Free Amazon Keyword Tools: What the Free Tiers Allow

Most roundups of free Amazon keyword tools list five products, write a friendly paragraph about each, and never mention the number that decides everything: how many searches you get before the tool stops. That number is the product. A reverse-ASIN lookup you can run twice is a demo, not a research method.

So this is organised around what you can genuinely finish inside each free tier, with the limits and the paid entry prices checked against the vendors’ own pricing pages in September 2026. It also covers the free keyword source that almost every list skips, which is Amazon’s own search data, available to you at no cost if you are Brand Registered.

TopTut sells none of these tools and takes no position on which vendor deserves your money. The position here is about the caps.

How Amazon search differs from Google search

Amazon search ranks products by relevance to the typed query combined with how well that product converts for that query, which makes keyword research a purchasing-behaviour job rather than a content job. There is no link graph, no domain authority, no topical cluster to build. A product either matches the shopper’s words and then sells against them, or it does not.

Three consequences follow, and they are the reason Google SEO habits misfire here.

• Indexing is binary and checkable. For any phrase, your ASIN is either in Amazon’s index for it or it is not. You can test this in about ten seconds, which is something Google will never let you do cleanly.
• Matching happens across fields, and it is token-based. Amazon assembles the searchable terms for a listing from the title, the bullets, the description and the backend search terms field. Individual words are matched and recombined, so “stainless steel garlic press” and “garlic press stainless” can both hit without either string appearing verbatim.
• Sales history is the ranking fuel. Being indexed for a broad head term gets you nothing if the listings above you have thousands of conversions on that exact query. Relevance gets you into the pool; conversion decides your position in it.

That last point is why the standard SEO instinct, chase the biggest volume you can plausibly target, is actively harmful on Amazon for a new listing. On Google a new page can pick up long-tail traffic while it waits. On Amazon a new ASIN sitting on page nine of a head term accumulates impressions with no clicks, which teaches the algorithm that you are a bad answer for that query. Specificity is not a consolation prize, it is the mechanism.

Every free Amazon keyword tool is a lead magnet with a cap

The free tier of a paid Amazon tool exists to show you a result you cannot act on and then charge you to see the rest of it, which is a legitimate business model and a terrible basis for choosing a tool blind. Vendors set the cap at exactly the point where the output becomes useful: enough rows to prove the data exists, not enough to finish a keyword list.

Two of the caps are published clearly and two are not. Helium 10 does operate a free plan, but its public pricing page details the paid tiers rather than the free plan’s per-tool allowances, which are surfaced inside the app once you sign up. Jungle Scout does not run a free plan at all; its Catalyst plans page lists Starter at 29 dollars a month with 50 Keyword Scout searches monthly, and offers a 7-day money-back guarantee instead of a free tier. Knowing that in advance saves you an afternoon.

The free Amazon keyword tools, and what each free tier actually allows

Five sources are worth a new seller’s time, and only two of them are conventional keyword tools. The table below is organised by the limit rather than the feature list, because the limit is what determines whether you finish the job.

Source	What it does	Free-tier limit	Genuinely good for	Where it stops
Amazon search autocomplete	Returns real prefix completions drawn from what shoppers type into Amazon	No account, no published cap	Seed terms, shopper phrasing, modifiers you would never guess	No volume, no ranking data, no competitor view; suggestions are personalised, so use a logged-out window
Keyword Tool Dominator	Runs autocomplete across many prefix permutations and returns the harvested list	2 searches per day per keyword source, per its pricing page	Turning one seed into a few dozen real phrases without paying	The daily cap; no reverse-ASIN, no volume figures
Helium 10 free plan	Limited access to Cerebro (reverse ASIN), Magnet and the Xray extension	Free plan exists; per-tool allowances are shown in-app, not on the pricing page	Seeing what a reverse-ASIN report looks like on one or two competitors	Allowances are consumed within a single working session
Jungle Scout	Keyword Scout, product database, rank tracking	No free plan; 7-day money-back guarantee only	Nothing, unless you intend to pay	Entry is 29 dollars a month for 50 Keyword Scout searches
Google Keyword Planner	Google search volume and related terms	Free with a Google Ads account; volumes show as broad ranges unless you are running active campaigns	Seasonality shape and demand direction for a product category	Google intent is not Amazon intent; research and how-to queries pollute the list
Sonar (Sellics)	Formerly a free Amazon keyword database	Effectively unavailable: Sellics was folded into Perpetua and the sonar-tool.com domain no longer resolves	Nothing today	Ignore any 2026 listicle that still recommends it

Keyword Tool Dominator is the one to start with, because its cap is honest and its pricing page is one of the few that states the free allowance plainly: two searches a day per keyword source. Paid access is sold as one-off blocks rather than a subscription, from 9 dollars for 30 days on the Plus tier up to 25 dollars for Max, with annual access from 39 dollars. For a seller launching two products a year, that pricing model fits the work better than a monthly seat does.

The free keyword source everyone forgets: Brand Analytics

If you are enrolled in Amazon Brand Registry, Amazon gives you its own search data for free, and no third-party tool can match it because everything a third-party tool reports is an estimate reverse-engineered from public signals. Amazon Brand Analytics is included with Brand Registry at no extra charge and sits in Seller Central under the Brands menu.

Three parts of it matter for keyword work.

Search Query Performance

The Search Query Performance dashboard shows the actual queries that led shoppers to your brand, with impressions, clicks, cart adds and purchases attached, and it splits your share out from the total for each query. Amazon’s own seller guidance describes it as showing the top queries leading customers to your brand together with those metrics.

That last part is the valuable bit. A query where you take a large share of impressions but a small share of purchases is not a keyword problem, it is a price, image or review problem. A query with a lot of total impressions where your share is near zero is a genuine keyword opportunity. No estimated-volume tool can tell you the difference.

Top Search Terms

Top Search Terms ranks the most-searched queries on the marketplace for a period and names the three ASINs that took the largest share of clicks for each. You get the search frequency rank rather than an absolute volume figure, which is more honest than most third-party numbers and just as usable: rank 4,000 is meaningfully bigger demand than rank 90,000, and that is all a prioritisation decision needs.

The Search Terms report from advertising

If you have run even a small auto-targeted Sponsored Products campaign, the Search Terms report lists the literal customer queries that triggered your ads and what each did. Twenty dollars a day on an auto campaign for a fortnight buys a keyword list built from real purchase behaviour on your own product, which is a better return on that money than most seed-list tools deliver. Terms that converted go into the listing; terms that spent without converting become negatives.

The catch is obvious: all three require you to be selling already, and two require Brand Registry. They are useless for a product you have not launched. That is what the free third-party tools are for, and it is also why the honest sequence is validate the product first, then research keywords, then optimise. If you are still at the first stage, the product research side of the job is a different toolset with different limits.

A keyword workflow that fits inside the free tiers

You can build a usable keyword list for one product in an afternoon without paying anything, provided you spend the capped lookups in the right order. Spending them first is the mistake; every lookup you burn on a bad seed is a lookup you do not have for a good one.

1. Write seeds from the product, not from a tool. List what the thing is, what it is made of, what it fits, who buys it and the problem it solves. Six to ten short phrases. A garlic press yields: garlic press, garlic crusher, stainless garlic press, dishwasher safe garlic press, garlic mincer tool.
2. Expand with autocomplete, manually and free. Type each seed into Amazon signed out and record every suggestion. Then type the seed followed by each letter a to z. This is slow and it is also the highest-signal free input you will get, because every suggestion is a phrase real people have typed.
3. Spend one capped tool run on your best two seeds. Keyword Tool Dominator’s two daily searches are best used on the seed with the widest modifier space, not on your most obvious term. You already know people search “garlic press”.
4. Reverse-ASIN one competitor, chosen carefully. Pick a listing that is selling well but is not a household brand, and is closest to your exact configuration. Inside a tight free limit you get one shot, so a badly chosen competitor wastes it. Take the terms it ranks for that you had not thought of.
5. Deduplicate at the word level, not the phrase level. Because Amazon recombines tokens, “garlic press stainless steel” and “stainless steel garlic press” are one entry, not two. Strip your list to unique words and short unique phrases. A list of 400 phrases usually collapses to 60 or 70 distinct tokens.
6. Prioritise by relevance, then by how winnable the term is. Sort into three buckets: terms that describe your product precisely, terms that describe a near neighbour, and head terms. New listings work the first bucket, add the second once reviews arrive, and only target the third when the sales history supports it.

Notice that no step in this sequence needs a search-volume number. Volume estimates from third-party tools are modelled, they disagree with each other, and for a first listing they change nothing about which terms you should target. Treat them the way you would treat any third-party traffic estimate: useful for relative comparison, wrong as an absolute.

Getting the keywords into the listing correctly

Keywords go in once, in the highest-value field they fit naturally, and repeating them elsewhere adds nothing. Amazon’s own guidance on product listing optimisation puts it directly: if you use a key phrase once, you probably do not need to use it again, and you should spend the space on variations instead.

That single rule invalidates a large share of the advice circulating about Amazon listings. Stuffing “garlic press” four times into a title does not multiply your relevance for it. It costs you the four slots you could have used for four other indexed words, and it makes the title worse for the human deciding whether to click.

• Title. Your highest-value terms and nothing else. Amazon’s guidance recommends keeping titles to around 60 characters for readability even where a longer limit is allowed, because the title is the click decision.
• Bullets. The terms that need context to make sense, written as benefits. This is where the modifier phrases from autocomplete belong.
• Description or A+ content. Longer-tail phrasing and use cases, written for a person.
• Backend search terms. Amazon describes this field as spillover for keywords that did not fit naturally elsewhere. It has a hard byte limit stated in the field’s help text; anything past that limit is ignored silently, with no error, which is why so many sellers believe they have entered keywords they have not.

Inside the backend field: no commas needed, single spaces between words, no repetition of anything already in the title or bullets, no competitor brand names, no ASINs, no subjective claims like “best” or “cheapest”, and no misspellings. Amazon handles common misspellings and plurals itself, so spending bytes on them wastes the field.

How to check whether your ASIN is indexed for a phrase

Search Amazon for the phrase and your ASIN together, and if the listing comes back you are indexed for that phrase, while an empty result set means you are not. This is the single most useful free check in Amazon listing work and it is missing from almost every keyword article, probably because it takes one line to explain and sells nothing.

# In the Amazon search bar, on the marketplace you sell in:
stainless steel garlic press B0XXXXXXXXX

# Same thing as a URL, which is easier to script or bookmark:
https://www.amazon.com/s?k=stainless+steel+garlic+press+B0XXXXXXXXX

# Result interpretation:
#   Your listing appears  -> indexed for every word in that phrase
#   "No results"          -> not indexed for at least one word in it
#
# Narrow it down by dropping one word at a time until the listing
# reappears. The word you removed last is the one you are missing.

A negative result tells you that at least one word in the phrase is absent from your listing’s indexed terms, not that the whole phrase is missing. The word-by-word narrowing in the snippet above finds the culprit in a couple of minutes, and it is usually a term you thought you had put in the backend field but which fell past the byte limit.

After you edit a listing, do not re-check immediately. Give the change a day or two to propagate through Amazon’s index before you conclude the edit failed. Re-checking five minutes later and finding nothing is the most common false alarm in this whole process.

One caveat: indexation is not ranking. Being indexed for a phrase means you are eligible to appear for it. Where you appear is decided by the conversion history discussed earlier, which you track in your seller analytics stack rather than in a keyword tool.

When free stops being enough

Free tiers cover discovery for a single product and stop at anything that requires repetition, breadth or history. The table below maps the actual jobs against what you are buying if you upgrade, which is almost always volume of lookups rather than a capability you did not have.

The job	Free tier covers it?	What you are actually buying
Build a seed list for one product	Yes, comfortably	Nothing. Do not pay for this.
Expand seeds into a few hundred phrases	Yes, over two or three days of daily caps	Speed. You are buying back an afternoon.
Reverse-ASIN a single close competitor	Just about, once	Nothing yet.
Reverse-ASIN ten competitors and find the gap	No	Bulk lookups and a comparison view. This is the first genuine reason to pay.
Track keyword rank over weeks	No	Historical storage. No free tool retains a time series for you.
Monitor indexation across a catalogue	No, beyond a handful of ASINs	Automation of the manual check above.
Research a second marketplace	Partly, via that marketplace’s autocomplete	Localised databases rather than translated guesses.
Understand which query is failing to convert	Free if Brand Registered	Nothing. Brand Analytics beats every paid alternative here.

Read that last row twice. The one job where paid tools are genuinely weakest is the one they market hardest, because a modelled estimate of what shoppers search cannot compete with Amazon telling you what shoppers actually searched and then did.

Mistakes that waste a good keyword list

Five errors account for most of the wasted effort, and four of them come from importing Google SEO habits into a marketplace that does not work that way.

• Targeting head terms with a listing that has no sales history. You will be indexed and invisible, accumulating impressions without clicks. The click-through signal you generate teaches Amazon you are a poor match, which makes the term harder to win later, not easier.
• Stuffing the title. Repetition does not compound relevance, and Amazon’s guidance says so directly. It costs you distinct indexed words and it costs you clicks from humans who find the title unreadable.
• Leaving the backend field empty or overfilling it. Empty wastes free indexing; overfilled silently truncates. Both fail the same indexation check, and neither produces an error message to warn you.
• Translating keywords literally for other marketplaces. German shoppers do not search the machine translation of your English term, they search the compound noun they actually use, and a translated list will be indexed for phrases nobody types. Redo autocomplete on the local marketplace domain instead.
• Treating estimated volume as fact. Third-party volume figures are models built on public signals, and two tools will hand you different numbers for the same term. Use them to rank terms against each other, never to forecast units.

There is a sixth that is really a sequencing error: optimising a listing before the fulfilment and cost side is settled. If your margin cannot survive the fees, ranking for the perfect keyword just sells you loss-making units faster, which is a case for sorting the fee and fulfilment maths before you touch the copy.

Verdict: what to use at each seller stage

Pre-launch with no listings, use Amazon autocomplete and Keyword Tool Dominator’s free tier, and pay nothing. Two searches a day sounds restrictive until you realise that a first keyword list needs about four good expansions total, which is two days of waiting. If you will not wait, Keyword Tool Dominator’s 9 dollar 30-day block is the cheapest way to finish the job and it expires rather than renewing.

One to five listings and selling, enrol in Brand Registry as soon as you have a registered trademark, and run a small auto-targeted Sponsored Products campaign to generate a Search Terms report. Real query data on your own products makes the third-party estimates redundant for everything except finding competitors’ terms.

A growing catalogue with real revenue is the point at which a paid subscription earns its cost, because bulk reverse-ASIN across ten competitors and stored rank history are the two things no free tier provides. Between Helium 10’s Platinum tier at 99 dollars a month billed yearly and Jungle Scout’s Starter at 29 dollars for 50 Keyword Scout searches monthly, start at the cheaper end and let a specific blocked task justify the upgrade rather than the feature list.

The one recommendation to avoid: do not build a workflow around a free tool whose vendor has been acquired. Sonar was the standard free recommendation for years and it is gone, while lists published this year still name it. Check that a tool loads before you plan around it, and treat any roundup that has not as unreliable on its other details too. The same discipline applies to the rest of your stack, which is worth a periodic audit alongside your other content and marketing tools.

Frequently asked questions

It’s hard to find the best free Amazon keyword tool but I hope we answered your queries in this post, here are some more questions you may have had answered.