Mayan
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Learn how Amazon's new AI chatbot, Rufus, is transforming customer queries and product searches with natural language processing.
By now you've likely seen or at least heard about Rufus, Amazon's entry into the world of customer service AI chatbots. Built on a generative AI large language model (LLM), Rufus is designed to provide better and more customized answers to customer queries than can be found using search. It also allows customers to perform their product searches using natural language.
The better you understand how this new feature works, the more prepared you will be to create product pages that are optimized for Rufus and the future of Amazon search queries. So, let's dive into Rufus and find out what this new AI is all about.
The first thing to remember when dealing with any kind of generative AI is that words like "think" and "understand" never apply to an LLM. Ultimately, LLMs are an interface, not the "brain" doing the actual thinking in an application like Rufus that provides reliable answers.
An LLM creates responses to natural language based on probability. It handles the words, both in terms of creating responses that sound similar to how a person writes or talks, and in terms of enabling a computer to process the language humans use to ask a question or make a statement as they would to another person.
Left to its own devices, an LLM will act like a person who is a bit insecure. It will provide responses that are likely to match the user's expectations, even if it has to make the entire answer up. In order for an AI like Rufus to function, it has to be tied to other, more reliable algorithms that provide the actual information.
So, why would Amazon want to use an LLM to answer customer queries? Because it permits users to phrase their queries the way they would to another human, such as, "I need something to hold my door open, you know, one of those triangle things."
A human would understand that the person wants a wedge-shaped door stop, but if a customer entered that into a normal search query, who knows what they might get back. In contrast, Rufus can take that information and encode it so that it will make sense to a computer.
Rufus is also able to use information it already knows about the customer, such as their past searches and purchases, to help it zero in on what they want. Even details such as the customer's location, the time of day, and the device they are using will be factored in.
Even in the era of Rufus, the old rules about product listings still apply. You need high-quality visuals, clear descriptions, and relevant keywords. However, there are some things to pay special attention to so that the algorithm doesn't pass you by:
As an FBA seller, it's easy to feel like you are constantly playing catch-up, whether that means staying on top of your inventory or just keeping up with new Amazon policies and technology. Some days, you might wish that you had a Rufus on your end that you could just ask for all the answers.
While Amazon has yet to roll out an AI with all the answers for FBA sellers (though you should definitely take advantage of the AI tools they do provide), that doesn't mean you have to handle everything on your own.
Mayan's former Amazon sellers understand your challenges and our cutting-edge tools help you develop PPC campaigns that deliver results. From keyword research and competitor analysis to ad automation and bid optimization, we offer a comprehensive suite of services designed to maximize your visibility and drive sales.