Generate long-tail, buyer-intent, attribute, and seasonal keyword variations for your Amazon listings and backend search terms. No signup, no email gate, no daily limit.
Last updated: July 2026
Amazon is a search engine where every query carries purchase intent — which makes keyword research more valuable per keyword than on Google, and different in mechanics. Amazon's ranking algorithm (A10) first checks relevance (is the keyword present in your title, bullets, or backend terms?) to decide whether you are indexed at all, then ranks indexed products by performance: conversion rate, sales velocity, price, reviews, and delivery speed. Keyword research solves the first half of that equation — if a term is not in your listing, you cannot rank for it, no matter how good your product is.
Head terms ("yoga mat") have the volume but brutal competition — you target them in your title and win them last. Attribute keywords ("yoga mat extra thick non slip") match how buyers actually filter: color, size, material, use case. These convert better because the searcher already knows what they want. Long-tail and intent phrases ("best yoga mat for bad knees") have small individual volume but add up — and they are usually where a new listing gets its first sales, which then feed the velocity that A10 rewards on bigger terms. A healthy listing targets all three tiers deliberately rather than stuffing one.
Every Amazon listing has a hidden Search Terms field capped at 250 bytes. Amazon ignores the field completely if you exceed the limit — one of the most common silent listing errors. Fill it with what your visible copy does not already say: synonyms ("wireless" / "bluetooth"), regional vocabulary ("trainers" for UK shoppers, "sneakers" for US), common misspellings, and adjacent use cases. Skip punctuation, skip repetition of title words (they are already indexed), and skip competitor brand names (against Amazon policy). The generator above marks "Attribute" and "Long-tail" suggestions — those are typically your best backend candidates.
A generated keyword list is a hypothesis; Amazon autocomplete is the free validator. Type each candidate into the Amazon search bar: if it appears as a suggestion, real buyers search it. Then check the results page — if page 1 shows products genuinely like yours, the keyword is relevant; if it shows something else, Amazon interprets that query differently than you do, and ranking there would bring clicks that never convert. For sellers with Brand Registry, Amazon Brand Analytics adds actual search-frequency ranking for free. Paid tools (Helium 10, Jungle Scout, SellerApp) add estimated volumes and reverse-ASIN data — useful at scale, unnecessary for validating a first listing.
Keyword sets do not transfer across marketplaces. German buyers search compound words on Amazon.de, French buyers use different product vocabulary on Amazon.fr, and seasonal spikes differ per country. If you sell across Amazon Europe — or on Kaufland, Allegro, bol.com, and other EU marketplaces — every market needs its own localized keyword research. That per-market localization is exactly what Marqetir automates: AI generates localized titles, bullets, and backend terms for each marketplace from your one product catalog.
Marqetir's AI generates optimized, localized keywords, titles, and backend search terms for Amazon and 12+ European marketplaces — from one product catalog, in every market's language.