If you’ve been searching for tips on how to make the most of Amazon’s new AI Shopping Assistant, you’ve probably seen one word popping up everywhere: COSMO.
Some articles describe it as Amazon’s newest search algorithm. Others make it sound like the secret behind product rankings. And with the launch of Alexa for Shopping, you might assume that this mysterious “COSMO” is the engine powering every AI recommendation Amazon makes.
It’s complicated. Amazon has published research on COSMO, but the two-year-old paper isn’t a guide to ranking products or a roadmap for gaming search results. It’s a research piece describing a system that helps Amazon better understand shoppers, products, and the relationships between them.1
That might not sound as exciting as uncovering hidden ranking factors, but it is still important. The more Amazon understands why someone is shopping for a product instead of simply what they typed into the search bar, the better it can connect shoppers with relevant products. So what do sellers need to know about all of this?
Find out what COSMO actually is, why everyone’s suddenly talking about it, and what it means for your Amazon listings.
What Is Amazon COSMO?
According to Amazon, COSMO stands for Common Sense Knowledge Generation and Serving System.1
Amazon’s research describes how the system identifies likely customer intentions and relationships between products and real-world situations. They illustrate this with the example of someone searching for: “Shoes for pregnant women.”
A traditional search engine might focus almost entirely on matching those exact words with product listings. COSMO looks beyond the keywords. Someone shopping for shoes during pregnancy may also care about things like slip resistance, comfort, stability, or support.1
Those relationships aren’t always written explicitly in a product listing. So Amazon’s system learns them by analyzing massive amounts of shopping behavior and using large language models to generate what it calls “commonsense knowledge.” The goal is to understand why customers purchase certain products and how products relate to different needs or situations.1
People shop with goals in mind. They’re not just buying a yoga mat, they’re setting up a home gym. Buying a watch means buying an anniversary gift. Searching for an ugly Christmas sweater means preparing for an office holiday party or family contest.
Understanding those connections helps Amazon deliver more relevant recommendations and search experiences.
Why Everyone Is Suddenly Talking About COSMO
COSMO isn’t actually new. Amazon published its research on COSMO in 2024, but until recently, most sellers had never heard of it.
Interest has picked up because Amazon continues investing heavily in AI-powered shopping experiences, most notably with Alexa for Shopping. As conversational shopping becomes more common, people naturally want to understand what’s happening behind the scenes.
That’s led to plenty of speculation by not just Amazon sellers but also third-party service providers. Some articles imply COSMO completely replaces traditional Amazon SEO, but this interpretation doesn’t really match what Amazon published.
COSMO gives us a glimpse into how Amazon is thinking about shopper intent, which is helpful because Amazon’s direction has been pretty consistent over the past several years. The company continues to invest in systems that better understand products, customer behavior, and the context behind every search. And Alexa for Shopping is another example of that.
How COSMO Works (Without Getting Too Technical)
Amazon’s paper explains that COSMO analyzes large amounts of customer behavior, including searches and purchasing patterns, to identify common relationships between products and customer intentions.1
For example, shoppers who purchase hiking backpacks might also search for water filters, trekking poles, or lightweight camping gear. Amazon wants to understand why those products belong together.
The answer isn’t simply “customers bought these together.” It’s something closer to: “People preparing for multi-day hiking trips frequently need these products.” The added context is useful when Amazon tries to understand future shoppers with similar goals.
Again, the word commonsense appears throughout Amazon’s research paper, which is probably the easiest way to understand what makes COSMO different.
Think about this search: “Desk chair for lower back pain.”
A traditional search system might focus on matching those words exactly. A commonsense system understands related concepts like lumbar support, ergonomics, adjustable height, long hours at a desk, and posture improvement.
Those ideas aren’t identical keywords. They’re connected because they describe the same customer problem. Amazon’s research explains that COSMO builds knowledge around these types of relationships so its systems can better understand customer intent instead of relying entirely on literal keyword matching.1
Another key piece of COSMO is something called a knowledge graph. Products connect to features, features connect to customer needs, customer needs connect to shopping situations, and shopping situations connect to other products.
Instead of viewing every product as a standalone listing, Amazon can figure out how products fit into larger contexts. This is valuable when customers ask broader questions and kick off conversations instead of typing short keyword searches.
COSMO & Alexa for Shopping
Amazon is putting more emphasis on understanding shoppers instead of simply matching keywords. That doesn’t necessarily mean Alexa for Shopping runs on COSMO. Amazon hasn’t said that. But the two do point in the same direction.
Amazon describes COSMO as a system for generating commonsense knowledge that helps its services understand customer intent and product relationships.1 Alexa for Shopping uses AI to answer detailed shopping questions, compare products, summarize reviews, and make recommendations based on a customer’s request.2
Those experiences depend on Amazon understanding a lot more than a handful of keywords. Amazon has to understand who the shopper is, what problem they’re trying to solve, and which products genuinely fit their needs.
The more clearly your listing communicates who your product is for, how it’s used, and what makes it different, the easier it becomes for Amazon’s AI systems to understand it. That benefits traditional search today and positions your listings well as conversational shopping continues to grow.
What Sellers Should Do Next
You don’t need to rebuild every listing because COSMO exists. Most of the best practices for Amazon optimization and Alexa for Shopping conversational outputs are still the best practices today.
Start by looking at your listings through a customer’s eyes.
- Would someone unfamiliar with your product understand who it’s for?
- Do your bullet points explain real benefits, not just specifications?
- Does your description answer common questions?
- Are your images showing the product in realistic situations?
- Would your reviews help another customer decide if the product fits their needs?
These are the same questions Amazon’s AI is trying to answer. So now is the perfect time to also revisit your older listings. If your copy is thin, repetitive, or written primarily for search engines, you could be missing chances to give better context for both shoppers and Amazon’s AI systems.
Don’t get distracted by every new theory about “the algorithm.”
Amazon’s technology will keep improving, and agentic AI will keep changing how people shop. New tools will appear, new features will roll out, and another buzzword will eventually replace COSMO.
Invest in high-quality listings, compelling creative, competitive pricing, strong advertising, and a top-tier customer experience that earns positive reviews.
Need help optimizing your Amazon listings for today’s marketplace and tomorrow’s AI-driven shopping experiences? Amplifyy works with brands across beauty, apparel, sporting goods, home products, and many other categories to improve discoverability, strengthen conversions, and build long-term growth on Amazon. Contact us to get started today.
Frequently Asked Questions
What is Amazon COSMO?
COSMO is Amazon’s Common Sense Knowledge Generation and Serving System. According to Amazon’s research, it helps generate commonsense knowledge about products and customer intent by analyzing shopping behaviors and relationships between products.1
Is COSMO Amazon’s search algorithm?
Not exactly. While many people refer to COSMO as an Amazon algorithm, Amazon’s published research describes it as a commonsense knowledge generation system, not a replacement for its search ranking algorithm.1 It helps Amazon better understand customer intent and product relationships, but the company hasn’t said it determines search rankings on its own.
Does COSMO replace keywords for Amazon SEO?
No. Keywords are still an important part of Amazon SEO because they help Amazon identify relevant products for shopper searches. What seems to be changing is Amazon’s ability to understand context, customer intent, and product relationships alongside those keywords.
How is COSMO related to Alexa for Shopping?
Amazon hasn’t publicly said that Alexa for Shopping is powered by COSMO. But both reflect Amazon’s broader investment in AI systems that better understand shopper intent, answer conversational questions, and connect customers with relevant products. Sellers creating detailed, customer-focused listings are likely to be better positioned over time.
Sources:
1. COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation & Serving System at Amazon, SIGMOD ’24
2. Meet Alexa for Shopping, Your Personalized, Agentic AI Assistant on Amazon, Amazon
