Blog ยท Keywords

Amazon keyword research: finding the words people actually buy with.

Search-volume lists tell you what people type. They don't tell you which words your category uses to phrase its buying arguments โ€” and that is where most listings on amazon.de fall short.

Illustration: magnifying glass over a bar chart with keyword gaps highlighted in red

5 August 2026 ยท 9 min read ยท Keywords ยท Scoutvo

In short: A useful Amazon keyword research answers three questions: which terms does the category use, which of them are missing from my listing, and which are table stakes rather than an advantage? Search volume alone answers none of them. We weight competitor listings instead โ€” 1,692 unique words across 54 listings in our example.

Most keyword research for amazon.de starts at the wrong end: with a list of search terms and estimated volume. That isn't wrong, but it is Google thinking. On Amazon you are not competing for a ranking of blue links but for a slot in a result grid where every product gets the same two seconds of attention โ€” and where the algorithm checks one thing above all: does this listing match the query, and do people buy afterwards?

So the more useful question is not "what is being searched?" but: which words does my category use to describe what it sells โ€” and which of them am I missing?

The three sources that matter

  1. Your competitors' listings. Titles and bullets of the products that actually sell in your category. They are the most honest dictionary of your market.
  2. Your own reviews. Buyers write in their own words why they bought. Those are the words they type into search.
  3. Search-volume data. Useful to decide between two equivalent phrasings. A poor starting point, because it says nothing about your specific competition.

Why we weight instead of count

Simply counting words misleads: "with", "for" and "the" appear in every listing. So we weight by TF-IDF โ€” a term counts for more the more often it appears in one listing and the rarer it is across the field. What remains are the words that actually differentiate.

In the sample report that produced 1,692 unique words from 54 air-fryer listings. The bar shows how many listings contain a term:

heissluftfritteuse96 %
airfryer65 %
weniger63 % ยท gap
kochen59 %
pommes59 %
oel59 %
backen54 %
fett48 % ยท gap
fassungsvermoegen48 %
frittieren44 % ยท gap
gleichzeitig43 % ยท gap
Red = missing from the analysed listing. Source: sample report, chapter 4 (Listing & Keywords), amazon.de, July 2026. Terms are German โ€” it is a German marketplace.

Keyword gaps: the actual finding

What matters is not the terms everyone has โ€” it is the ones many have and you don't. In the example there were four: weniger (less, 63 % of competitors), fett (fat, 48 %), frittieren (to fry, 44 %) and gleichzeitig (at once, 43 %).

Individually these look trivial. Together they are half the category's buying argument: "up to 90 % less fat" and "two dishes at once". A listing without those phrasings does not surface for exactly the searches buyers use to express their decision.

What high coverage does not mean

"heissluftfritteuse" appears in 96 % of listings. Optimising for that word buys no advantage โ€” it is an entry ticket, not a lever. The rule behind it holds in almost every category:

  • Above 90 % coverage: mandatory term. Missing it is a mistake; having it is not an advantage.
  • 40 to 70 %: the interesting zone. This is where you either compete or get overlooked.
  • Below 20 %: either a genuine niche โ€” or a word nobody in your category uses. Both need checking, not guessing.

Where the terms belong

  1. Title โ€” the two or three most important terms, in readable language. A title made of stacked keywords lowers click-through and eventually your ranking.
  2. Bullets โ€” one buying argument per bullet, with the matching term inside. Don't transcribe the spec sheet.
  3. Backend search terms โ€” synonyms, spelling variants, typos. No repetition of what is already in the title.
  4. A+ content โ€” not indexed like titles and bullets, but it helps conversion. This is where terms go that didn't fit in the title.

Three mistakes we see regularly

  • Keyword stuffing in the title. Amazon truncates long titles on mobile โ€” your strongest argument ends up out of sight.
  • Research once and never again. Competitors change their listings. A term that was rare six months ago can be standard today.
  • Ignoring your own reviews. They spell out which words your buyers use โ€” free, no tool required.

How keyword gaps interact with the other listing problems is covered in the five most expensive listing mistakes. The terms around BSR and Buy Box are explained in the glossary.

Frequently asked questions

How do I find keywords for my Amazon listing?

Start with the titles and bullets of competitors that actually sell in your category โ€” they show which terms your market uses to phrase its buying arguments. Add the words from your own reviews. Search-volume data helps afterwards, to choose between equivalent phrasings.

What is a keyword gap?

A term a large share of your competitors use that is missing from your listing. In the sample report there were four, with 43 to 63 percent coverage across the competitive field.

How many keywords does an Amazon listing need?

There is no useful target number. What matters is covering the terms your category sells with โ€” two or three in the title, one per bullet, the rest in backend search terms.

How often should I repeat keyword research?

At least quarterly, and whenever new competitors enter the category or you add a variant. Competitor listings change constantly, and so does coverage across the field.

Sources & further reading

Research as of June 2026. External sources are linked for verifiability; linking is not an endorsement. Statements about Scoutvo refer to our own analysis practice for amazon.de.

See it for your own category

With real amazon.de data, Scoutvo shows you who really sells in your category, which purchase criteria matter and where your listing leaves revenue on the table โ€” proven, not guessed.

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