Amazon competition checker: how to read the top 20 listings

Competition is not a number

Most tools reduce competition to a single figure — a difficulty score, a competition rating, an opportunity number between one and ten. It is a convenient abstraction and it is where most bad launch decisions begin.

Consider two products. Both return "moderate competition" on any scoring system you like.

• Product A: twenty listings, every one of them a real brand, review counts clustered between 800 and 2,000, professional photography throughout, prices within four dollars of each other.
• Product B: twenty listings, three established brands at the top with 5,000 reviews each, then seventeen generic sellers with 80 to 300 reviews, several with phone-camera images and copy that reads like a translation.

Same score. Product A is a wall — there is no soft position on the page. Product B has fourteen contestable slots and a clear strategy: do not attack the top three, take positions 4 through 12 with a better listing, and let review velocity do the rest.

The score cannot tell you that. Only looking at the listings individually can.

The seven signals that actually predict difficulty

1. Review distribution, not review average

The single most important signal, and the one an average destroys. Plot the twenty counts mentally. A flat distribution means an open market. A steep one means the top is closed but the middle may not be. A uniformly high one means stay out.

2. Brand concentration

Count how many of the twenty sellers are recognisable brands versus generic-sounding names. A page of generics is an opening for anyone willing to build an actual brand — better photography, a real brand story, packaging that does not look like a wholesale listing. A page of brands means you are competing on marketing budget.

3. Listing quality you could beat

Be strict and specific. Are the main images on white background and well lit? Do the bullets answer the obvious buying question? Is there A+ content? Is the title stuffed or written for a human? Count how many listings you could genuinely produce a better version of. Under three and the page is closed to you.

4. Price spread

A tight cluster means the market has converged and you would be competing on price, which is the worst position to enter from. A wide spread means there is positioning room — you can go premium with better presentation, or find an undefended band.

5. Badge placement

Where the Best Seller and Amazon's Choice badges sit tells you a lot. A badge on a genuinely strong listing is a warning. A badge on a listing with a 4.1 rating and mediocre images is an opportunity — that position is being held by momentum rather than quality, and momentum is beatable.

6. Rating quality across the page

If the page's ratings hover around 4.0 to 4.2, customers are unhappy with the whole category. Read the three-star reviews. Whatever they complain about is your product brief, and a listing that fixes it enters with a real advantage.

7. Whether the economics survive

Take the median price of the page — not the top listing's price — and run the FBA fee stack against it. Subtract landed cost and an honest PPC figure. If margin is thin at the median, you are planning to compete below the level the market has already settled on.

Checking competition manually

The whole method, free, in about thirty minutes per product:

1. Open an incognito window and search the product on the marketplace you would sell in. Incognito matters — personalised results are not the results a new customer sees.
2. Ignore every Sponsored placement. Those are bought positions, not the organic field, and including them will make the page look more competitive than it is.
3. Open the top 20 organic listings in tabs.
4. For each, record: review count, rating, seller name, whether it reads as a brand, price, and a one-to-five honest judgement of listing quality.
5. Sort your list by review count and look at the shape of the distribution.
6. Count the listings where your quality judgement is 3 or below. Those are your targets.
7. Take the median price and run Amazon's free FBA revenue calculator on it with realistic dimensions and weight.
8. Read the three-star reviews on the top two listings. Note the recurring complaint.

Automating the check

SellRadar does the sequence above and returns the conclusion. You type a product; it reads the top 20 organic listings on the marketplace you pick and produces:

• A LAUNCH / WATCH / SKIP verdict with the reasoning written out — not a score to interpret.
• The listing weakness map: what is specifically weak about each of the twenty, flagged individually.
• An assessment framed for your selling model across eight variants, because a page of generics reads as opportunity to a private-label seller and as margin pressure to a reseller.
• The fee-stack math against the page's actual price band.
• Coverage of 13 marketplaces, since a category saturated in the US is often open in the EU.

Under a minute, and three verdicts a month free with no card. The reason speed matters is behavioural rather than convenient: at thirty minutes a product you only check the ideas you already believe in, which is exactly the bias that walks people into crowded categories.

Five mistakes that make a page look wrong

1. Counting Sponsored results as competition. They are paid placements. The organic field is what you would compete in, and mixing them inflates the difficulty.
2. Searching in a logged-in browser. Your Amazon results are personalised by your own history. Use incognito.
3. Using the average review count. It hides the distribution, which is the whole story.
4. Checking the wrong marketplace. Competitive density varies enormously between the US, the UK, Germany and Japan. Check where you would actually sell.
5. Judging listing quality generously. "I could probably do better" is not the standard. "I can produce a visibly better listing within my budget" is. Be strict — everyone overrates their own execution before they have done it.

From here the trail forks by what you found. A page with obvious weak spots leads to spotting weak listings you can beat; a page that is strong everywhere is a saturation question; and if you want to go the other way and start from uncontested ground, finding low-competition products works backwards from the same signals. All three sit inside the wider product research method.

Frequently asked questions