Amazon SEO Optimization: What Actually Moves Ranking

What Amazon has actually said, versus what sellers call it

Amazon's search system evaluates listings on relevance to the search term and predicted performance — including signals like click-through and conversion history — which Amazon has stated in general terms without publishing the underlying weighting. “A9” is the name commonly used for Amazon's search algorithm; “A10” is a term the seller community coined to describe a perceived shift toward weighting conversion, off-Amazon traffic and seller history more heavily, but Amazon has not officially confirmed “A10” as a distinct, named algorithm. Treat A10 as informed seller terminology, not an Amazon-published fact — a distinction most SEO content skips.

This distinction matters practically, not just for accuracy's sake. Content built around a precisely-named, versioned algorithm implies a level of certainty about the exact mechanism that does not actually exist — and a seller acting on a confidently-stated but unverified rule (“A10 weights external traffic at X%”) is optimizing against a guess dressed up as documentation. The relevance-and-performance framing Amazon has actually stated is vaguer, but it is the part that is true.

The two categories that actually matter

Indexing is whether Amazon's system can find your listing for a given search term at all — driven by the title, bullets, backend search terms and category attributes actually containing the words shoppers search, in the language they use rather than internal product jargon. Performance is what happens once a listing is found — click-through rate against the search result, and conversion once a shopper is on the page. A listing can be perfectly indexed for its target terms and still rank poorly if performance is weak, and a listing with strong performance signals but poor indexing never gets the chance to show that performance to Amazon's system in the first place. Real optimization work touches both, not just one.

What genuinely helps indexing

Backend search terms filled with real synonyms, alternate spellings and related terms a shopper might actually type — not keyword-stuffed repetition of the same word, which wastes character space without adding coverage. A title and bullets written in the language shoppers actually use for the product, informed by real search term data rather than internal product naming. Complete, accurate category attributes, since a missing or wrong attribute can affect whether Amazon surfaces the listing for filtered searches at all — this is also the compliance layer covered on our listing-audit page, and it matters for indexing independent of any conversion work.

Duplicating a keyword across the title, bullets and backend terms does not add extra credit for that term the way stuffing implies — once a term is indexed, repeating it elsewhere is space that could have covered a different real search term instead. The actual gain from backend terms comes from breadth of genuine coverage, not repetition of what the visible copy already covers.

What genuinely helps performance

Median unit-session conversion across the 1,693 ASINs we track sits at 7.2%, and that is the number Amazon's system is actually reading as a performance signal on every listing — which means the same main image, title and price work covered on our conversion pages is not separate from SEO, it is a direct input into it. A listing that converts well on the traffic it already earns tends to hold and improve its organic position over time; a listing with strong indexing and weak conversion tends to plateau or slide, because Amazon's system reads the weak conversion as a signal the listing is a worse answer to that search term than its position suggests.

A worked example: relevancy without performance, and the reverse

Picture a listing that adds a high-volume keyword to its title and backend terms and becomes newly eligible to show for that search — but keeps a weak main image and thin bullets. Impressions on the term rise with no matching rise in orders: the relevancy work opened the door, and nothing behind it earned the click or the sale. The reverse happens just as often: a listing with genuinely strong images and bullets whose backend terms were never filled in for a real, high-volume synonym of its category simply never shows for that search at all, no matter how well it would have converted.

Both cases look like “SEO isn’t working” from the outside. They are two different, specific gaps, and telling them apart decides the fix. Pull the impressions and click-through rate for the exact term from Amazon’s own search term reporting where available: healthy impressions with a weak click-through rate points at the creative — main image and visible title — while near-zero impressions on a term you believe you cover points at indexing, and the keyword audit comes first.

What to do when a listing is not ranking, before assuming the algorithm is the problem

Check indexing first — search the exact term you expect to rank for and confirm the listing appears at all, even on a later page, since a listing that is genuinely unindexed for a term will never appear regardless of performance. If it is indexed but ranking low, check conversion against comparable listings before concluding the algorithm is being unfair — a listing converting well below its category's typical range is very often the real explanation, mistaken for an algorithm problem because the algorithm is invisible and the listing's own weakness is not being checked first.

Also rule out the boring, mechanical explanations before the strategic ones: a suppressed or attribute-broken status, checked the way our listing-audit page describes, can look identical to a ranking problem from the outside while having nothing to do with keywords or conversion at all.

Where creative work fits into an SEO strategy

Since performance is a stated input into ranking, the image, title and price work that improves conversion is not a separate project from SEO — it is one of the two levers SEO actually runs on, alongside indexing. Dr. CRO's listing work is built with this connection in mind, from Full Circle, a full-service Amazon management company with $500M+ in managed revenue across 100+ brands, on the reasoning that a keyword-perfect listing with poor conversion is optimizing only half of what Amazon's own system reads.