sellershortsIs There an A10 Algorithm? The Truth for 2026
Amazon has never announced an algorithm called A10, and its own seller guidance does not use A9 either. Here is what is actually documented, and which popular claims have no source.
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Quick Answer
There is no A10 algorithm. Amazon has never announced an algorithm by that name, and it is seller community shorthand rather than an Amazon product. The older name, A9, traces back to A9.com, a former Amazon subsidiary that worked on search. Amazon's own current seller SEO guidance uses neither A9 nor A10. It talks about relevance, sales performance, competitive pricing, listing quality, and account health. Optimize for those documented mechanics and ignore the nicknames entirely.
- Amazon has never announced an algorithm called A10
- A9 comes from A9.com, a former Amazon subsidiary
- Amazon's current seller SEO guidance uses neither name
- External traffic boosts, exact factor percentages, and a guaranteed honeymoon all lack an Amazon source
Search for Amazon ranking advice and you will hit the A10 algorithm within about thirty seconds. It is described as an update, with a list of things it supposedly changed, often laid out as if Amazon had released notes.
Amazon released nothing of the sort. This piece separates what is documented from what the community invented, and lays out what is left to work on once the nicknames go.
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The short answer
Amazon has never announced, documented, or named an algorithm called A10. It is a label the seller community created and repeated until it sounded official.
This matters for a practical reason. If the name is invented, then every rule attached to that name is also invented, including the ranking factor lists and the weight breakdowns that usually come with it.
Where A9 came from
A9 is at least based on something real. A9.com was a former Amazon subsidiary that worked on search technology. Sellers borrowed the company name and used it as a convenient label for Amazon's product search ranking.
Two things follow from that.
- It was a company, not a published algorithm name. Amazon never marketed A9 to sellers as the name of their ranking system.
- The label outlived the setup. Sellers kept using the name long after it stopped describing anything current.
Where A10 came from
A10 came from the seller community deciding that if the old system was A9, the new behavior they were noticing must be A10. That is the entire origin. There was no announcement to increment.
The observations behind it were often genuine. Results moved, some tactics stopped working, others started. But an observation is not an explanation, and naming a change does not document it.
- Real thing: search results change over time.
- Invented thing: a named version number with a published feature list.
What Amazon actually says
Amazon's own seller SEO guidance describes the factors that influence where you land, without using A9 or A10 anywhere.
- Relevance. How well your listing matches what the shopper typed.
- Sales performance. Whether shoppers actually buy after seeing you.
- Competitive pricing. Whether your price is sensible against the alternatives.
- Listing quality. Complete fields, clear copy, good images.
- Account health. Amazon's guidance notes this can contribute too.
Amazon's published research adds structure to that picture: search runs as matching then ranking, matching and ranking lean on attribute matching, and new products with no history get their behavior signals predicted from attributes.
Myths versus documented mechanics
| Claim | Status | What is true instead |
|---|---|---|
| Amazon runs an A10 algorithm | No Amazon source | Amazon names factors, not algorithm versions |
| Amazon calls its system A9 | Not in current guidance | A9.com was a former subsidiary |
| External traffic directly boosts organic rank | Unproven, never stated by Amazon | It can help indirectly through sales it drives |
| Relevance is worth X percent of ranking | Never published | Amazon lists factors with no weights |
| New listings get a guaranteed 30 day boost | No Amazon source | Cold start predicts signals from attributes |
The external traffic claim
The claim is that sending outside traffic to your listing directly lifts your organic rank. Amazon has never stated this, and it is unproven as a direct mechanism.
There is a real indirect route, and it is worth understanding because it changes how you should spend.
- Outside traffic can produce sales. That part is obvious and uncontroversial.
- Sales performance is a factor Amazon names. So the sales you generate are doing work regardless.
- Traffic without sales is just traffic. If the outside audience does not buy, you have added clicks without conversions, which is not a win.
So the sensible rule is to send external traffic when it converts profitably, and not because you believe it flips a hidden switch.
The ranking factor percentage claim
You will see charts assigning exact percentages to ranking factors. Amazon has never published weights for any factor, in any document, in any year.
Those numbers come from one of three places, none of which is Amazon.
- A tool vendor's own model. Fine as an internal estimate, not documentation.
- Aggregated seller experience. Useful directionally, not precise.
- Repetition. One blog invented a number and everyone copied it.
A specific decimal in an Amazon ranking chart is a signal to be more skepticalb, not less.
The honeymoon boost claim
The honeymoon claim says new listings get a fixed window of free visibility, usually 30 days. There is no Amazon source for it.
What Amazon did publish is research on cold start, presented at WWW 2020. New products have no click or purchase history, so Amazon predicts starting values for those signals using attributes such as brand, product type, and color. Amazon reported an online test on 140 million queries where this increased impressions and engagement for new products.
That is a head start built from your data, not a timed gift. The practical difference is large: it means you prepare your attributes rather than race a clock.
What to work on instead
Dropping the nicknames does not leave you with nothing to do. It leaves you with a clearer list.
- Get matched at all. Correct product type, complete attributes, target phrases present once each.
- Fill the attribute fields. Amazon research points at attribute matching, and most listings are incomplete here.
- Make the main image earn the click. No ranking factor helps if nobody clicks you.
- Price against the visible alternatives. Amazon names competitive pricing directly.
- Build reviews legitimately. Reviews lift conversion, and conversion is what gets read.
- Stay in stock. Going out of stock interrupts the sales signal you built.
- Keep account health clean. Amazon's guidance notes it can contribute.
How to spot an Amazon myth in ten seconds
- Ask where the source is. Seller Central, sell.amazon.com, or Amazon Science count. Another blog does not.
- Be wary of version numbers. Amazon does not publish version names for search to sellers.
- Be wary of exact percentages. Weights have never been published.
- Be wary of fixed day counts. Amazon rarely publishes timing for ranking behavior.
- Watch for the word secret. Real mechanics are usually documented and boring.
Conclusion
A10 is not an Amazon algorithm, A9 was a subsidiary rather than a published system name, and Amazon's current seller guidance uses neither term. The claims usually bolted onto those names, direct external traffic boosts, exact factor percentages, and a guaranteed honeymoon window, all lack an Amazon source.
What is documented is plenty: relevance, sales performance, price, listing quality, account health, and a search process that matches before it ranks. Work on those. For the listing side, our Amazon Listing Optimizer builds every field in one run. Next reads: the truth about the honeymoon period, how Amazon search works, and why attributes matter more than keywords.
References
Frequently asked questions
Is there an A10 algorithm on Amazon?
No. Amazon has never announced an algorithm called A10. It is shorthand invented and spread by the seller community, usually to describe the idea that Amazon started weighting organic sales and outside traffic more heavily. There is no Amazon announcement, help page, or research paper that uses the name.
Where did the name A9 come from?
A9 traces back to A9.com, a former Amazon subsidiary that worked on search technology. Sellers picked up the name and used it as a label for Amazon's product search ranking. It is a real company name, but it was never a public product name for a seller facing ranking algorithm.
Does Amazon use the term A9 in its seller guidance?
No. Amazon's current seller SEO guidance uses neither A9 nor A10. It talks about relevance, sales performance, competitive pricing, listing quality, and account health without naming any algorithm. If Amazon itself does not use the names, they are not a useful basis for your strategy.
Does external traffic boost my Amazon organic rank?
It is unproven as a direct boost, and Amazon has never stated it. What is not in dispute is the indirect route: outside traffic can produce sales, and sales performance is a factor Amazon does name. So send external traffic if it converts profitably, not because you were told it flips a hidden ranking switch.
Why do people quote exact ranking factor percentages?
Because a specific number sounds authoritative. Amazon has never published weights for any ranking factor. Any article telling you a factor is worth a precise share of the ranking is presenting somebody's estimate as if it were documentation. Treat percentage breakdowns as opinion.
If A10 is not real, why do sellers see changes?
Because search systems genuinely change, and results move. Sellers notice a shift, need a name for it, and A10 became the label. The observation can be real while the explanation is invented. The change is better explained by ordinary things like competition, seasonality, price, stock, and updates Amazon does not narrate.
What should I actually optimize for then?
The documented mechanics. Amazon's seller guidance names relevance, sales performance, competitive pricing, listing quality, and account health. Amazon's own research describes matching then ranking, attribute matching, and cold start handling for new products. That is a full workload without needing a nickname.
How do I tell a real Amazon fact from a myth?
Ask for the source and check whether it is Amazon. A Seller Central help page, sell.amazon.com guidance, or an Amazon Science paper counts. A blog citing another blog does not. If nobody can produce an Amazon link, treat the claim as a community theory and act accordingly.
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