexus. It acts as the essential infrastructure for this new era, ensuring retailers can connect with customers and thrive. Dive into the full article to explore how the rules of product search are being rewritten. https://lnkd.in/dan_pxPc #AI #eCommerce #RetailTech

Big news today from Walmart as they join Etsy and Shopify in integrating into OpenAI's Agentic Commerce capabilities. This is a big deal in many ways as there have been some big debates on the likelihood of shoppers moving away from individual retailer sites to AI platforms like Perplexity and OpenAI to initiate their shopping journey. While we can all agree that AI platforms are excellent tools for product discovery and that we should expect more and more retailers to leverage these capabilities so consumers can easily find them within the AI platforms, it is not yet clear if this will translate to shopping being transacted within the AI platform vs consumers clicking through to the retailer to complete their purchase. My take is that it will come down to the consumer experience -- eCommerce sites are not particularly user friendly. The larger a retailer's catalog the harder it is to find what you are looking for -- the current search driven shopping experience is hardly consumer friendly. Retailers themselves, including Walmart and Amazon are rushing to implement conversational AI experiences on their sites to hedge their bets and to keep AI from completely hijacking their customers and becoming the front-end for all shopping. The other question is what happens to advertising? With our DaVinci Commerce AI platform we are betting that ads will adopt conversational, discovery and shoppable models both by engaging consumers outside of AI platforms and enabling them to discover before buying as well as creating experiences within the AI platforms that engage consumers better that current search models do. The definition of an ad by itself is likely to change. One thing is for certain, shopping a few years from now is going to look very different and at the end of the day is going to be about a battle centered around user experience. #agenticai #generativeai https://lnkd.in/gdbXhrS5

GPT Shopping won’t change the world overnight - but Intent-Led Commerce just might!   The hype around ChatGPT’s new shopping feature is "sort of" justified: it’s a glimpse into how AI will reshape product discovery for sure. But let’s be clear - GPT Shopping is only one piece of the puzzle. Who knows; it might not even be GPT that wins the AI race in a few years time. The real strategy? Intent-Led Commerce - optimising data and experiences around the way customers actually shop. And that matters across *every* channel: not just the new and shiny ones. So let's talk about some real user intent. We see a lot of mission based activity: “I need a new outfit for my Christmas party.” “I want something comfy but chic for the office.” “I want wallpaper that makes my living room feel cosy but modern.” These are natural, intent-rich queries - and they’re exactly what LLMs like GPT are built to understand. But how will they decide which retailers and products to return? Well, they use vector embeddings to represent both the customer’s query and retailers product data in high-dimensional space. The closer the vectors are, the higher the semantic relevance. So when someone says “I need a Christmas party outfit”, when encoded into a vector, it retrieves information that sits closest in that semantic space - attributes like: "festivity" "occasionwear" "sparkle" "sequins" "velvet" "sleek" "metallics" "glamour" And here’s the opportunity.... ...the retailers who have already enriched their product feeds, site content, and social campaigns with these intent-led attributes are the ones who get surfaced. Because in GPT Shopping (and in AI platforms more broadly) visibility depends on how well your data aligns with the customer’s mission. If your products don’t carry those signals, the model simply can’t infer that knowledge well enough to rank you well.   Now lets be frank. Semantic relevance is only the foundation. Other signals will decide visibility too: - Authority & trust: consistent mentions across socials, reviews, publishers. - Completeness of data: attributes, images, contextual depth. - Behavioural feedback: clicks, adds-to-cart, conversions. - Trend velocity: fast-moving social + seasonal signals. - Multimodal inputs: text, images, video, UGC — all matter. GPT Shopping is a nice spark. But Intent-Led Commerce is the strategy that lights a fire on discoverability across AI, Google, social, email, and your own site. This approach hedges your bets, regardless of where the space ends up.

Real-time AI is changing how e-commerce personalizes shopping and prices products. From predictive offers to dynamic pricing, discover how retailers are unlocking new levels of agility and conversion. Read the article here: https://lnkd.in/dqTmqaRx #ai #ecommerce #personalization #pricing #martechpulse #bestplacetowork

🔎 SEO isn’t enough in an AI-first world. AI agents don’t just rank pages — they read structured data, connect to product feeds, and pick what to show users automatically. Here’s what brands can do now: 🗂️ Structure your data: Use rich product metadata so AI can “read” your catalog.
 🌐 Be everywhere AI looks: Feed products into Shopify Catalog, Google Merchant Center, TikTok Shop, and other marketplaces.
 ⭐ Build trust: Invest in authentic reviews and user-generated content that AI weighs heavily.
 💬 Answer intent directly: Create content that solves shopper questions in plain language.
 🚀 Future-proof: Plug into AI-friendly platforms early, from Shopify’s discovery tools to Klarna’s shopping assistant. In today’s AI era, being selected matters as much as being found. 👉 Great overview here from Yext: https://lnkd.in/gjJvCAp7 #ShopifyPlus #Ecommerce #AI #DigitalCommerce #ProductDiscovery #PivotMade #SEO