What makes ecommerce keyword research different
Ecommerce keyword research is the process of finding the exact words and phrases shoppers type into search engines when they're browsing, comparing, or ready to buy products like yours — then mapping those phrases to the specific pages on your store that should answer them.
It differs from general content keyword research in one important way: most ecommerce searches sit close to a purchase decision. A shopper searching "best running shoes for flat feet" or "waterproof hiking boots women's size 8" isn't just curious — they're often a few clicks from a cart. That means your keyword research has to do double duty: it needs to surface what people search for, and it needs to tell you whether a search belongs on a category page, a product page, or a blog post that supports the buying decision without selling directly.
This guide walks through a practical, no-paid-tools-required method for finding and organizing ecommerce keywords, deciding where each one belongs on your site, and avoiding the most common mistakes that cause store owners to target the wrong terms.
Start with the searches your own store already proves exist
Before looking anywhere else, check the search data you already own. If your store platform has an internal site search feature, export what customers typed into your own search bar over the last few months. These are not guesses — they are confirmed phrases typed by people already on your site, which makes them some of the highest-confidence keyword candidates available to you.
Pair that with your checkout and support data: the product questions your team gets asked by email or chat are often the exact long-tail phrases shoppers later type into Google when researching a purchase. A question like "does this blender crush ice" is both a support ticket and a keyword.
Reader-run check: Pull your last 90 days of internal site search queries (if your platform logs them) and your last 20–30 customer support questions about products. Group them by product or category. Any phrase that appears more than once from different customers is a strong candidate for either a product page FAQ section or a supporting blog article.
Use autocomplete and "People also ask" as a free keyword source
You don't need paid software to find real search phrases. Search engines show you what people actually search for through two free surfaces:
- Autocomplete suggestions — type your product category into the search bar and note every suggestion that appears, then add a letter or word (e.g., "running shoes for," "running shoes women's," "running shoes narrow") to surface more specific variations.
- Related/"People also ask" boxes — these show adjacent questions real searchers ask around a topic, which is useful for identifying supporting blog content that can link to your product or category pages.
Do this for every core product category, not just your homepage keyword. A store selling hiking boots should run this exercise separately for "hiking boots," "waterproof boots," "trail shoes," and any other category-level term customers actually use — because autocomplete results differ meaningfully between each one.
Reader-run check: For your top 5 product categories, record 15–20 autocomplete and related-question phrases per category in a spreadsheet. Tag each phrase with the product category it belongs to. This single exercise usually produces more usable long-tail phrases than most store owners expect from a single afternoon of manual work.
Sort every keyword by purchase intent before you build anything
Not every keyword deserves a product page, and not every keyword deserves a blog post. Sorting by intent first prevents you from writing a 1,500-word guide for a term that should have been a simple category page, or trying to rank a thin product page for a question that needs a real answer.
A practical way to sort ecommerce keywords:
| Intent signal in the phrase | What it usually means | Best destination |
|---|---|---|
| Includes a specific product name, size, model, or SKU-level detail | Shopper has already decided on the product type and is comparing options or ready to buy | Product page |
| Includes a category term plus a modifier (price, material, use case) | Shopper is narrowing down within a category | Category or collection page |
| Includes "how," "why," "what," "vs," "best for," or a problem description | Shopper is still researching before committing to a product type | Blog article or buying guide that links to relevant products |
| Includes your brand name or a competitor's brand name | Shopper already knows what they want or is comparing named brands | Brand/comparison landing page or honest comparison content |
This is a recommendation to adapt, not a fixed industry rule — some categories blur these lines, and you should verify intent by actually searching the phrase yourself and looking at what kind of pages currently rank for it. If the results page is full of product listings, that's a strong signal the intent is transactional. If it's full of articles and guides, the intent is informational, and a thin product page is unlikely to satisfy it.
Find low-competition long-tail keywords without paid tools
New or smaller stores competing against established retailers rarely win on short, high-volume terms like "running shoes." The more realistic path is long-tail keywords — longer, more specific phrases with lower search volume but far less competition and often higher buyer intent.
To find these without a paid keyword tool:
- Mine your own product attributes. Every size, color, material, use case, and compatibility detail on your product pages is a potential long-tail phrase. "Stainless steel French press 8 cup" is a long-tail keyword hiding in your own product specs.
- Read customer reviews on your own and competitor products. Reviews are full of the natural language real buyers use to describe problems and features — language that often differs from the marketing copy on the product page itself.
- Check forum and community discussions in your product niche for the specific phrasing people use when asking for recommendations (e.g., "best [product] for [specific situation]").
- Combine category + modifier systematically. List every category you sell, then list every modifier that matters to your buyers (size, price range, use case, material, audience, occasion) and cross them manually. This produces dozens of long-tail combinations per category without any software.
Search the five most specific ones and note whether the results are dominated by large retailers or whether smaller, less-optimized pages are ranking — the latter is a signal the term may be winnable for a smaller store.
Map keywords to pages — and avoid cannibalizing your own store
A common ecommerce SEO problem is having multiple pages compete for the same keyword: a category page, a product page, and a blog post all loosely targeting "best waterproof hiking boots," none of which clearly wins. Before publishing or optimizing anything, build a simple keyword-to-page map:
- One primary keyword (or tight cluster of near-identical phrases) per page.
- A clear note on intent (transactional, comparison, or informational) next to each keyword.
- A column for "already covered by" so you can see at a glance if a keyword is already assigned elsewhere on the site.
This map becomes your system of record. When you're deciding whether a new product line needs a new category page or whether a seasonal guide should be a blog post or added to an existing page, the map tells you instantly whether that intent is already spoken for.
How this connects to ongoing content, not just a one-time list
Ecommerce keyword research isn't a project you finish once. New product lines, seasonal demand shifts, and changing customer language all create new keyword opportunities over time, and pages that rank well today can slide as competitors publish and as search results change. Treat your keyword map as a living document you revisit when you add products, and treat your published guides and category pages as assets you occasionally recheck against current search results — not because every page needs constant rewriting, but because verifying that a page still matches what's actually ranking is a low-cost habit that catches drift early.
Where Pentra fits for stores that want this running continuously
Everything above can be done manually with a spreadsheet, your own site search data, and free search engine surfaces. For store owners who want the research-to-publishing loop running on an ongoing schedule rather than as a quarterly project, Pentra reads your website to draft a business profile you confirm, researches the keywords your customers actually search for, and writes articles from those confirmed business facts. A separate fact-check step reviews each article before it publishes, and Pentra publishes directly to WordPress, Shopify, Webflow, Ghost, or a GitHub-based site on a schedule you choose — from Autopilot to a manual Review-first mode where you approve every article. It also checks pages that sit close to page one so they can be improved, and reports clicks and positions from your own Google Search Console data. A free plan covers three articles a month with no credit card required, which is enough to test the workflow on one product category before committing further.
Frequently asked questions
Do I need paid keyword tools to do ecommerce keyword research? No. Autocomplete suggestions, related-question boxes, your own site search logs, customer support questions, and competitor reviews are all free sources that produce real, verified search phrases — because they come directly from what people actually typed or asked, not from an estimate.
How many keywords should one product page target? Treat each page as answering one core intent well, supported by closely related variations of the same phrase, rather than trying to rank one page for several unrelated intents. If two keywords clearly belong to different shopper intents, they likely need separate pages.
Should blog content or product pages come first for a new store? This depends on your current page-to-keyword map and what's missing. If your category and product pages already cover the transactional terms in your niche, informational blog content that links back to those pages is often the next gap. Verify this against your own map rather than assuming one order is universally correct.