Do you know what kind of Amazon seller will win more traffic in the age of AI algorithms?

Do you know what kind of Amazon seller will win more traffic in the age of AI algorithms?

Do you know what kind of Amazon sellers will win more traffic in the age of AI algorithms? The answer is: sellers who can adapt to the new era of "a thousand faces"! Recently, the hottest topic in the Amazon seller community is whether the A9 algorithm will be replaced by a new generation of AI recommendation engine. This news means a huge change for cross-border e-commerce sellers, because the Amazon platform has officially entered the era of personalized recommendation driven by AI.

According to Amazon's official AI traffic engine policy announcement, there are currently two major traffic engine distribution mechanisms on the platform: the original A9 search engine and the newly updated AI recommendation engine. The Amazon recommendation engine is a machine learning-based system that analyzes the user's shopping history, browsing behavior and other information to predict the products that may be of interest to the user and recommend products.

Most surprisingly, this recommendation mechanism has contributed more than 35% of platform revenue for Amazon! With the continuous improvement and update of the machine learning system, the situation of "thousands of people, thousands of faces" is taking shape. Amazon has announced two AI recommendation model will completely change the rules of the game:

1. New AI Intelligent Algorithm COSMO: This system mines common sense knowledge from user behavioral data to construct a knowledge graph, which has been successfully deployed for search relevance, user session-based recommendations and search navigation. Experiments have shown that the algorithm can increase conversion rate by 0.7%, which can generate $4.9 billion in additional sales annually.
2. The new AI search engine Rufus: similar to the shopping guide function, buyers can directly talk to the AI to get more accurate product recommendations. It has been trained on Amazon's extensive product catalogs, buyer reviews, and more, and can answer buyers' questions about various shopping needs.

Based on these changes, it is possible to predict how Amazon may change in the future:

1. Recommended traffic will share away part of the search traffic, no longer pure search algorithm e-commerce, will be biased towards the interest of the e-commerce
2. Labeling of product attributes, which requires more granular categorization of various attributes
3. The keyword ranking mechanism may change, and traditional keyword research may shift to examining the needs of the population
4. Differentiated products will receive more referral traffic, while competition for homogenized products will become more intense.
5. Advertising is still the main focus of the operation, and the current advertising mechanism should not be changed too much.

For cross-border newbie sellers, content layout becomes extremely important. On-site titles, product descriptions, A+, and videos are all done well, and off-site content is gradually released on major social media. Only by keeping up with Amazon, understanding and adapting to new trends in advance, can we stay competitive in the highly competitive e-commerce market.

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# Amazon algorithm # cross-border e-commerce #AI Recommendation Engine # Thousands of People # COSMO algorithm #Rufus # cross-border sellers # product differentiation # e-commerce entrepreneurs