Analyze AI - AI Search Analytics Platform
Amazon Keyword Tool

Free Amazon Keyword Tool

Research Amazon product keywords for free. See search volume, difficulty, and CPC to optimize listings and discover high-demand product niches.

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See where you rank, where competitors beat you, and what to do about it — across every AI engine.

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Use Cases

Use cases of Analyze AI's Amazon Keyword Tool

Validate Product Ideas Before Investing in Inventory

Validate Product Ideas Before Investing in Inventory

Launching a product on Amazon without keyword research is like opening a store on a street with no foot traffic. Enter a product keyword like "wireless headphones," select your country, and instantly see how many people are searching for products in that category. The country dropdown lets you compare demand across 10+ markets — so you can validate whether your product has search demand in the US, UK, Germany, or other Amazon marketplaces before committing to inventory purchases, manufacturing runs, or FBA shipments.

Analyze Competitive Density Across Product Keywords

Analyze Competitive Density Across Product Keywords

The results table displays each product keyword alongside its Volume, KD, CPC, and Competition score. Top keywords may show volumes of 450,000 with competition scores of 100 — meaning this is an extremely saturated market. But drilling deeper reveals less competitive sub-niches where new sellers can compete. This table is essential for Amazon FBA sellers and private-label brands identifying product niches with manageable competition.

Quantify Product Category Demand at a Glance

Quantify Product Category Demand at a Glance

The summary dashboard shows Total Keywords (50), Average Volume, and Average Difficulty for your product category. Amazon sellers use this snapshot to compare category sizes — if you're deciding between entering one market versus another, this dashboard gives you the demand comparison in seconds. The average difficulty also tells you whether many long-tail product keywords remain accessible.

Discover Backend Keywords and Long-Tail Product Terms

Discover Backend Keywords and Long-Tail Product Terms

Amazon's A10 algorithm ranks products partly based on keyword relevance in titles, bullet points, descriptions, and backend search terms. This view shows the full list of related product keywords and their volumes — from head terms to long-tail variations. These long-tail variations should be placed in your product listing's backend search terms field, bullet points, and A+ content to maximize your listing's visibility across the widest possible range of shopper queries.

questions & answers

Frequently Asked Questions

Common questions about our Amazon Keyword Tool tool.

Why do Amazon keywords differ from Google keywords?

Amazon and Google serve fundamentally different user intents. Google searchers may be researching, comparing, or just browsing. Amazon searchers are almost always in buying mode — they have purchase intent. This means Amazon keywords are product-focused (brand names, product specifications, use cases) while Google keywords span informational, navigational, and transactional intent.

How does keyword difficulty work for Amazon product listings?

Amazon keyword difficulty estimates how competitive it is to rank your product listing on Amazon's first page for that search term. Factors include the number of established sellers targeting the keyword, their review counts, sales velocity, listing optimization quality, and advertising spend. A KD of 0–10 means a new listing can appear on page one quickly with good optimization. A KD above 40 typically requires competitive pricing, PPC campaigns, strong reviews, and highly optimized listings.

What is a good search volume for an Amazon product keyword?

For private-label sellers, target primary keywords with at least 1,000 monthly searches to ensure sufficient demand. High-volume head terms (100,000+) are extremely competitive and usually dominated by major brands. Mid-tail keywords (1,000–10,000) often offer the best balance of demand and achievability. Long-tail keywords (under 1,000) work well as backend search terms and in PPC campaigns where specific buyer intent leads to higher conversion rates.

How should I use Amazon keyword data to optimize my product listing?

Follow Amazon's keyword placement hierarchy: (1) Put your primary keyword in the product title, (2) Place your top 5 secondary keywords in bullet points, (3) Use remaining keywords in the product description and A+ Content, (4) Load all remaining relevant terms into backend search terms (up to 250 bytes). Never repeat keywords across these fields — Amazon's algorithm counts each keyword once regardless of how many times it appears.

Can I use this tool for Amazon PPC campaign research?

Absolutely. The CPC column shows what advertisers are paying for clicks on Sponsored Product ads for each keyword. Use this data to estimate your advertising budget, identify keywords where organic ranking would save you significant ad spend, and discover low-CPC keywords where you can run profitable PPC campaigns.

How do I find profitable product niches using this tool?

Look for keyword clusters where the average search volume is above 5,000 but the average KD is below 20. Then check the CPC — higher CPC indicates that sellers in this niche are profitable enough to afford advertising. The ideal niche has high search demand, low competition, healthy margins, and page-one products with fewer than 500 reviews (indicating market accessibility for new entrants).

What is the difference between the Competition score and KD for Amazon keywords?

The Competition score reflects paid advertising density — how many sellers are running Sponsored Product ads on that keyword. KD reflects organic ranking difficulty — how hard it is to appear on page one without ads. You can have a keyword with low organic KD but high paid competition, meaning it's easy to rank organically but hard to get ad visibility.

How do I use Amazon keywords for product research before launching?

Use this tool for pre-launch validation: (1) Enter broad product category keywords, (2) Review the volume of related keywords to confirm demand, (3) Check KD to assess competitive feasibility, (4) Look at the breadth of long-tail keywords — a niche with many long-tail variations has room for differentiated products, (5) Cross-reference with your supplier costs to estimate profitability.

Should I target brand-name keywords in my Amazon listing?

Never include competitor brand names in your product title or bullet points — Amazon's terms of service prohibit this and can result in listing suppression. However, brand-related keywords naturally appear in the tool results and are useful for understanding the competitive landscape. Your strategy should be to target the generic equivalents and compete on price, features, and reviews.

Can I use this tool for Amazon markets outside the United States?

Yes. The country selector supports major Amazon marketplaces including the US, UK, Germany, France, Spain, Italy, Brazil, Canada, Australia, India, and Japan. Each market has different keyword volumes, competition levels, and buyer behaviors. A product that is oversaturated in the US market might be underserved in Germany or Japan.

How many keywords should I include in my Amazon backend search terms?

Amazon allows up to 250 bytes of backend search terms (roughly 250 characters for English). Use this space for keywords that don't naturally fit in your title, bullet points, or description. Prioritize unique keywords — don't repeat terms already in your visible listing. Use spaces to separate terms (not commas or semicolons — Amazon treats those as wasted bytes).

How does the Amazon A10 algorithm use keywords to rank product listings?

Amazon's A10 algorithm considers keyword relevance as one of several ranking factors alongside sales velocity, conversion rate, click-through rate, seller authority, and organic sales. Listings with the keyword in the title rank higher than those with it only in backend terms. Beyond matching, the algorithm then ranks by performance metrics — meaning keyword optimization gets you indexed, but conversion rate and sales determine your position.

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Get Ahead Now

Start winning the prompts that drive pipeline

See where you rank, where competitors beat you, and what to do about it — across every AI engine.

Operational in minutesCancel anytime

0 new citations

found this week

#3

on ChatGPT

↑ from #7 last week

+0% visibility

month-over-month

Competitor alert

Hubspot overtook you

Hey Salesforce team,

In the last 7 days, Perplexity is your top AI channel — mentioned in 0% of responses, cited in 0%. Hubspot leads at #1 with 0.2% visibility.

Last 7 daysAll AI ModelsAll Brands
Visibility

% mentioned in AI results

Mar 11Mar 14Mar 17
Sentiment

Avg sentiment (0–100)

Mar 11Mar 14Mar 17
SalesforceHubspotZohoFreshworksZendesk