Amazon search is evolving beyond simple keyword matching. While keywords, titles, bullet points, and PPC data still matter, Amazon is increasingly using AI to understand shopper intent and product relevance.
Amazon’s shift toward AI shopping is already visible. In 2025, Amazon reported that Rufus helped more than 300 million customers shop, and in May 2026, Amazon brought Rufus and Alexa+ together under Alexa for Shopping for U.S. customers.
That means shoppers are no longer just typing short keywords. They are asking product questions, comparing options, and expecting Amazon to understand context before they buy.
COSMO, short for Common Sense Knowledge Generation and Serving System, is one of the research-backed technologies behind this shift. Amazon describes COSMO as a system that mines user-centric commonsense knowledge from customer behavior data, uses large language models and human-in-the-loop refinement, and helps build ecommerce knowledge graphs for search applications such as search navigation.
For Amazon sellers, optimizing listings is now about more than just ranking for keywords. You also need to clearly show product benefits, use cases, and what customers can expect.
In this guide, we’ll explain the Amazon COSMO algorithm, how it changes product discovery, and the practical steps sellers can take to optimize listings for Amazon’s AI-driven search experience.
What Is the Amazon COSMO Algorithm?
The Amazon COSMO system, often discussed by sellers as the “Amazon COSMO algorithm,” is an AI-driven framework that helps Amazon better understand how products, shoppers, use cases, and buying needs are connected in ecommerce.
COSMO uses large language models, customer behavior data, and knowledge graphs to find common-sense links between shoppers, products, use cases, and what people want to buy.
A simple way to understand it:
This lets Amazon move beyond exact keyword matching and better understand the reason behind a shopper’s search.
For example:
This is why COSMO is important for Amazon sellers. It encourages you to explain not just what your product is, but also who it’s for, when to use it, why it helps, and what proof you have to back up your claims.
What COSMO Means for Amazon Sellers
For sellers, COSMO matters because it goes beyond keyword matching in product content. Amazon may become better at understanding who a product is for, what problem it solves, where it fits, and which attributes support a specific use case.
That does not mean sellers can directly “optimize for COSMO” by adding more backend keywords. A better approach is to improve the full product detail page so Amazon has more useful context.
Focus on three areas:
Listing fields:
Product title, bullet points, product description, A+ Content, Brand Story, image content, backend search terms, product attributes, category fields, and browse nodes.
Customer signals:
Reviews, customer Q&A, repeated customer language, common objections, and real use cases mentioned by buyers.
Performance data:
PPC search term data, Brand Analytics, Search Query Performance data, click-through rate, conversion rate, and sales performance.
The more clearly your listing explains the product, the easier it is for Amazon to understand where your product fits.
What Amazon Has Confirmed vs What Sellers Should Not Assume
There’s a lot of buzz about COSMO, so sellers should be cautious.
Amazon has shared research about COSMO and how it’s used in ecommerce knowledge graphs and search. However, Amazon hasn’t said that COSMO has fully replaced A9 or A10 as the main ranking system.
Also, A9 and A10 are common seller-community labels. Amazon does not always publicly describe its current ranking systems using those terms. Use them as shorthand for traditional Amazon SEO, not as proof that one single algorithm has been replaced.
So sellers should not assume:
- COSMO has replaced all traditional Amazon SEO ranking factors
- Keywords no longer matter
- Backend search terms are useless
- PPC data no longer affects visibility
- A single AI tool can fully “optimize for COSMO”
- Adding longer copy automatically improves rankings
A safer way to think about it:
COSMO is part of Amazon’s broader move toward intent-based search.
Traditional Amazon SEO is still important. Keywords, relevance, conversion rate, click-through rate, reviews, pricing, inventory, and sales history all continue to affect your results.
But COSMO-style systems make one thing more important:
Your listing should explain your product in a way that resonates with real shoppers.
How COSMO Changes Amazon Search and Product Discovery
Amazon search has always tried to show the most relevant products. But older SEO practices often focused heavily on exact-match keywords.
Many older Amazon listings relied on repetitive keyword strings such as:
"stainless steel water bottle, insulated water bottle, sports water bottle, hiking water bottle, reusable water bottle".
That kind of writing might have keywords, but it doesn’t actually help the shopper.
COSMO encourages sellers to use a more helpful approach.
Instead of only repeating keywords, sellers need to build semantic relevance. That means using clear, natural content that explains:
- What the product does
- Who it helps
- Why it is useful
- Where it can be used
- What problem it solves
- What makes it different
- What evidence supports the claim
You don’t need to stop using keywords.
The goal is to make keywords part of a bigger story about your product.
Why Keywords Still Matter in the COSMO Era
Some sellers hear about AI search and assume keywords are dead.
That’s not true.
Keywords still help Amazon understand what your product is. They still matter for indexing, Sponsored Products campaigns, search visibility, and shopper relevance.
But your keyword strategy should change with the times.
Instead of building listings around only one exact-match phrase, sellers should organize keywords by intent.
COSMO-Aware Keyword Clustering
A strong Amazon listing includes exact keywords, related terms, product attributes, and phrases real customers use.
This helps Amazon understand both your product and what shoppers are looking for.
COSMO vs A9/A10 vs Rufus/Alexa for Shopping
Sellers sometimes mix up COSMO, A9/A10, Rufus, and Alexa for Shopping. These are related, but they’re not the same.
The main takeaway:
Amazon SEO is becoming both keyword-driven and answer-driven.
Your listing must rank in search results, but it must also be useful enough for AI shopping assistants to understand and recommend.
When COSMO Matters Most: Specific vs Conversational Searches
COSMO-style optimization is most important when shoppers use broader or more conversational searches.
For example:
That’s why you shouldn’t stop using traditional keyword optimization.
Exact-match and head-term searches still require traditional keyword indexing, clean titles, relevant bullet points, strong images, competitive pricing, and conversion history.
Instead, add COSMO-aware content on top of solid Amazon SEO basics.
How COSMO Uses Knowledge Graph Signals
COSMO is based on the idea that ecommerce data contains common-sense relationships. Amazon’s research describes COSMO as a system that mines user-centric commonsense knowledge from customer behavior data and uses it to build large-scale ecommerce knowledge graphs.
For sellers, the exact ranking inputs are not fully public. A safer way to think about COSMO is that Amazon may learn from patterns such as:
- What shoppers search
- What shoppers click
- What shoppers buy
- Which products are bought or considered together
- Which product attributes appear across similar use cases
- What customers mention in reviews
- What questions shoppers ask before buying
A knowledge graph connects these ideas.
For example:
This does not mean you should skip keywords. It means your listing should provide enough useful detail for Amazon to connect your product with the right shopper intent.
Amazon COSMO Algorithm FABE Writing Guidelines for Bullet Points
One of the best ways to write COSMO-friendly Amazon content is to use the FABE framework. FABE stands for Feature, Advantage, Benefit, and Evidence.
This framework helps sellers move beyond plain feature lists and explain why a product matters to the shopper.
Weak bullet:
Stainless steel water bottle, 32 oz, leakproof, good for gym and travel.
Better COSMO-aware bullet under 255 characters:
Keep your drinks cold for up to 24 hours with this 32 oz insulated bottle. The durable stainless steel design and leak-resistant lid make it a reliable choice for work, workouts, travel, and everyday use.
This version works better because it connects the feature to a real use case, a benefit, and a proof point without keyword stuffing.
When writing FABE-style bullets:
- Start with a specific product feature.
- Explain why that feature matters.
- Connect the feature to a real customer benefit.
- Add proof where you can, such as testing, certifications, review themes, or product coverage.
- Keep bullet length, category rules, and Amazon claim policies in mind.
For regulated categories such as health, beauty, supplements, baby, and electronics, be extra careful with claims like “safe,” “non-toxic,” “medical-grade,” “clinically proven,” or “best.” These claims need proper substantiation and must comply with Amazon’s category policies.
Listing Optimization Strategy for the COSMO Era
A COSMO-aware listing should give context, be complete, and focus on the customer.
Here is how to optimize each part of the product detail page.
1. Optimize the Product Title for Keywords and Use Cases
The title still needs the main keyword. But it should also include important attributes and use cases when space allows.
Weak title:
Stainless Steel Water Bottle
Better title:
32 oz Stainless Steel Insulated Water Bottle, Leakproof Sports Bottle for Gym, Hiking, Travel, and Hot Yoga
This title includes:
- Main product keyword
- Size
- Material
- Benefit
- Use cases
- Shopper intent
Don’t overload the title. Keep it easy to read.
A good title helps shoppers quickly see what your product is and why it fits their needs.
2. Write Bullets That Answer Buyer Questions
Amazon bullets should not only list features. They should answer the questions shoppers are already thinking.
For example, a buyer may ask:
- Will this fit my bag?
- Is it easy to clean?
- Will it leak?
- Is it good for travel?
- Is it safe for kids?
- Will it work with my device?
- Is it comfortable for long use?
- What makes it different from cheaper options?
Use your bullet points to answer these questions clearly.
Example Bullet Structure
3. Use Product Description for Deeper Context
The product description is a good place to explain:
- Who the product is best for
- What problem it solves
- How it compares to alternatives
- How to use it
- What is included
- Care instructions
- Important product details
Don’t just repeat your bullet points. Use the description to give more context.
Example:
“Keep drinks cold for up to 24 hours with this 32 oz insulated bottle. The double-wall stainless steel construction helps maintain temperature, while the leak-resistant lid reduces the risk of spills on the move.”
This kind of copy is more helpful than a generic description because it links product details to real customer situations.
4. Build A+ Content Around Buyer Intent
A+ Content matters because it gives you more space to visually show product benefits.
Amazon reports that A+ Content can improve sales performance, with potential lifts of up to 8% for Basic A+ and up to 20% for Premium A+ Content. Success depends on how well the content informs and guides shoppers through the buying process.
It should clearly explain the product, answer shopper questions, highlight key benefits, and help customers feel confident before buying.
Use A+ Content to show:
- Product use cases
- Before/after comparisons
- Feature-benefit breakdowns
- Size charts
- Compatibility charts
- Comparison tables
- Lifestyle images
- Product care instructions
- Brand trust signals
COSMO-Aware A+ Content Flow
The goal is to make your page easy for both shoppers and AI assistants to understand.
5. Use Images to Tell a Product Story
Images do more than show what your product looks like. They help shoppers understand size, use cases, benefits, and product fit faster.
Do not over-rely on visuals alone. Pair lifestyle images and infographics with clear A+ copy, product attributes, and accurate catalog data so the product story is easy to understand across the full detail page.
A strong image carousel should include:
- Main product image
- Lifestyle image showing real use
- Feature infographic
- Size or dimension image
- Benefit-driven comparison image
- Use-case image
- What’s included image
- Trust, coverage, or certification image
For example, if you sell a travel backpack, do not only show the bag on a white background.
Show:
- The backpack under an airplane seat
- The laptop compartment
- The water-resistant material
- The packing capacity
- The shoulder strap comfort
- The difference between your backpack and a regular school bag
This helps both shoppers and AI systems better understand your product.
6. Complete Backend Fields and Product Attributes
COSMO-style systems depend on structured product information.
Don’t leave important Seller Central fields blank.
Fill out:
- Material
- Size
- Color
- Dimensions
- Compatibility
- Target audience
- Occasion
- Special features
- Included components
- Care instructions
- Safety information
- Search terms
- Complete the fields Seller Central exposes for your category and marketplace
Backend search terms are still important, but they should support your listing rather than be your sole SEO focus.
Use backend fields for:
- Synonyms
- Alternate spellings
- Related terms
- Abbreviations
- Use-case phrases
- Secondary keywords that do not fit naturally in the visible copy
7. Mine Reviews for Customer Language
Reviews are one of the best sources of COSMO-era content ideas.
Why?
Because reviews show how real customers describe the product.
A keyword tool may tell you people search for “insulated water bottle.” But reviews may reveal that customers also care about:
- “doesn’t sweat in my bag”
- “fits in my car cup holder”
- “easy to clean”
- “my kid drops it and it doesn’t break”
- “keeps ice overnight”
- “great for long shifts”
You can use these phrases to improve your listing.
Review Mining Workflow
Do not copy reviews word-for-word in a misleading way. Use review insights to improve clarity.
8. Optimize Customer Q&A
Customer Q&A can help answer product-specific questions, but availability and visibility vary by marketplace and product page. Brands should answer existing customer questions clearly and use A+ FAQ modules when Q&A is limited or not prominent.
Avoid manufacturing fake questions. The goal is to remove buyer confusion with honest, useful answers.
A strong Q&A section should answer questions like:
- Is this product waterproof?
- Does it fit a specific model?
- Is it safe for children?
- How do I clean it?
- What size should I buy?
- Does it come with accessories?
- Can I use it outdoors?
- Is it good for beginners?
Answer questions in clear, natural language.
Weak Q&A answer:
Yes.
Better Q&A answer:
Yes. The bottle is leakproof when the lid is fully closed, making it suitable for gym bags, backpacks, travel, and daily commuting.
The second answer gives more context and helps both shoppers and AI assistants.
Optimizing for Rufus and Alexa for Shopping
In May 2026, Amazon introduced Alexa for Shopping for U.S. customers by bringing Rufus and Alexa+ together. This matters because shoppers are no longer limited to short keyword searches. They can ask questions in the Amazon search bar, compare products, review AI-generated overviews, check price history, track deals, and use more agentic shopping features.
For sellers, the key takeaway is simple: your product detail page should serve as a reliable source of answers.
Amazon’s AI shopping experience may draw from:
- Product titles
- Bullet points
- Product descriptions
- A+ Content
- Product images and surrounding text
- Customer reviews
- Customer Q&A
- Product catalog data
- Information from across the web
That means your listing should answer buyer questions directly, clearly, and accurately.
How to Write for Alexa for Shopping
The clearer your listing answers real questions, the more useful it is for conversational shopping.
Amazon AEO: Answer Engine Optimization for Amazon Sellers
AEO stands for Answer Engine Optimization.
In traditional SEO, sellers optimize for search results. In AEO, sellers optimize for AI-generated answers.
An Amazon AEO tool can help identify missing product answers, weak Q&A coverage, and content gaps that may affect how AI shopping assistants understand the listing. But AEO still depends on accurate product data, compliant claims, and strong customer-focused copy.
Amazon SEO vs Amazon AEO
AEO doesn’t replace Amazon SEO. It adds another layer on top.
Amazon sellers will need both.
Amazon AEO Optimization Checklist
Use this checklist to make your listing more useful for AI shopping assistants.
Traditional Amazon SEO vs COSMO-Aware SEO
You shouldn’t pick between traditional Amazon SEO and COSMO-aware SEO. You need both.
The future of Amazon SEO will be even more detailed, more useful, and more customer-focused.
How COSMO-Aware Content Supports Amazon PPC
COSMO is mainly discussed in the context of organic search and AI discovery, but stronger listing content can also support Amazon PPC performance.
When shoppers click an ad, they still need a product page that matches their intent. If someone clicks an ad for “water bottle for hot yoga,” the listing should clearly explain cold retention, leak resistance, grip, and fit for the use case.
COSMO-aware content can help paid traffic convert better by improving relevance, clarity, and confidence on the landing page. This does not mean COSMO directly changes your PPC bids. It means better content can help your ads send shoppers to a stronger product page.
Amazon SEO and PPC teams should work together by using PPC search term reports, Search Query Performance data, and review mining to improve listing copy.
Can Tools Help With COSMO Algorithm Optimization?
Yes, tools can help. But no tool can magically “turn on” COSMO optimization.
A COSMO algorithm optimization tool can support the process by helping sellers:
- Find semantic keywords
- Group keywords by intent
- Analyze competitor listings
- Mine reviews for repeated phrases
- Generate A+ Content ideas
- Score listing completeness
- Identify missing attributes
- Compare product content against buyer questions
- Track organic rank and keyword performance
- Monitor AI shopping visibility
Tools can save time, but strategy still matters. For example, SalesDuo AI Creative Studio tool is SalesDuo’s proprietary AI listing optimization tool that helps sellers create COSMO-friendly Amazon product page content, including keyword-rich copy, benefit-led bullets, A+ Content ideas, and product page improvements.
A tool may suggest keywords. But a marketplace team still needs to decide:
- Which keywords match the product?
- Which benefits are true?
- Which claims can be supported?
- Which use cases matter most?
- Which images need to be created?
- Which review insights should be added?
- Which PPC and SEO data should guide changes?
That’s why having an expert Amazon SEO strategy is so important.
How to Measure COSMO-Era Listing Optimization
Do not update a listing and guess whether it worked. Record a clear baseline before making changes, then review performance after 2–4 weeks.
Before updating the listing, capture:
- Organic keyword rank
- Search Query Performance impressions
- Click-through rate
- Conversion rate or unit session percentage
- PPC conversion rate
- TACoS
- Key review themes
- Q&A completeness
- A+ Content performance
- Alexa for Shopping visibility checks, where available
After 2–4 weeks, compare the data while controlling for other changes such as price, coupons, inventory, reviews, ad budget, Prime/fulfillment status, and competitor activity.
Measure changes over several weeks. Amazon's performance can fluctuate because of price, inventory, competition, ads, reviews, and seasonality.
Don’t judge a COSMO-era listing update after just a day or two.
Amazon COSMO Optimization Checklist for AI Search
Use this as a copy-paste checklist in your CMS or internal audit workflow. If publishing in WordPress, format the items with real checkboxes for easier scanning.
Keyword and Intent Checklist
- Identify the primary keyword.
- Group secondary keywords by intent.
- Add synonyms and related terms.
- Include attribute-based keywords.
- Include use-case phrases.
- Include customer-language phrases from reviews.
- Don’t stuff your listing with keywords.
Title Checklist
- Include the main product keyword.
- Add important attributes such as size, material, or compatibility.
- Mention a core use case if space allows.
- Keep the title readable.
- Avoid repeating the same keyword unnecessarily.
Bullet Point Checklist
- Use FABE writing.
- Connect each feature to a benefit.
- Mention real use cases.
- Add proof where available.
- Answer common buyer questions.
- Use natural, conversational language.
Product Description Checklist
- Explain who the product is for.
- Describe the problem it solves.
- Add usage scenarios.
- Clarify what is included.
- Mention care, compatibility, or setup instructions.
- Don’t copy your bullet points word-for-word.
A+ Content Checklist
- Use a clear product story.
- Add feature-benefit modules.
- Include lifestyle images.
- Add comparison charts where useful.
- Include trust signals.
- Use FAQ-style content where possible.
- Ensure text and images convey the same message.
Image Checklist
- Show the product clearly.
- Add lifestyle images.
- Use infographics to explain features.
- Add size and dimension visuals.
- Show the product in real use.
- Highlight proof points or certifications.
- Avoid cluttered text.
Review and Q&A Checklist
- Mine reviews for repeated phrases.
- Identify common objections.
- Add missing answers to the listing.
- Improve Q&A responses.
- Encourage detailed customer feedback by giving shoppers a great product experience.
- Use customer language naturally in listing copy.
Backend and Attribute Checklist
- Fill all relevant product attributes.
- Add backend search terms.
- Include alternate names and synonyms.
- Check category accuracy.
- Add compatibility details.
- Ensure your product data remains consistent.
AEO Checklist
- Write answers to buyer questions.
- Include conversational phrases.
- Add natural-language Q&A.
- Make listing content easy to summarize.
- Test product-related questions in Amazon’s AI shopping experience where available.
- Update your content if answers are missing or not accurate.
Common Mistakes Sellers Make With COSMO Optimization
Mistake 1: Thinking Keywords Are Dead
Keywords still matter. COSMO-aware content adds context to your keywords, but doesn’t replace them.
Mistake 2: Stuffing Use Cases Into Every Sentence
Adding phrases like “for gym, for office, for travel, for hiking, for school” everywhere makes your copy hard to read. Only use the most relevant use cases.
Mistake 3: Making Unsupported Claims
Don’t say “best,” “safest,” “medical-grade,” “clinically proven,” or “non-toxic” unless you have real evidence.
Mistake 4: Ignoring Reviews
Reviews often show the exact words customers use. Ignoring them means missing out on valuable content ideas.
Mistake 5: Treating A+ Content as Decoration
A+ Content shouldn’t just look good. It should answer questions, explain the benefits, and help shoppers feel confident about buying.
Mistake 6: Leaving Product Attributes Incomplete
If you leave important fields blank in Seller Central, Amazon has less data to understand your product.
Mistake 7: Overreacting to AI Hype
COSMO matters, but it is not a shortcut to better rankings. Sellers still need strong Amazon fundamentals, including competitive pricing, inventory availability, Prime or reliable fulfillment, high-quality images, compliant claims, reviews, PPC discipline, and strong conversion performance.
Example: COSMO-Aware Listing Rewrite
Let’s say the product is a maternity walking shoe.
Weak Listing Copy
Comfortable women’s shoes with a rubber sole. Good for walking, daily use, pregnancy, and casual wear.
Better COSMO-Aware Copy
Designed for daily comfort during pregnancy, these slip-on walking shoes combine a cushioned insole, lightweight support, and a slip-resistant rubber outsole to help reduce foot strain during errands, workdays, and short walks. The easy-on design makes them easy to put on when bending down becomes uncomfortable.
Why the Better Version Works
You can also map the stronger version to FABE:
This makes the example stronger because it connects the audience, use case, problem, feature, and benefit into a single natural product description.
Recommended Amazon COSMO Optimization Workflow
Use a structured process instead of rewriting listings at random.
- Audit the current listing: Review the title, bullets, images, A+ Content, backend terms, product attributes, reviews, and Q&A.
- Build keyword and intent clusters: Group primary keywords, secondary keywords, attribute terms, use-case phrases, problem-based terms, and conversational queries.
- Mine reviews and Q&A: Look for repeated customer phrases, objections, benefits, and missing answers.
- Rewrite using FABE: Connect each important feature to an advantage, benefit, and evidence point.
- Improve visual content: Use images and A+ modules to show use cases, dimensions, benefits, comparisons, and proof.
- Strengthen product answers: Improve Q&A and A+ FAQ modules so common buyer questions are easy to answer.
- Measure results: Track rank, CTR, conversion rate, PPC performance, Search Query Performance data, and sales after 2–4 weeks.
Treat COSMO-aware optimization as an ongoing process. Amazon AI search will continue to evolve, so listings should be reviewed regularly.
Conclusion
The Amazon COSMO algorithm reflects Amazon’s shift toward more intent-driven, AI-powered search. Keywords still matter, but now your listings need to clearly explain product benefits, use cases, and customer outcomes.
Brands that succeed will combine strong Amazon SEO basics with customer-focused content, detailed product info, helpful reviews, solid Q&A sections, and benefit-focused copy.
Instead of chasing every algorithm update, focus on making listings that answer shopper questions and solve real problems. This will help your products do better in Amazon search, Alexa for Shopping, and future AI-driven discovery.
Want to know if your listings are ready for Amazon’s AI search era?
Book a 1:1 Amazon AI SEO and listing optimization audit with SalesDuo. We’ll review your listing content, keywords, A+ Content, reviews, Q&A, and marketplace data to find opportunities for stronger visibility, clearer product positioning, and better conversion performance.
FAQs About the Amazon COSMO Algorithm
What is Amazon COSMO?
Amazon COSMO is Amazon’s AI-driven search system that uses common-sense knowledge, shopper behavior, and product relationships to understand intent, not just keywords. It helps Amazon connect products with real customer needs and use cases.
How does COSMO differ from A9/A10?
A9/A10 is mainly associated with traditional Amazon search ranking factors such as keyword relevance, sales performance, and conversion signals. COSMO focuses more on intent, context, and knowledge graph relationships, helping Amazon understand why a shopper may need a product.
What is FABE writing?
FABE writing stands for Feature, Advantage, Benefit, and Evidence. It helps sellers write stronger Amazon bullet points by explaining what the product has, why it matters, how it helps shoppers, and the evidence that supports the claim.
What is Alexa for Shopping (Rufus)?
Alexa for Shopping, formerly known as Rufus, is Amazon’s AI shopping assistant. It helps shoppers ask questions, compare products, and discover items using product listings, reviews, Q&A, and other shopping data.
What is Amazon AEO?
Amazon AEO means Answer Engine Optimization. It is the process of optimizing Amazon product content so AI shopping assistants like Alexa for Shopping can understand, summarize, and recommend the product in response to buyer questions.
How can I optimize my listing for AI assistants?
You can optimize your listing for AI assistants by writing natural-language bullets, adding detailed A+ Content, answering common Q&A questions, using review language, completing product attributes, and explaining clear use cases and benefits.
Should I stop using traditional keywords?
No. Traditional keywords still matter for Amazon SEO, indexing, and PPC. The best approach is to keep strong keyword discipline while adding more context, use cases, benefits, and natural-language answers for COSMO and AI shopping assistants.