Key takeaways
- Understand intent, not just volume.
- Check the search results for relevance.
- Map terms to the right listing elements.
- Keep a master list and update it.
What keyword research is for
The aim is to understand the words and phrases shoppers use, what they mean by them and how competitive they are. It guides listing content and advertising targets. It is not about collecting the longest list, but about identifying the terms that matter for your product.
Gather seed terms
Start with your product's name, type, features, use cases and common problems it solves. Add terms from customer reviews, questions and answers and competitor listings. Include alternative names and spellings used in different regions.
Expand with data sources
Use Amazon's search suggestions, advertising search term reports and, where you have access, brand analytics tools. Third-party tools can add estimates of volume, but treat their numbers as approximations.
- Search suggestions
- Advertising search term reports
- Brand analytics where available
- Review and Q&A language
Understand intent
Group terms by what the shopper wants: a specific product type, a feature, a use case, a brand or a comparison. Intent determines whether a term suits your listing. Terms that describe a different product are not worth targeting, even if they have high volume.
Check relevance and competition
Search each important term and look at the results. If the results are different products, the term is not relevant. Assess how competitive it is by looking at the strength of listings that appear.
Map terms to listing elements
Place the most important terms in the title and bullets in natural phrasing, secondary terms in attributes and backend fields and long-tail terms in the description or enhanced content. Avoid repeating the same term many times.
Use research for advertising too
Terms that perform well in advertising can inform listings, and vice versa. Keep a master keyword list with notes on relevance, intent, performance and where each term is used.
A worked example
A seller of a reusable travel bottle finds that shoppers search by capacity, material and use case such as commuting. They restructure the title and bullets around those attributes, add compatibility details and use search term reports to find unexpected, relevant phrases.
Common mistakes
Typical mistakes include chasing volume over relevance, stuffing keywords and failing to update research. Revisit research each season and after major changes.
A repeatable keyword research routine
Set aside time each quarter for each important product. Refresh your seed list from reviews and questions, pull the latest search term data, group terms by intent, check relevance in the live search results and update your master list. Compare against the previous version to see which terms are new and which have faded.
Share the updated list with whoever manages listings and advertising so both use the same language. A shared list prevents duplication and keeps content and campaigns aligned.
Your next three steps
Run a focused research session for one product.
- Collect seed terms from reviews, questions and competitors.
- Group them by intent and check the live results for relevance.
- Map the best terms to the title, bullets, attributes and backend fields.
Frequently asked questions
Which tools should I use?
Amazon's own data first, then third-party tools as supplements, treating estimates cautiously.
How many keywords do I need?
Enough to cover the main intents. Quality and relevance matter more than quantity.
This guide is general information. Amazon's fees, policies and program rules change and vary by marketplace, so confirm current details in Seller Central and, for tax or legal questions, with a qualified adviser.