How to Rank on Amazon in 2026?

How to Rank on Amazon in 2026? This isn’t just a catchy headline, it’s the reality sellers are stepping into right now. Amazon is no longer just a place where customers type in keywords and scroll through results, it’s quickly becoming an AI-driven shopping experience.

For years, sellers have relied on keyword optimization, ranking hacks, and conversion tricks to win visibility. But with the introduction of Rufus (Amazon’s conversational AI) and the new Cosmo algorithm, the rules have fundamentally changed.

Today, customers don’t just search, they ask. They describe problems, compare options, and expect intelligent recommendations. Amazon is adapting fast to keep that entire journey on its platform.

That shift has huge implications for sellers.

The way your product listing is written, structured and even understood by the algorithm now plays a much bigger role than simply inserting the right keywords. It’s no longer about what you say, it’s about how well Amazon’s AI understands what you mean.

In this interview, we sat down with Jon Tilley, Founder & CEO of ZonGuru, to break down exactly what’s changing, what still matters and how sellers can adapt their listings to stay visible in this new AI-driven ecosystem.

How people actually shop on Amazon now

Not long ago, shopping on Amazon was simple: type in a keyword, scroll through results, compare a few listings and make a decision.

That behavior is changing fast.

Instead of searching with short phrases like “coffee maker” or “running shoes,” customers are starting to ask full questions, the same way they would in tools like ChatGPT. They’re looking for recommendations, comparisons, and answers tailored to their specific needs.

This is exactly where Rufus comes in.

Rufus is Amazon’s conversational AI assistant, designed to guide users through the entire discovery process. Instead of forcing customers to refine search queries over and over again, it allows them to describe what they want in natural language and then surfaces products that best match that intent.

For example, instead of typing:
“ergonomic office chair”

A customer might ask:
“What’s the best office chair for long hours and lower back pain?”

That shift may seem subtle, but it completely changes how products get discovered. Now, it’s not just about matching keywords, it’s about how well your listing answers real customer questions.

Even more importantly, Amazon is keeping users inside this conversational flow. Customers can research, compare and even purchase products without ever going through the traditional search results page.

And the impact is already significant.

According to Amazon data shared in the interview, over 250 million shoppers are already using Rufus, and those users are 60% more likely to convert compared to traditional search.

That means one thing:

If your product isn’t optimized for this new way of shopping, you’re not just losing visibility, you’re missing out on higher-converting traffic.

Why keyword optimization is no longer enough?

Let’s be direct: keyword optimization didn’t stop working overnight, but it’s no longer the thing that gives you an edge.

Most listings on Amazon are already “keyword optimized”. Everyone is using the same tools, targeting the same search terms, and following the same playbook. That means keywords alone are no longer a differentiator, they’re just the baseline.

What actually separates products now is how well your listing explains itself.

When a customer lands on your product, whether through search or through a recommendation, Amazon is evaluating how clearly your content answers the question behind that click.

Not just:
“Do you have this keyword?”

But:
“Is this a good answer to what the customer is looking for?”

That’s a very different standard.

It also explains why two listings targeting the same keywords can perform very differently. One simply describes the product. The other makes it obvious who it’s for, what problem it solves, and why it’s a better choice.

The second one wins, not because of better keywords, but because it makes the decision easier. And that’s exactly what Amazon’s AI is trying to do: reduce friction between intent and purchase. So yes, keywords still matter. But they’re no longer where the real leverage is.

Inside Amazon’s new algorithm 

If there’s one thing most sellers underestimate right now, it’s how much Amazon’s algorithm has already evolved.

What used to be a ranking system heavily influenced by keywords has quietly turned into something much more advanced, an AI-driven model designed to understand products, not just index them.

Amazon calls this new system Cosmo.

As Jon Tilley explains in the interview, “It’s an intelligent AI algorithm that helps with organic search, but more importantly, with discoverability through conversational search.”

That second part is the real shift.

Cosmo isn’t just ranking products based on what users type, it’s working behind the scenes to match products with intent, especially within Rufus. That means your listing is no longer just competing in search results, but also in recommendations generated by AI.

And that changes the game.

Instead of relying on keyword signals alone, the algorithm is now trying to understand:

• what your product actually does
• when and how it’s used
• who it’s for
• and how it relates to other products

Jon described it simply: “You’re not stuffing your listing with keywords anymore… you’re creating content that speaks to your positioning and connects with your customers.”

There’s also a technical layer behind all of this, something referred to as knowledge graph mapping, which helps the algorithm connect your product to different use cases and contexts.

The key takeaway here is:

Cosmo rewards clarity, relevance and context, not just keyword density.

If you want to go deeper into how Amazon ranking systems are evolving and what actually drives visibility in 2026, you can read more in this breakdown: The Amazon Ranking Strategy That Works in 2026

How to optimize your listing for AI without sounding robotic?

As Amazon continues to evolve toward AI-driven discovery, many sellers react by over-engineering their content to “fit the algorithm”. This often leads to listings that are overly structured, repetitive or unnatural in tone, which ultimately hurts both customer engagement and conversion performance.

Modern Amazon listings need to be structured enough for AI systems like Cosmo and Rufus to correctly interpret meaning, but still natural enough to persuade real human buyers. These systems are no longer just scanning for keywords, they are interpreting intent, context and clarity of communication.

Jon highlights this shift clearly: “Now you have the ability to really communicate your unique selling proposition and understand what customers really care about and connect with them on that level.” This means sellers have more creative flexibility than before, but also more responsibility to be precise in messaging.

Effective listings today focus less on keyword density and more on:

• clearly defined benefits and outcomes
• specific use cases and real-life scenarios
• simple, human-readable language
• emotional relevance and decision clarity

If you’re just getting started or want to improve your overall Amazon strategy, it can also help to understand what a solid foundation looks like. This breakdown of The best Amazon FBA course 2026 is a good place to explore that

At the same time, structure still matters. AI systems rely on well-organized information to properly classify and recommend products. The best-performing listings are therefore not written “for AI” or “for humans” exclusively, they are written for both, where clarity serves both interpretation and persuasion at the same time.

Watch the full interview: How to Rank on Amazon in 2026?

The shift Amazon is undergoing is not incremental, it is structural. With AI systems like Rufus shaping how users discover products and Cosmo redefining how listings are interpreted, the entire logic of visibility on the platform is changing.

What used to be a relatively predictable system based on keywords, ranking tactics and optimization hacks is now becoming a dynamic environment where intent, context and content quality determine performance.

This means that sellers who continue to rely solely on traditional SEO strategies will gradually see diminishing returns, not because those strategies are completely irrelevant, but because they are no longer sufficient on their own.

As this interview with Jonathan Tilley shows, success on Amazon is no longer just about being found. It is about being correctly understood and confidently recommended within an increasingly intelligent system.

Watch the full interview with Jon Tilley about “How to Rank on Amazon in 2026?” here for the complete breakdown: