How Does Amazon COSMO Work?

Amazon COSMO is part of Amazon’s newer search and discovery framework that incorporates intent and behavioural signals alongside keyword relevance. COSMO understands the purpose of the search, rather than relying primarily on keyword matching alone.

How COSMO has Changed Search: Keywords to Intent

Unlike the older Amazon algorithms that relied on exact keyword matching, COSMO now uses large language models to construct a Knowledge Graph,  to better connect products to shopper needs.

For example, if a customer searches for a “yoga mat for joint pain,” COSMO may infer that “cushioning and joint support” are important attributes, even if those specific keywords aren’t in your title. If your Amazon Ads aren’t performing as expected, the reason is usually that your product listings lack the Intent Signals (e.g., “sensitive knees/joint pain”) that help Amazon systems better understand your product’s use case.

We go into detail here about decoding the Amazon Science report to help you turn these technical COSMO insights into an actionable strategy.

​​Why Is Amazon COSMO Important for Sellers?

Understanding COSMO is paramount for performing well on Amazon, as many sellers now feel stuck when traditional SEO tactics no longer drive sales. Sellers must now move away from keyword strings, toward human-based solutions.

It Eliminates Keyword Stuffing

For years, the key to Amazon performance was squeezing as many high-volume terms into your title as possible. After the introduction of COSMO, this is a liability that can lead to penalties. COSMO has the ability to read your listing like a human and if your copy sounds robotic, it is deemed less relevant to a shopper’s actual needs.

It Powers the Voice of “Rufus”

Think of COSMO as the brain and Rufus (Amazon’s AI shopping assistant) as the voice. When a customer asks Rufus for the “best yoga mat for someone with bad knees,” Rufus queries COSMO’s Knowledge Graph. If your listing only says “thick yoga mat” but doesn’t explicitly mention the benefit for joint support, Rufus won’t recommend your listing.

It Analyses Search Buy Behaviour

COSMO builds semantic links based on what people actually do. If users search for “yoga mats” but frequently buy “yoga grip socks” in the same session, COSMO creates a link between these items in its Knowledge Graph, understanding they are contextually related even if they belong to different categories.

How to Optimise for the “Answer Engine” Era

To optimise your search results on the amazon cosmo platform, you must shift your focus from technical specifications to intent-driven “Use Cases”.

Prioritise Intent Nodes

“intent nodes” is a framework we use to map attributes to shopper needs that explicitly maps your product’s physical attributes to a user’s “Why,” securing a high-confidence recommendation. Instead of just listing material or thickness (e.g., “6mm TPE”), sellers should highlight the human-based solution (e.g., “extra-cushioned support to protect sensitive knees”). 

Lower Hallucination Risk with Literal Data

AI assistants like Rufus are intentionally conservative, which means AI shopping assistants tend to favour listings with clearer, well-supported claims, these are categorised as a “Hallucination Risk”. 

Be Explicitly Literal: Use “if/then” logic to match products to needs (e.g., “If you are looking for joint protection during floor poses, then our mat provides impact absorption to reduce knee strain”).

Verification through Consistency: Ensure your A+ content, bullet points, and lifestyle imagery tell the same story. If your listing text promises “superior grip for difficult yoga poses,” your photos must clearly show a practitioner holding a steady, advanced pose on the mat.

Final COSMO Takeaway

The practical takeaway is that keyword stuffing alone is no longer enough. Listings perform better when they clearly connect product attributes to real customer use cases. Brands that explain what the product does, who it’s for, and when it should be used tend to align better with newer Amazon discovery systems. Read here for more about Amazon Flywheel strategy and how to accelerate growth with COSMO insights in this related guide.

If you have any queries about selling on Amazon or anywhere else, Market Rocket can offer you a free consultation. You can email us at amazon@marketrocket.co.uk  or call 02037459090.