Amazon's search engine gets an AI revolution, and how Rufus Assistant will change the rules of seller traffic

Amazon's search engine gets an AI revolution, and how Rufus Assistant will change the rules of seller traffic

Do you know what kind of technology can completely change the traffic rules of Amazon sellers? Amazon's investment in AI is bearing fruit, and now it's going to incorporate AI into its search engine by launching Rufus, an AI professional shopping assistant. as the main traffic portal for cross-border e-commerce sellers, once the search mechanism is changed, the entire traffic rules will be adjusted in an unprecedented way.

The AI shopping assistant called Rufus is essentially a new search engine that incorporates AI functionality, and is currently undergoing internal testing for some Amazon U.S. users. Unlike traditional shopping search engines, Rufus has a contextual dialog function similar to ChatGPT, and has been trained to use Amazon's on-site product catalog and external network information. For example, it can answer a variety of shopping needs, product knowledge and product comparison questions, and provide accurate suggestions based on the context of the user's question.

What's even more remarkable is that Rufus can help customers better discover what they need based on their common Amazon shopping experience habits. Specifically, it helps buyers understand what they need to focus on when shopping, such as "what to consider when buying headphones"; it can recommend products precisely by scenario or purpose, such as "gear recommendations for cold weather golf"; and it can provide detailed product comparisons, such as "the difference between a drip coffee maker and a hand-brewed coffee maker".

Far more powerful than a typical search engine, Rufus can also provide personalized recommendations based on user habits, such as "Valentine's Day Gift Choices", or even answer specific questions on product detail pages, such as "Is this racket suitable for beginners? It will analyze product listing page information, customer reviews and community Q&A to generate answers.

In fact, the QA section of Amazon's mobile details page has started to be updated, and some listings can get detailed AI-generated answers to questions asked in the dialog box. Rufus goes one step further by not only adding community Q&A content, but also remembering user habits and providing more personalized answers.

For cross-border e-commerce newbies and branded sellers, this means that content layout has never been more important. Your experience is already lagging behind the times. Starting from R&D or product selection, you need to prepare rich marketing content, forming multi-media content with product selling points, usage scenarios, comparisons to similar products, etc. On-site, you need to optimize product descriptions, A+ pages, Posts, Videos, etc. Off-site, you also need to optimize content layout. You need to optimize product descriptions, A+ pages, Posts, Videos, etc. on the website, and post relevant content on forums, social media, and vertical websites outside the website.

I really don't know if the SEO optimization we have invested in all these years is still applicable to the AI era. Only with enough and accurate content can AI shopping assistants capture and accurately deliver to target consumers. The more attractive the content, the higher the conversion rate, the lower the return rate, and the higher the profit margin. In the next stage, improving the competitiveness of product content will become a new battlefield for Amazon sellers!

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# Amazon AI Assistant #Rufus Shopping Assistant # Cross-Border Ecommerce Traffic # Content Marketing Strategy # Amazon Seller #AI Search Engine # Product Content Optimization

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