For years, Amazon SEO was basically a game of hide-and-seek with an algorithm that matched search terms to product listings. Stuff enough keywords into your title, bullet points, and backend search terms, and you'd rank. It wasn't elegant, but it worked.
That era is over. And most sellers haven't noticed yet.
Meet COSMO: The Algorithm That Actually Thinks
Sometime in late 2024, Amazon quietly deployed COSMO across its search infrastructure. COSMO isn't a keyword matcher. It's a knowledge engine — an AI system that understands intent rather than just matching text strings.
Here's the difference in practice. Under the old system, a customer searching for "gentle face wash for sensitive skin" would get results based on which listings contained those exact words (or close variations). Under COSMO, the algorithm understands that this customer probably also cares about fragrance-free formulations, hypoallergenic ingredients, and dermatologist recommendations — even if they didn't type any of those words.
This means a listing that reads naturally and addresses the customer's actual concerns will outrank one that's been stuffed with every possible keyword variation. Amazon's own "Enhance My Listing" tool, launched in May 2025, now uses AI to suggest titles and descriptions that align with how COSMO processes content. That's Amazon literally telling you: write for humans, not robots.
Rufus Changed Everything (and Nobody's Talking About It)
While everyone was debating keyword strategies, Amazon's AI shopping assistant Rufus quietly generated $12 billion in incremental sales in 2025. Over 300 million customers used it, and those customers were 60% more likely to make a purchase than those who didn't.
Rufus doesn't search the way you and I search. It has conversations. A customer might ask Rufus, "What's a good moisturizer for dry winter skin that won't break me out?" and Rufus will recommend specific products based on a combination of listing content, review sentiment, ingredient analysis, and purchase patterns.
If your listing reads like a keyword salad — "moisturizer face cream dry skin winter hydrating non-comedogenic" — Rufus doesn't know what to do with that. But if your listing tells a coherent story about who the product is for and why it works, Rufus can match it to conversational queries with remarkable accuracy.
Here's the kicker: Rufus now shows Sponsored Ads within its recommendations. So your advertising strategy and your organic content strategy are no longer separate things. They're the same thing, evaluated by the same AI.
The Google-Amazon Flywheel
There's another ranking signal that's become impossible to ignore: external traffic. Amazon now explicitly rewards listings that receive traffic from outside the platform — particularly from Google — that converts into sales.
This creates what we call the Google-Amazon Flywheel. A brand that ranks well on Google for informational queries ("best serums for hyperpigmentation") and funnels that traffic to their Amazon listing gets a double benefit: the direct sales from that traffic, plus an organic ranking boost on Amazon itself.
For brands, this is a massive advantage over generic resellers. A brand can create blog content, YouTube videos, and social media posts that drive qualified traffic to their Amazon listings. A random reseller can't do that credibly. This is one of the clearest examples of how Amazon's algorithm now favors brands over arbitrageurs.
What Actually Matters for Rankings in 2026
So if keywords aren't the game anymore, what is? Based on everything we're seeing in the data, here's what's actually moving the needle:
Inventory consistency has become a surprisingly powerful ranking factor. Stockouts don't just cost you sales during the outage — they cause persistent ranking suppression that can take weeks to recover from. Amazon's algorithm interprets stockouts as a reliability signal, and it remembers.
Review quality over quantity is another shift. Amazon now weighs "helpful" votes on reviews more heavily than raw review count. A product with 200 reviews where 80% are marked helpful will often outrank a product with 2,000 reviews where only 20% are marked helpful. The algorithm is getting better at detecting review quality, and it's using that as a trust signal.
Mobile performance is evaluated separately from desktop, and given that over 50% of Amazon traffic now comes from mobile devices, this matters enormously. Listings with images that render poorly on mobile, or A+ Content that doesn't adapt to smaller screens, are being penalized in mobile search results.
Title discipline is being enforced more strictly than ever. Amazon's 200-character limit is now a hard guideline, and listings that exceed it or engage in obvious keyword stuffing are seeing ranking penalties. The algorithm wants titles that a human can read and understand in two seconds.
A+ Content has evolved beyond a nice-to-have. Shoppable carousels and in-content add-to-cart buttons are now available, turning your brand story page into a direct conversion tool. Brands using these features are seeing measurably higher conversion rates, which feeds directly back into ranking.
The Bottom Line for Brands
The shift from keyword matching to intent understanding is the biggest change to Amazon search in a decade. And it overwhelmingly favors brands that tell authentic stories about their products over sellers who treat listings as keyword containers.
If you're a brand with a real story to tell — about your ingredients, your manufacturing process, your customer community — Amazon's algorithm is now built to reward you for telling it. The sellers who thrived by gaming keyword density are the same ones who disappeared in The Great Compression. That's not a coincidence.
The brands that will win on Amazon in 2026 and beyond are the ones that treat their listings like what they actually are: the first conversation with a potential customer. Make it a good one.