Google s AI Shopping Revolution скачать в хорошем качестве

Google s AI Shopping Revolution

Google is making an aggressive move to take over the entire online shopping journey with its Shopping Graph, an enormous machine learning-powered dataset that now contains more than 50 billion product listings. Two billion listings update every hour, giving Google a constantly refreshed, real-time view of global inventory, pricing, reviews, materials, colours, sizes, sustainability attributes, and even niche factors like whether an item performs well in extreme weather. The Shopping Graph works like a dedicated version of the Google Knowledge Graph, but built specifically for products and sellers. It connects information from retailer websites, Google Merchant Center, manufacturer sites, review platforms, and YouTube videos to understand products at a deep semantic level. This lets Google answer complex shopping questions with ease. Google’s new AI features use this graph to simplify everything from discovery to checkout. AI Mode in Search now handles long, conversational queries and returns organised comparison tables, visuals, pricing, and insights pulled from trusted sources. People are asking questions 23 times longer than traditional search because the system can finally interpret natural language properly. Shopping tools are also embedded directly into the Gemini app, allowing anyone to brainstorm product ideas, refine choices, compare options, and view prices without leaving the conversation. Google is also introducing agentic checkout. You tell Google what you want, your budget, and your preferred size or colour. It tracks the exact item for price drops and alerts you when it hits your target. If the retailer is eligible, Google can even complete the purchase on your behalf using Google Pay, once you confirm the details. Another feature, “Let Google Call,” uses upgraded Duplex technology. When users search for something nearby, Google can automatically phone local stores, ask about stock and price, and send a summary back to the shopper. It identifies itself as a robot and respects store opt-outs, but opting out risks losing customers since Google mediates so much local discovery. These moves show Google’s ambition: to become not just a search engine, but the default shopping companion. This has major implications for merchants, creators, and SEO. Clean product feeds, accurate pricing, and complete attributes matter more than ever. Merchants must optimise product data for the Shopping Graph by completing optional fields, using long-tail and conversational attributes, updating inventory daily, and ensuring data is consistent across all surfaces. Manufacturer Center becomes essential for brand accuracy and protection. The bigger concern is how much Google may consolidate attention. If AI Mode answers questions directly with rich insights and comparison grids, traffic could drop for review sites, affiliate creators, and niche publishers. Their expertise trains the model, but they may see fewer clicks. The overall picture is clear: Google wants to own the shopping journey end to end. The Shopping Graph is the warehouse, Gemini is the salesperson, and agentic AI is the fulfilment agent that monitors price changes and completes the purchase. Shoppers stay inside Google’s ecosystem, while merchants and creators adapt to a new reality where optimisation happens for the Graph, not just for traditional search. Take the next step in AI adoption for your business. Visit www.imbila.ai http://www.imbila.ai/services