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Key fact: Picking Amazon keywords is a demand-versus-competition decision, not a guess - the free Amazon Keyword Tool pulls seed suggestions, ASIN reverse lookups and batch keyword comparison across the US, CA, UK, DE, FR and JP marketplaces so you weigh real competition and demand before spending on PPC.
Quick answer — where Amazon keyword search volume data comes from: Amazon never publishes a per-keyword search volume number. The three free sources are Amazon Suggest (live suggestions ordered by real search popularity), Brand Analytics Search Frequency Rank (free but requires Brand Registry), and Google Trends for demand seasonality. This free tool combines Suggest, ASIN reverse lookup and Google Trends across US, CA, UK, DE, FR and JP — no signup and no cost.
How to check Amazon keywords free in 3 steps:
Seed keywords, competition estimates and Google Trends - free, no subscription.
Yes. There is no signup, no email capture and no cost. The tool queries Amazon's own suggestion service, so results are generated live per request rather than drawn from a metered commercial keyword database.
Two or three core keywords in the title, the remainder written naturally into the five bullet points, and the rest in the backend Search Terms field. A practical total is 20 to 30 relevant phrases across the whole listing. Duplication in the backend is ignored, and overflowing the byte limit causes terms to be dropped.
Ranking order, not the number. A phrase with 500 to 2,000 searches a month and weak competition will earn more than a 50,000-search head term you cannot reach page one for. Pick the largest phrase you can plausibly rank for, then move up as your listing builds reviews.
Not a keyword generation tool. Amazon's closest official free data is Brand Analytics Keyword Search Frequency Rank, plus Search Query Performance for your own listings. Both require an active seller account, and Brand Analytics requires Brand Registry.
Four causes cover almost every case: the backend field exceeded its byte limit and part of the list was dropped, the phrase is a misspelling Amazon does not map, the term is already present elsewhere in the listing so the duplicate is treated as noise, or the edit has not been recrawled yet. Re-check after 24 to 72 hours.
No. Brand names and trademarked model numbers are a policy risk rather than a keyword strategy, and Amazon can suppress a listing for it. Reverse-ASIN lookup is best used for the generic attributes and product phrases a winning listing targets, not for its brand terms.
Every quarter as a baseline, plus any time Amazon changes fees, category structure or search behaviour. Between refreshes, watch Search Query Performance: rising impressions with flat clicks means the keyword works and your main image or price needs attention.
Amazon Suggest returns real phrases with their real relative popularity, but it never states a number. Volume estimates are modelled by tools. Use Suggest for discovery, an estimate for sorting, and Brand Analytics or your own Search Query Performance when you need a figure you can defend.
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This free Amazon keyword tool does three jobs in one screen. It expands a seed keyword into the phrases Amazon itself autocompletes, it reverses a competitor ASIN to show which keywords that listing is indexed for, and it lines candidates up side by side by competing-listing count, competition level and 12-month Google Trends direction. It runs against six marketplaces — United States (amazon.com), Canada, United Kingdom, Germany, France and Japan — so you research the market you actually sell in instead of a translated guess. There is no signup and no email gate: the suggestions come from Amazon Suggest, so every phrase you see already exists in Amazon's own autocomplete data rather than in a recycled third-party list.
One rule that saves a lot of wasted effort: never let the same phrase appear twice in the backend. Amazon ignores duplicates, repeats do not add weight, and padding the field until it overflows is the fastest way to have part of your list silently dropped.
Amazon does not publish keyword search volume anywhere, so any volume figure from any tool — including paid ones — is a modelled estimate, not an official figure. This tool does not invent one: the number in the table above is how many listings compete for the phrase, not how often it is searched. There are four free or near-free ways to judge demand, and they are best used together:
Treat all volume figures as a way to sort a list, not as a forecast. The decision that matters is ranking order, not the exact number.
Amazon matches a search query against the fields a listing has been indexed for: title, bullet points, product description, backend search terms, and — to a lesser extent — structured attributes and A+ content. A reverse ASIN lookup runs that process backwards. You hand the tool a competitor's ASIN, it reads the listing's indexed fields, and returns the keywords that listing is positioned for.
This is the single most useful move in Amazon keyword research because it replaces guessing with evidence. A listing sitting at position two for insulated water bottle has already told you, through Amazon's own ranking, that this phrase is winnable in that category. Two caveats: reverse lookup shows what a listing is indexed for, not what actually converts for it, and it does not license you to copy a competitor's brand name or trademarked model numbers into your own listing — that is a policy risk, not a keyword strategy. When you want the same competitive read on a whole category rather than one ASIN, the Amazon ASIN & competition analyzer extends this to side-by-side comparison.
A keyword is “indexed” when Amazon's search engine recognises the phrase on your listing and will consider showing your product for it. A keyword that is not indexed cannot rank no matter how much advertising you put behind it, which is why checking indexing before spending on PPC is the cheapest step in the whole process.
The quickest free check: type the exact keyword into Amazon search, then look for your own ASIN in the results. If your product cannot be found for a phrase that is genuinely on your listing, it is almost always one of four causes — the backend field has overflowed (limit it to 250 bytes per marketplace, and remember that accented characters such as ä and é consume two bytes each in UTF-8), the phrase is a genuine misspelling Amazon does not map, the term already appears in your title or bullets so Amazon treats the duplicate as noise, or the edit simply has not been recrawled yet. Indexing changes usually take effect within 24 to 72 hours, so check again before assuming the edit failed.
Sellers still search for these three legacy tools by name, so it is worth being precise about what each one is today:
The other credible free options are AMZ Suggestion Expander (a browser extension that shows more Amazon Suggest layers than the default dropdown), Keyword Tool Dominator, keywordtool.io, MerchantWords, and the free tiers of Helium 10 (Magnet and Cerebro) and Jungle Scout Keyword Scout. Almost all of them cap free lookups per day; this tool does not, because it queries Amazon Suggest directly rather than a metered commercial database.
Keyword lists do not translate. The German phrasing for a product is frequently not the English phrasing in German words, and running the same seed separately per marketplace is the only reliable method. Two patterns are worth building in from the start:
Korean sellers should note that Amazon operates no amazon.co.kr marketplace. Korea-based sellers use Amazon Global Selling and sell into the US, Japanese or European marketplaces, so Korean-language research such as 아마족 키웨드 검색량 should always be paired with the marketplace you actually list in — usually amazon.com or amazon.co.jp — rather than treated as a keyword source of its own.
Yes. There is no signup, no email capture and no cost. The tool queries Amazon's own suggestion service, so the results are generated live per request rather than drawn from a metered commercial keyword database.
Two or three core keywords in the title, the remainder written naturally into the five bullet points, and the rest in the backend Search Terms field. A practical total is 20 to 30 relevant phrases across the whole listing. Length alone does not help — duplication in the backend is ignored, and overflowing the byte limit causes terms to be dropped.
Ranking order, not the number. A phrase with 500 to 2,000 searches a month and weak competition will earn more than a 50,000-search head term you cannot reach page one for. Pick the largest phrase you can plausibly rank for, then move up as your listing builds reviews.
Not a keyword generation tool, no. Amazon's closest official free data is Brand Analytics Keyword Search Frequency Rank, plus Search Query Performance for your own listings. Both live in Seller Central and both require an active seller account, and Brand Analytics specifically requires Brand Registry.
Four causes cover almost every case: the backend field exceeded its byte limit and part of the list was dropped, the phrase is a misspelling Amazon does not map, the term is already present elsewhere in the listing so the duplicate is treated as noise, or the edit has not been recrawled yet. Re-check after 24 to 72 hours before changing anything else.
No. Brand names and trademarked model numbers are a policy risk rather than a keyword strategy, and Amazon can suppress a listing for it. Reverse-ASIN lookup is best used for the generic attributes and product phrases a winning listing targets, not for its brand terms.
Every quarter as a baseline, plus any time Amazon changes fees, category structure or search behaviour. Between refreshes, watch Search Query Performance: a rising impression count with flat clicks means the keyword is working and your main image or price is what needs attention.
Amazon Suggest returns real phrases with their real relative popularity — the order of the dropdown is a useful proxy — but it never states a number. Volume estimates are modelled by tools. Use Suggest for discovery, an estimate for sorting, and Brand Analytics or your own Search Query Performance when you need a figure you can defend.
❓ Amazon Keyword Research Tool — Frequently Asked Questions → fees, limits, and worked examples
Written and maintained by the ylishi.tools editorial team, which has tracked Amazon, Temu and TikTok Shop seller fees since 2019. Spotted an error or a stale rate? Email support@ylishi.tools — figures on this page are corrected whenever the published fee schedule changes.