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.

5 August 2026 ยท 9 min read ยท Keywords ยท Scoutvo
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?
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:
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.
"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:
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.
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.
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.
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.
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.
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.
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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