Article Information Updated April 2025.
Beginning with ‘Archie,’ in 1990, then ‘Ask Jeeves’, ‘Yahoo’, and finally ‘Google’, internet search engines have continuously refined the art of organizing and understanding the vast expanse of the internet. As a result, searchers (like you) can now find exactly what they need, precisely when they need it.
It’s no surprise that retail giants like Amazon pay close attention to how customers navigate their marketplace, and over the years they’ve adopted this ‘search engine’ mindset to optimize for the searching customer:
If you want your listings to attract the right audience and drive conversions, landing on the first page is essential: that starts with strong Amazon store optimization. But to get there, you need to understand how the algorithm works.
In this article, we’ll break down what it takes to capture attention on Amazon, including how buy box optimization plays a critical role beyond the simple ‘more views = more sales’ equation. You'll gain a deeper understanding of optimization and how it truly impacts success.
Amazon’s algorithm works to accomplish one thing – to find, rank, and return the most relevant product listings for a search query. Amazon differentiates itself from other search platforms through its obsession with ‘user intent’ and how it adjusts its algorithm to fit the audience's needs. Rather than casting a large net to capture anything related to the query, Amazon focuses on products, benefits, and features to find specific items that the customer is ready to buy.
The Amazon algorithm focuses on two areas: performance and relevance. Both of which directly influence your ability to win the Buy Box. This means that a product with a strong sales history will rank higher. In the same manner, a product listing incorporating appropriate keywords and expansive content will also appear higher on the SERPs.
A notable example of the role this content piece plays in the overall ranking and performance of products is Amazon’s premium A+ content. Pushing premium content can positively impact sales velocity. According to Amazon, this results in over a 5% increase in sales due to increased traffic and conversion.

Here are other, more detailed, factors that Amazon takes into consideration:
One thing to note is that although these are the current ranking factors algorithms are in a constant state of flux and always adjusting to improve the user experience. One of our in-house experts, Content Optimization, Manager Debra Bettinger, had this to say about Amazon’s constant work to evolve its algorithm to better suit the customer:
“Amazon's algorithm has evolved to improve customer shopping experiences and search result relevance. Enhancements in natural language processing have sharpened relevance matching. The algorithm now offers more personalized search outcomes by analyzing users' past behaviors, preferences, and search history, ensuring a tailored shopping experience. Moreover, advancements in machine learning and AI, along with mobile optimization, have made the algorithm more adaptable and efficient, significantly enhancing both the user interface and seller opportunities on Amazon. By focusing on these areas, Amazon has continuously refined the algorithm, making it more efficient, user-friendly, and effective at connecting customers with the products they're looking for.”
New algorithm updates are continuing to happen as Amazon wants to ensure that they stay ahead of the game. The only way to do that? Figure out innovative technologies to help cater to buyers and improve customer service.
Amazon has done just that by implementing a soft update of the Amazon A9 algorithm. Here’s what’s different:
Amazon’s latest algorithm update, A10, shifts away from A9’s heavy emphasis on sales velocity and PPC ads, instead prioritizing customer engagement, seller authority, and external traffic. The focus is no longer just on big brands with large advertising budgets—it’s on delivering value and relevance. As Amazon continues evolving, sellers who prioritize authenticity, customer experience, and multi-channel engagement will have the best chance of success.
These new adjustments to their ranking factors aren’t all Amazon is doing to take customer experience to the next level. They’re a company built from innovation, and they continue to seek out ways to both connect and enhance.
“Amazon is continuously refining its algorithm, focusing on enhanced personalization, voice search optimization, and mobile experience improvements. By leveraging AI, Amazon aims to deliver more tailored shopping experiences, showing customers the most relevant products.
With the rise of smart speakers and voice assistants, Amazon is likely to optimize for natural language searches, making it easier for shoppers to find products through voice commands. Additionally, as mobile shopping grows, the algorithm will adapt to users' browsing habits, ensuring a seamless experience across devices.” - Debra Bettinger, Content Optimization Manager
Understanding optimization and doing optimization don’t always go hand in hand. It can be difficult to know where to find buyer trends and to know what content your buyers need while packaging it in a way Amazon can use.
“To effectively optimize for Amazon, begin by researching and incorporating relevant keywords in your listing copy and titles, enhancing discoverability. Don't overlook the power of backend search terms; although invisible to customers, they are crucial for boosting your product's visibility.
Ensure your listings feature informative and compelling product titles, high - quality images, and detailed, persuasive descriptions as part of a broader ecommerce strategy and bullet points to attract and inform potential buyers.
Additionally, leverage optimizable and visually engaging content options like A+, Premium A+, Brand Stories, and Amazon Stores to strengthen your branded ecommerce presence to significantly improve conversion rates by offering a more immersive shopping experience.” - Debra Bettinger, Content Optimization Manager
The reality is technology is ever-expanding. Machines are doing more to connect with and understand the humans around them. As brands, you need to do the work to allow these machines to represent you and get in front of potential buyers. As an ecommerce omni-channel accelerator it’s our job to do the hard stuff – create optimized listings that machines can translate, and buyers can resonate with.