Ecommerce Keyword Research: A Step-by-Step Guide for Online Stores

Most keyword research guides are written for blogs. They teach you to chase traffic, then leave you to work out why that traffic never buys anything.

For an online store, traffic is not the goal. Sales are. A shopper searching “buy waterproof hiking boots” is worth more than a hundred readers searching “how are boots made”, yet generic keyword advice treats them the same.

This guide walks you through ecommerce keyword research built for stores: how to find high-intent terms, map them to the right pages, and turn keywords into revenue.

What Is Ecommerce Keyword Research?

Ecommerce keyword research is the process of finding and analysing the search terms shoppers use to find products, then mapping those terms to your store’s product, category and content pages. The goal is to attract buyers who are ready to purchase, not just to grow traffic.

This is where keyword research for ecommerce differs from the ordinary kind. A blog is judged on visits. A store is judged on revenue. So an ecommerce keyword is only worth targeting if it points to a page that can sell something, and if the person searching it is somewhere on the path to buying.

Say you run a store selling home office gear. Someone searching “heavy duty monitor arm” is close to buying. Someone searching “how to set up a home office” is browsing. Both matter, but they belong on different pages, and knowing which is which is what keyword research gives you.

If you have done general keyword research before, the mechanics will feel familiar. What changes is the lens: every term gets judged on buying intent, not just search volume.

Why Ecommerce Keyword Research Matters

Keyword research is the groundwork for every other SEO decision you make. Get it wrong, or skip it, and you build your store on guesswork. Here is what it does when you get it right.

Drives High-Intent, Ready-to-Buy Traffic

The point of ecommerce keyword research is to find the terms buyers use, not just browsers. There is a real gap between someone typing “office chair” and someone typing “ergonomic mesh office chair for back pain”. The first could be anyone. The second is close to checkout.

When you target those high-intent terms, you pull in shoppers who are actively looking to spend, which is the traffic that actually moves revenue.

Improves Product and Category Page Visibility

Search engines need to understand what each page sells before they can rank it. Optimising a product listing for the exact phrases shoppers use, like “BPA-free water bottle” or “reusable gym bottle with straw”, helps that page show up for those specific searches.

The more precisely your pages match real queries, the more often the right shopper finds the right product.

Maps Out a Scalable Site Structure

Keyword research also tells you how to organise your store. The themes and categories that surface in your research become your navigation: categories, subcategories and product pages.

Ecommerce sites get messy fast. A store on WooCommerce, Shopify, BigCommerce or Magento can sprawl into hundreds of pages. If you set the structure early, guided by how people actually search, you avoid a painful cleanup later.

Guides Your Content and Blog Strategy

Not every keyword belongs on a product page. Research surfaces the questions shoppers ask before they buy, like “how to choose running shoes for flat feet”, which are better answered in a buying guide or blog post.

That content pulls in shoppers earlier in their journey, then routes them to the product pages that can sell to them.

Reduces Wasted Ad Spend

The same research feeds your paid campaigns. If you run paid advertising, such as Google Ads, targeting vague high-volume terms burns budget on clicks that never convert.

Cost per click is also a useful signal here. Advertisers bid more on terms that make them money, so a high cost per click often marks a keyword with strong buying intent, which is worth knowing before you spend on either SEO or ads.

The Building Blocks: How Ecommerce Keywords Are Judged

Before you start pulling keywords, it helps to understand how to judge one. These are the concepts that separate a keyword worth targeting from one that just looks good on a spreadsheet.

Search Intent: The Four Types

Search intent is the reason behind a query, or what the person actually wants to do. Most SEOs sort it into four types of search intent, and Google describes much the same thing in its own terms of “know, do, website, and visit-in-person”.

Here are the four, with an ecommerce example and the page each one suits:

• Informational: the shopper wants to learn something, like “how does noise cancelling work”. Best served by a blog post or guide.
• Commercial investigation: the shopper is comparing options before buying, like “best wireless earbuds 2026”. Best served by a category page or comparison article.
• Transactional: the shopper is ready to buy, like “buy AirPods Max”. Best served by a product page.
• Navigational: the shopper is looking for a specific brand or site, like “Nike official store”. Best served by your homepage or brand pages.

For a store, commercial and transactional terms usually earn their keep first, because they sit closest to a sale. But informational content still matters, since it catches shoppers earlier and feeds them toward your product pages.

Buying Intent vs. Search Intent

Search intent tells you what someone wants to do. Buying intent goes one step further and asks how likely they are to purchase.

Two terms can share the same search intent but very different buying intent. “Running shoes” and “best trail running shoes for wide feet” are both commercial, but the second searcher is far closer to checkout.

A quick proxy is cost per click. Advertisers bid more on terms that convert, so a high cost per click usually signals strong buying intent. It is not a perfect measure, but it is a fast one when you are weighing two similar keywords.

Keyword Specificity: Seed vs. Long-Tail

Keywords sit on a scale from broad to specific.

Seed keywords, also called head terms, are short and broad, like “coffee” or “laptops”. They pull high volume but vague intent, so they suit category pages. Long-tail keywords are longer and more specific, like “fair trade organic coffee beans”, and they carry lower volume but clearer intent.

Long-tail terms usually convert better, because the person searching them already knows what they want. For a newer store, they are also easier to rank for, which makes them the sensible place to start.

Keyword Metrics: Search Volume and Difficulty

Two numbers decide whether a keyword is realistic: search volume and keyword difficulty.

Search volume is the average number of monthly searches a term gets, which tells you the traffic on offer. Keyword difficulty estimates how hard it is to rank, usually on a scale up to 100. As a rough rule for a store, anything above roughly 20 monthly searches is worth a look, though this depends on your niche.

The trap is chasing volume alone. A high-volume term might be far too competitive for a new store, while a lower-volume long-tail term could bring fewer but far more ready-to-buy visitors. Weigh both against your own site’s authority.

Some terms also spike by season. Tools like Google Trends let you check whether demand for a keyword is steady or tied to a time of year, which is useful when you plan stock and campaigns.

Keyword Categories: Product, Category, Brand and Problem/Solution

It also helps to sort ecommerce keywords into a few working buckets:

• Product keywords name a specific item, like “Sony WH-1000XM5 headphones”. These fit product pages.
• Category keywords describe a type of product, like “noise cancelling headphones”. These fit category pages.
• Brand keywords include your name or a competitor’s, like “[your brand] running shoes” or “alternatives to [competitor]”.
• Problem or solution keywords describe the need your product meets, like “shoes for flat feet” or “quietest coffee grinder”.

Within brand keywords, it is worth separating branded from generic. Branded terms usually carry high buying intent and less competition, since mostly people selling that brand compete for them. Generic head terms bring volume but little intent on their own, so they work best as the focus of a category page rather than a product page.

Keyword Themes vs. Exact-Match Keywords

You do not need a separate page for every keyword. A single page can rank for hundreds of related terms, because search engines group semantically related words together and judge a page on the whole theme, not one exact phrase.

So instead of targeting one keyword per page, group closely related terms into a theme and build the page around that. A category page optimised for “men’s running shoes” can also rank for “running shoes for men”, “men’s trainers” and dozens of near-variants without repeating each one word for word.

A good rule is to map one or two themes per page. That keeps each page focused, and it stops two of your pages competing for the same terms, which we will come back to later.

How to Do Ecommerce Keyword Research: Step by Step

Here is the process end to end. Follow it in order, and each step feeds the next.

1. Brainstorm seed keywords from your products.
2. Expand the list with keyword tools.
3. Mine customer language from reviews, support and chat.
4. Expand with SERP features like autocomplete and related searches.
5. Do competitor keyword research.
6. Prioritise by relevance, intent, volume and difficulty.
7. Map keywords to the right page type.
8. Build a keyword-mapping sheet and avoid cannibalisation.
9. Track rankings and refresh the list.

Step 1: Brainstorm Seed Keywords From Your Products

Start with what you sell. List the broad terms that describe your products and categories, like “running shoes”, “organic tea” or “handmade jewellery”.

Then widen each one. Note the key features (like “waterproof shoes”), the benefits (like “fat-burning tea”), the use cases (like “study desk lamp”) and the problems your products solve (like “anti-slip gym shoes”).

Now think like your customer. People do not always search the way you write. Someone might type “gym shoes” when your product page says “training shoes”, so capture the everyday words alongside your own.

Step 2: Expand the List With Keyword Tools

Your seed list is the input. A keyword tool turns it into hundreds of ideas, each with the numbers you need to judge it.

Drop a seed keyword into a tool and you get related terms plus search volume, difficulty and intent. Google Keyword Planner is a free starting point, and paid tools like Semrush, Ahrefs or SE Ranking go deeper on volume, difficulty and competitor data. We compare the main options later in this guide.

AI tools can help here too. They are useful for brainstorming phrasing and simulating how a specific type of buyer might search, though you should still check any term they suggest against real volume and difficulty data.

Step 3: Mine Customer Language From Reviews, Support and Chat

Your customers tell you the exact words they use. You just have to listen.

Look through product reviews, question-and-answer sections, support tickets, live chat logs, emails and social media comments. Recurring phrases, complaints and descriptions often surface long-tail terms that tools miss entirely.

If several reviews mention “fits well for wide feet”, that phrase is worth targeting. It came from real buyers, so it carries real intent.

Step 4: Expand With SERP Features Like Autocomplete and Related Searches

Google itself is a keyword tool. A few features on the results page hand you real queries for free.

• Autocomplete: start typing your seed term and note the suggestions Google offers. Do this in a private browsing window so your own history does not skew the results.
• People Also Ask: the expandable questions in the results are common queries worth answering in blog posts and FAQs.
• People Also Search For and related searches: the suggestions at the bottom of the page show adjacent topics shoppers explore.

Marketplace search bars work the same way. Typing a seed term into Amazon, Shopee or Lazada surfaces the phrases buyers use when they are already in a shopping mindset.

Step 5: Do Competitor Keyword Research

Your competitors have already done some of this work. A keyword tool lets you see the results.

Enter a competitor’s domain or a specific product or category URL, and the tool shows the keywords that page ranks for. Compare that against your own list to find the gaps: terms they capture that you do not.

A quick way to prioritise is to look at the pages driving their traffic. If most of a competitor’s “running shoes” traffic lands on category pages, that tells you how to shape your own category URLs, and roughly how much work it will take to compete.

Step 6: Prioritise by Relevance, Intent, Volume and Difficulty

By now your list is long. This step trims it to the terms worth acting on, in this order.

Relevance comes first. A keyword that brings traffic with no link to what you sell is a distraction, however tempting its volume. Then check that the search intent matches the page you plan to rank, since a comparison query will not rank a bare product page. Finally, balance volume against difficulty and weigh both against your site’s authority.

The results page itself is a clue. If Google shows shopping ads, product listings or comparison articles for a term, that tells you what kind of page it expects, and whether you can realistically compete.

Step 7: Map Keywords to the Right Page Type

Every keyword should have a home. Match each term, or group of related terms, to the page type its intent suits.

Assign one primary keyword and a few related secondary terms to each important page, and make sure they fit what the page actually does.

Step 8: Build a Keyword-Mapping Sheet and Avoid Cannibalisation

Keep all of this in one place. A simple spreadsheet with columns for keyword theme, target page, search volume, difficulty and intent turns your research into a plan you can act on.

The mapping sheet does one more important job: it stops cannibalisation. That is when two of your pages target the same term and compete with each other, splitting the rankings so neither wins.

Give each keyword one home. If two pages could plausibly target the same term, either merge them or reassign one to a related theme. One page, one primary keyword.

Step 9: Track Rankings and Refresh the List

Keyword research is not a one-off. Search behaviour shifts, competitors move and your product range changes, so the list needs revisiting.

Track where your pages rank and how much traffic they bring using Google Search Console and Google Analytics. Give new pages a couple of months to settle before you judge them.

A workable rhythm is a full review each quarter with smaller monthly tweaks. If a page’s rankings or conversions slip, revisit its keywords for relevance and competition, and add new terms as you find them. Our ecommerce SEO checklist can help you keep this on track.

The Best Ecommerce Keyword Research Tools Compared

No single tool does everything, and you do not need them all. Here is what each of the main options is good for, so you can pick based on your budget and how deep you need to go.

Google Keyword Planner

Google Keyword Planner is free with a Google Ads account, and you do not need to run ads to use it. Enter a seed keyword or a URL and it returns related terms with volume and trend data, sourced straight from Google.

Two limits are worth knowing. Accounts with no active ad spend see search volume as broad ranges, like 1,000 to 10,000, rather than exact numbers. And its competition column reflects paid-ad competition, not how hard a term is to rank for organically. So it is a solid free starting point, but not enough on its own for SEO.

Semrush

Semrush is a broad SEO suite, and its Keyword Magic Tool pulls large lists of related keywords with volume, difficulty and intent, with filters to narrow them down fast.

For a store, two other features earn their place. Keyword Gap compares your domain against competitors to surface terms they rank for and you do not. Its ecommerce keyword data can also show conversion signals across major retailers, which helps you judge revenue potential rather than just traffic. It is a competitor of ours in search, so we point you to it on capability, not as a link.

Ahrefs

Ahrefs is the other major suite, and many people find its Keywords Explorer cleaner to read. It reports the usual volume and difficulty, plus a Clicks metric that estimates how many searches actually lead to a click.

That Clicks number matters for ecommerce. A term with high volume but few clicks, often because an AI Overview or featured snippet answers it on the page, may not be worth chasing. Ahrefs also bases its difficulty score mainly on how many sites link to the current top results, which gives you a rough sense of the backlinks you would need.

KWFinder by Mangools

KWFinder, part of the Mangools set, is a more affordable option that suits beginners. It gives clear search-volume estimates and an organic difficulty score from 0 to 100, with lower numbers meaning easier to rank.

If you are starting out and mainly want to spot long-tail terms you can realistically rank for, it covers that job without the complexity of the larger suites.

SE Ranking

SE Ranking is a good-value all-rounder that we use ourselves. It handles keyword research, difficulty scoring, competitor analysis and rank tracking in one place.

For a store watching costs, it offers much of what the larger suites do at a lower price point, which makes it a practical choice for ongoing research and monitoring rather than a one-off list.

Amazon, Marketplace Autocomplete, and Keyword Tool Dominator

Do not overlook the marketplaces. Typing a seed term into Amazon, Shopee or Lazada surfaces the exact phrases buyers use when they are ready to shop, which is different from how people search on Google.

Keyword Tool Dominator pulls those marketplace suggestions at scale and scores them, which saves you typing terms one by one. It is a quick way to gather product-level search terms that the general SEO tools miss.

Free vs. Paid: Which to Start With

If you are a new store on a tight budget, start free. Google Keyword Planner plus autocomplete and marketplace suggestions will get you a usable list without spending anything.

Move to a paid tool once you need two things the free options cannot give you: reliable organic difficulty scores, and competitor keyword data. That is usually the point where guesswork starts costing you more than a subscription would.

Where to Put Your Keywords: On-Page Optimisation

Research is only half the job. Once you have your keywords mapped to pages, you have to place them where search engines and shoppers will see them. This is where most stores leave value on the table.

Optimise Category and Subcategory Pages

Category pages are some of your most valuable pages, and some of the hardest to rank. When Google shows one, a shopper lands straight on a page full of relevant products, so it is worth getting right.

Give each category page one or two keyword themes, roughly 10 to 12 closely related terms, and place the primary keyword in these spots:

• The URL, kept short and readable.
• The title tag, with the keyword near the front.
• The body copy. Many category pages have none, which is a wasted opportunity. Write at least 300 words describing the category and work the main keyword in naturally.
• The image alt text, since Google reads images through their alt attributes.
• The meta description. It does not directly affect rankings, but a keyword-rich description can lift your click-through rate, which does.

Optimise Product Pages and Naming Conventions

Product pages are your conversion pages, so give them a consistent structure. A naming convention keeps them tidy and makes them easier to optimise at scale.

A reliable format is [brand] [model or number] [variation], which gives you a product title like “Adidas NMD XR1 core black”. Shoppers who search with that much detail are usually ready to buy, so matching their exact phrasing pays off.

Put the target keyword in the URL, title tag, meta description, alt text and body copy. Then weave related terms into the product description so the page can rank for the wider theme, not just the exact match.

Structure URLs and Site Architecture

Your site structure is how you arrange navigation, category pages, subcategory pages and product pages. A clean, shallow structure is easier for shoppers to use and for search engines to crawl.

Keep URLs short and descriptive, and avoid extra folders like “category” or “collection” where you can, since they add clutter without adding meaning. A format like /men/running-shoes reads better than a long string of nested paths.

Let your keyword themes guide the hierarchy. Broad category terms sit at the top, subcategories branch off them, and product pages sit at the bottom, so the structure mirrors how shoppers narrow down what they want.

Keyword Research Across Ecommerce Platforms

Where you actually enter your keywords depends on your platform. The research is the same, but the fields live in different places. Here is where to find them on the six most common platforms, so your mapped keywords make it onto the page.

WordPress and WooCommerce

On a WooCommerce store, WordPress handles the page and an SEO plugin handles the meta fields. The URL slug sits in the product editor itself.

Editing SEO Fields via Yoast or Rank Math

Yoast SEO and Rank Math both add a box below each product where you set the SEO title and meta description, with a live preview of how the listing will look in search. Put your primary keyword near the front of the title, write the description for clicks, and keep the slug short. Both plugins let you set templates so new products follow a consistent format.

Shopify

On Shopify, every product, collection, page and blog post has a “search engine listing” section at the bottom of its editor. Click edit and you can set the page title, meta description and URL handle.

Shopify recommends keeping the title to about 60 characters and the meta description to around 160, with your target keyword near the start of the title. It generates structured data and canonical tags automatically, so those live in your theme rather than the admin.

Magento (Adobe Commerce)

On Magento, now Adobe Commerce, each product has a “Search Engine Optimization” section holding the meta title, meta description and URL key. Category pages have the same fields under their own SEO settings.

Magento gives you a lot of control, including site-wide URL and canonical rules, which is useful for large catalogues but means there is more to configure than on a hosted platform.

BigCommerce

On BigCommerce, each product, category and page has a search engine optimisation section where you set the title tag, meta description and URL. If you leave the title blank, BigCommerce defaults it to the product name plus your store name.

Changing a product name also changes its URL, but BigCommerce sets up a redirect from the old address automatically, so you keep the ranking value the old page had built up.

Wix

On Wix, open a product or category and click “Edit SEO Settings” under Marketing and SEO. You can set the title tag, meta description and URL slug there, and Wix pre-fills defaults from the product name and description.

Wix also groups its meta tags, slugs and structured data on a single settings page, which makes it quicker to review your SEO fields across the store rather than opening each item one at a time.

Squarespace

On Squarespace, individual pages, blog posts and product listings each have their own SEO settings, reached through the page or product settings panel. You set an SEO title and description there, and the URL slug sits in the same area.

The one thing to watch is that Squarespace separates the site-wide SEO title from per-page titles, so check both if a product’s search listing does not look the way you expect.

Marketplace Keyword Research: Amazon, Shopee and Lazada

Google is not the only place shoppers search. Many start on a marketplace, and marketplace search works differently, so it deserves its own pass.

On a marketplace, nearly everyone searching is there to buy. That makes the autocomplete suggestions in Amazon, Shopee or Lazada a dense source of high-intent, product-level phrases. Type a seed term and note what the search bar suggests, then scan the top listings to see which words winning sellers put in their titles.

This research pays off twice. It sharpens your marketplace listings if you sell there, and it feeds your own store, since the exact phrasing buyers use on Shopee often matches how they search on Google. For a Singapore store, checking Shopee and Lazada alongside Google gives you a fuller picture of local demand than either one alone.

Keyword Research for AI Overviews and AI Search (GEO)

Ranking first is no longer the whole game. For many searches, Google now shows an AI Overview at the top, and tools like ChatGPT and Perplexity answer questions without sending a click at all. Getting cited in those answers is its own discipline, sometimes called generative engine optimisation, or GEO.

Keyword research still starts the process, but the target shifts. Instead of only asking “what do people search”, you also ask “what questions do AI answers pull in, and is my page shaped to be quoted”.

Google has not published how AI Overviews pick sources, but its guidance for creators and repeated industry analysis point to the same signals. Pages that get cited tend to answer a question directly and early, use clear headings and tables, show real expertise, and carry structured data. So when you map keywords, group the question-style terms together and give each a section that answers it in a sentence or two before expanding.

Two things help here. Adding structured data markup, especially FAQ and product schema, makes your answers easier to extract. And covering a topic more completely than anyone else, which search engines reward as information gain, improves your odds of being the source that gets quoted. Our guides to answer engine optimisation and generative engine optimisation go deeper on this.

Ecommerce Keyword Examples: A Starter List by Intent

To make this concrete, here is a small set of ecommerce keyword examples grouped by intent. Use them as a template for the kinds of terms to look for, not as a copy-paste list, since the right keywords depend on what you sell.

Notice the pattern. The closer a term sits to a purchase, the more specific it gets, and the better it fits a product page. Broad terms with vague intent, like “shoes” or “coffee”, belong on category pages where they can catch a wider audience and route them deeper.

Common Ecommerce Keyword Research Mistakes

A few mistakes come up again and again. Knowing them upfront saves you from redoing the work later.

Targeting the Same Keyword on Multiple Pages

When two of your pages chase the same term, they compete with each other. Google splits the signals between them, and often neither ranks as well as one focused page would. Give each keyword a single home, which is exactly what your mapping sheet is for.

Chasing Head Terms Over Long-Tail Buyer Intent

Broad, high-volume terms look tempting, but they are competitive and vague. A new store usually gets more sales from specific long-tail terms, where the searcher already knows what they want and fewer sites compete for the phrase.

Ignoring Search Intent and Mismatching the Page Type

A keyword is only useful if your page matches what the searcher expects. Point a product page at a term where Google shows buying guides and it will not rank, however well optimised it is. Check the results page first, then pick the page type to match.

Optimising for Volume With No Relevance to What You Sell

Traffic that does not convert is a cost, not a win. A term might have huge volume, but if it does not connect to a product you sell, it brings visitors who bounce. Relevance beats volume every time.

Treating Keyword Research as a One-Off

Search behaviour changes, competitors move and your range evolves. Research done once and never revisited goes stale. Build in a regular review so your keyword list keeps pace.

Ecommerce Keyword Research Checklist

Here is the whole process as a checklist you can work through for your own store:

1. Brainstorm seed keywords from your products, features, benefits and the problems they solve.
2. Expand the list with a keyword tool, then note volume, difficulty and intent.
3. Mine your reviews, support tickets and chat logs for the words customers actually use.
4. Pull more terms from Google autocomplete, People Also Ask and related searches, plus marketplace search bars.
5. Run competitor research to find the keywords they rank for and you do not.
6. Prioritise by relevance first, then intent, volume and difficulty against your site’s authority.
7. Map each keyword to the page type its intent suits.
8. Record everything in a mapping sheet, with one primary keyword per page to avoid cannibalisation.
9. Optimise each page’s URL, title, meta, headings, body copy and alt text.
10. Track rankings in Search Console, then review quarterly and refresh as you go.