Amazon's New Trend: How Sellers Can Gain an Edge as Shopping Assistant Rufus Starts Selling Ads?
Amazon's New Trend: How Sellers Can Gain an Edge as Shopping Assistant Rufus Starts Selling Ads?
News2025-12-24
Have you noticed that when searching on Amazon, an AI shopping assistant called Rufus will automatically pop up, chat with you like customer service, and accurately recommend products? A more important change behind this is that Rufus has started to carry advertising space, and a new traffic portal is opening up to us.
1、 What is Rufus? ——Not just search, but also conversational shopping Rufus is a shopping assistant created by Amazon based on generative AI, which learns from massive product catalogs, user reviews, and community Q&A. It can answer complex questions such as' How should I choose? '' What is the difference between these two? '' Which one is more suitable for me? '.
Simply put, when buyers shift from "keyword search" to "natural language questioning" (such as "which backpack is suitable for girls?"), Rufus uses chat to provide more accurate and interactive recommendations.
2、 Why do we need to value Rufus advertising space? ——New Blue Ocean, Low Competition
1. New traffic entry=low competitive opportunities When AI assistants begin to dominate "solution oriented" questioning, the positions they recommend become "golden positions". At present, many brands have not fully adapted to this new entry, which is an excellent opportunity to seize the initiative.
2. Commercialization of advertising is a foregone conclusion Amazon is currently experimenting with inserting sponsored products directly into Rufus' conversation results. Although advertising data is still classified as "Other" and only tested on a small number of users, the trend is very clear: Rufus' path to commercial monetization has begun.
3、 Do we still need semantic optimization with advertisements? ——Absolutely necessary! This is a key cognitive misconception. Even if advertising can be placed, it does not mean that semantic optimization can be abandoned. Advertising is a 'channel', and content is' fundamental ': advertising space is just a channel for products to be' seen '. If your product copy, listing content, comments, and other semantic signals are weak, even if you pay to display them, the conversion rate may be very low.
AI is becoming more and more "knowledgeable": as the system evolves, Rufus' recommendations will increasingly rely on semantic understanding rather than just advertising bidding. Only listings with clear, structured content that conform to consumers' natural language habits can receive priority recommendations.
The risk of abandoning semantic optimization: Poor advertising effectiveness: The advertisement is displayed, but the conversion rate is low due to the content not matching the user's intention.
Missing out on free traffic: Completely absent from non advertising natural recommendations due to a lack of "dialogue".
Long term cost escalation: When competition for advertising space intensifies and there is no high-quality content to protect it, relying solely on bidding will only lead to higher costs and poorer results.