Best Amazon keyword research tools compared, including the free ones, and where each number comes from

Start with the fact that decides this whole category: Amazon does not publish search volume. There is no Keyword Planner for Amazon. Every search volume number in every Amazon keyword tool is a vendor's estimate, built from sampled rank movement, advertising data and modelling.

The criterion on this page: what does the vendor publish about how its Amazon number was produced, and what is the free way to get the same answer? One vendor answers the first question in its own words, which is why it comes out well.

The free sources, which most sellers underuse

Amazon's own search term report. If you run Sponsored Products, your advertising reports show the actual customer search terms that triggered your ads, with impressions, clicks and spend. That is observed data about real Amazon shoppers and it is already inside your account. It is the single best Amazon keyword source there is, and it is free to anybody already advertising.

The search bar itself. Amazon's autocomplete is a live demand signal ordered by Amazon. Type the head of your category, work through the alphabet, and record what comes back. Crude, free and genuinely useful for the long tail.

Your own listing's performance. Brand Analytics, for sellers with a registered brand, reports search frequency rank for terms in your category. A rank rather than a volume, which is a narrower claim and therefore a safer one.

So the free tier in this category is not a vendor's trial. It is your own advertising report, and a seller who has not read it is paying for an estimate of data they already own.

The paid tools, and what each one publishes

Helium 10 names its keyword tools individually on helium10.com/pricing, read 21 October 2026: Cerebro to "Discover Competitor Keywords", Magnet to "Find Keywords for Your Listings", and a Keyword Tracker to "Track Keyword Ranking Over Time". Its Platinum tier is published at "$129" a month, or "$99 / month" billed yearly with a note that it "Saves $360", and the tiers are banded by seller revenue, with Platinum sitting against "$0 to $100K in yearly sales".

Jungle Scout is the one that says the quiet part out loud, and it earns credit for it. Its own pricing FAQ at junglescout.com/pricing, read the same day, says of its data: "We cut through the noise to the valuable insights and fine-tune the process with our advanced machine learning techniques." That is a vendor stating plainly that the numbers are modelled. The same page says "Join over 1 million sellers and brands", offers "Save up to $360 on annual plans", and answers the free trial question with "While we do not offer a free trial, we do offer a 7-day money back guarantee on our standard plans". Keyword Scout is its keyword product and the reverse ASIN workflow is the part most sellers buy it for.

DataForSEO is the option for anybody who would rather hold the data than rent a dashboard. dataforseo.com/pricing, read 21 October 2026, names Amazon explicitly inside two products: a Labs API covering "Google, Amazon, App Store" at "$0.012 / task + $0.00012 / item", and a Merchant API for "Google Shopping, Amazon" with pricing that "varies by endpoint", on a "$50 minimum top-up" pay as you go account.

The general SEO suites are the wrong purchase here and it is worth saying. Moz's "1.25 billion+ keyword index" on moz.com/products and Ahrefs' keyword database are built from web search, not from Amazon's internal search, and an Amazon listing ranks under different rules.

The ranking, on the stated criterion

On publishing how the Amazon number was produced, the order on 21 October 2026 ran: your own Sponsored Products search term report first, free, and it is the only observed data in this list. DataForSEO second, because it publishes the endpoint and the per task rate, so the provenance is the API you called. Jungle Scout third, and it is third rather than lower precisely because it names "advanced machine learning techniques" in its own FAQ instead of implying the figure was counted. Helium 10 fourth: the tool names and the tier bands are clear and the method is not described in the rendered text we read. The general SEO suites last, for the structural reason above.

The criterion worth applying to every vendor here is simple, and none of them hides the answer: was the number observed, or was it modelled? Ahrefs says it outright on ahrefs.com/brand-radar, read 21 October 2026: "Every prompt is modeled from real user searches in Ahrefs keyword database", and the method it describes is to take "real queries from its keyword database", expand them "into natural questions via People Also Ask and semantic fanout", then run the resulting "493 million+ prompts" through each AI platform. That is a very large modelled set, and Ahrefs is open about it being modelled. Google calls its own figure an estimate: Google Ads help, read the same day, describes Keyword Planner as a way to "View estimates on the number of searches a keyword gets each month". Neither of those is a flaw. Both are honest about what the number is, and the buyer who treats a modelled figure as a measured one is the one making the mistake.

How to use an estimate properly

Use the vendor figure as an ordering, never as a forecast. If tool A says 40,000 and tool B says 9,000 for the same term, the useful information is that both put it near the top of your list. Then validate with the only measurement you own: run a small Sponsored Products campaign on the top twenty terms for two weeks and read the search term report. That converts estimates into observations for about the price of one month of either subscription.

The Amazon shopper who never opens Amazon

What we are not, said before anything else, because the buyer who gets this wrong wastes a month. AI Knows Us does not sell a keyword tool, a rank tracker or a SERP API. We will not show you search volume, keyword difficulty, or your position in a list of links, and if that is what you came for then every tool named on this page does it better than we ever will.

There is a demand in this category that neither your search term report nor any of these tools can see, because it happens before Amazon. A shopper asks an assistant which product to buy, in a sentence, and reads an answer naming three brands. That conversation leaves no trace in Amazon's search logs and no trace in a keyword tool.

This is checkable, and we measured it the expensive way rather than asserting it. In October 2026 we put 109 recommendation shaped questions, the kind a buyer actually types into an assistant, to Google Keyword Planner for United States volume. Seventy six of the 109 came back NOT ANSWERED, which means Google holds no volume data for them at all, and the whole bank of 109 totalled roughly 1,200 searches a month between them. Nobody types "what is the best AI visibility tool for a SaaS company" into a search box. They say it in a sentence to an assistant, and a keyword database built out of search boxes has never seen it.

What we do sell is the reading of a demand no keyword tool has ever seen. When a buyer asks ChatGPT, Gemini, Perplexity, Claude or Google AI Overviews who to buy from, in a sentence that never names you, we record whether your name comes out, who was named instead, and which page the engine cited. Then we run the content and placement work that changes it. A credit is one buyer question put to one app once. A Claude check costs three credits, because the Anthropic API with live web search is the expensive one. Most checks cost one.

Our own ladder is published twice and both copies are rendered on the server, so a crawler reads them without running any JavaScript. aiknowsus.com/llms.txt is plain text, and aiknowsus.com/pricing carries a table headed India (INR), United States (USD), United Kingdom (GBP), Europe (EUR), Australia (AUD) and Canada (CAD), with the sentence "India is charged in rupees; every other region is charged in US dollars and shown in its own currency". Read on 21 October 2026, the United States column starts at $149 for SEO Start, and the plain text file publishes what that $149 allows: 0 buyer questions watched, 0 credits a month and 0 engines. It is a demand harvest tier, and SEO Scale at $699 carries the same three zeros. The cheapest plan that reads all five answer surfaces is Growth at $299, with 100 buyer questions watched and 1,200 scheduled answers a month. Above it, Scale is $599 with 300 questions and 3,500 scheduled answers, Inbound $1,099 with 200 questions, Outbound $1,299 with 30 questions and four engines rather than five, Agency $1,299 with 80 questions and 12,300 credits, and Everything $1,799 with 300 questions and 3,600 scheduled answers. A top up of 1,000 credits is $49. Managed GEO is published in rupees only, at Rs 88,499 to Rs 2,35,999 a month with a three month minimum, so we quote it in rupees rather than converting it ourselves.

Two rules sit behind every number we publish and both are on our methodology page. The buyer question never names the business being measured, because a question carrying the brand name produces an answer carrying the brand name. And every rate is reported with a 95 percent Wilson interval, so a move from 11 percent to 14 percent on 40 readings is reported as noise rather than as progress.

Where a rival is ahead of us, here it is plainly. Ahrefs Brand Radar, read at ahrefs.com/brand-radar on 21 October 2026, names seven surfaces against our five: AI Overviews, AI Mode, Gemini, Copilot, Perplexity, ChatGPT and Claude. It also publishes its own unit economics in plain language, "Claude consumes 8 checks per update" and an overage of "$0.020/check", which is more disclosure than we publish. SE Ranking, read at seranking.com/pricing.html the same day, publishes seats and projects beside the keyword and prompt limits, which we do not: its $129 tier states "10 projects and 1 manager seat, 2k keywords and 100 prompts to track daily". Nightwatch, read at nightwatch.io/pricing the same day, publishes "SOC 2 compliant, encrypted at rest and in transit. SSO on Enterprise" and white label client reports. Our own rendered pricing text carries no single sign on, no SOC 2 report, no white label and no data processing agreement. Moz sells an AI search and visibility product from a lower entry point than our floor, "Starts at $45/month" on moz.com/products, read the same day, where the ladder runs All-in-one SEO at "Starts at $99 / month", AI search and visibility at "Starts at $45/month" and Local SEO at "Starts at $16 / month".

Ranking ourselves on this page's criterion, which is naming where the number came from, we put ourselves first on one narrow thing: every figure we report is tied to a recorded answer, with the question, the engine, the date and the brand that was named instead of yours, and the question never contains your brand name. We do not estimate Amazon search volume and never will. For that job, buy one of the two Amazon specialists above and read your own advertising report first.

For the listing optimisation half of this rather than the research half, we keep a separate page on the Amazon SEO tools compared, and why Amazon's own report is the first one to read. No other page on this site links to that one, measured across the 2,097 of 2,141 live pages whose stored text we can read, on 21 October 2026.

What sellers ask about Amazon keyword tools

Which tool has the most accurate volume? Nobody can answer that, because Amazon publishes no figure to check any of them against. Judge them on the workflow and on how clearly they describe the method.

Is a free Amazon keyword tool worth using? The free browser tools are useful for autocomplete harvesting. For volume, your own search term report is both free and better.

Do I need both Helium 10 and Jungle Scout? No. They overlap heavily. Pick the workflow you prefer and spend the second subscription on advertising data instead.