Ecommerce Keyword Research: A Step-by-Step Workflow for Shopify Stores

This guide walks Shopify merchants through a complete keyword research workflow, from extracting seed phrases out of product catalogs to expanding lists with Google Keyword Planner, Ahrefs, and DataForSEO. It then covers how to classify search intent and map each term to the right product, collection, or blog page.

Keyword research for ecommerce is where every sustainable Shopify SEO strategy begins. Without a clear list of the terms your buyers actually type, every product description, collection page, and blog post becomes guesswork. This guide gives you a practical, step-by-step workflow to build that list, classify it by intent, and map each keyword to the right page on your store.

What You Need to Know Before You Start

• Seed phrases come from your catalog, not from a tool. Product titles, attributes, and category names are your starting point.
• Expansion tools fill the gaps, giving you volume estimates, related terms, and competitor keywords you would never guess.
• Intent classification decides page type. Commercial queries belong on product or collection pages, informational queries belong on the blog.
• Internal search data is gold. Your Shopify store already collects real shopper queries that no external tool can replicate.
• Mapping is the deliverable. A keyword list without page assignments is just a spreadsheet.

Step 1: Extract Seed Phrases From Your Products

Open your Shopify product catalog and export it as a CSV. Pull the product titles, vendor names, product types, tags, and collection names into a single column. These become your raw seed list. A store selling running shoes might generate seeds like running shoes, trail running shoes, men's running shoes, Brooks Ghost, and cushioned running shoes within minutes.

Next, look at how customers describe these products in reviews, support emails, and live chat transcripts. Real buyer language often differs from your internal product naming. If your team calls something a technical jacket but customers call it a waterproof shell, both belong in the seed list. This is where ecommerce research starts overlapping with voice-of-customer work.

Finally, mine your competitors. Visit two or three direct competitors and extract their collection names, navigation labels, and filter options. You are not copying, you are identifying the vocabulary shoppers in your category already recognize. Treat the result as a draft, not a final list.

Step 2: Expand With Google Keyword Planner, Ahrefs, and DataForSEO

Once you have seed phrases, run them through expansion tools to get volume, related queries, and difficulty signals. Each tool has a clear role in the workflow.

Google Keyword Planner remains the baseline for commercial volume. It is free with a Google Ads account and pulls directly from Google's own data. Paste in 10 to 20 seeds at a time and export the suggestions. Volumes are bucketed rather than exact, but the directional signal is reliable. Google's official Keyword Planner documentation explains how match types and locations affect the numbers.

Ahrefs shines for competitor gap analysis. Drop a competitor domain into Site Explorer, filter for organic keywords driving traffic to their product and collection URLs, and export. The Keywords Explorer also gives a Keyword Difficulty score and parent topic, which helps you decide whether a term deserves its own page or should be folded into a broader one. The Ahrefs guide to keyword research covers the underlying methodology in depth.

DataForSEO is the right choice when you need raw API access. If you are pulling thousands of keywords across multiple stores or markets, DataForSEO returns search volume, CPC, and SERP features in bulk at low cost. Most solo merchants will not need it, but agencies and multi-store operators rely on it heavily. As of November 2026, DataForSEO pricing starts well below the per-seat cost of major SEO suites, which makes it useful for one-off bulk projects.

Combine the outputs into one master spreadsheet. Deduplicate, then sort by monthly search volume. You now have a working keyword universe.

Step 3: Pull Ecommerce Internal Search Data

Your Shopify store is already running an ecommerce search engine, and the queries it captures are some of the most valuable data you have. Internal search reveals exactly what visitors expect to find on your site, including products you do not yet stock.

In Shopify admin, go to Analytics, then Reports, and open the Top online store searches and Top online store searches with no results reports. Export both. The first list confirms which terms drive engagement and conversions. The second list, the zero-result queries, is a roadmap for new products, new collections, or content gaps.

If you use a third-party search app, the export is usually richer, including click-through rate and add-to-cart rate per query. Treat any internal search term with meaningful volume and zero matching products as a priority. These are buyers actively trying to spend money on your site.

What About Removing Search From the Shopify Header?

Some merchants ask how to handle the Shopify remove search from header question. Before you hide it, remember that internal search users typically convert at two to three times the rate of browsing visitors, according to data summarized by Baymard Institute. If design pressure is the reason, consider a search icon that expands rather than removing the function entirely. The data your search bar generates is too valuable for keyword research and merchandising to lose.

Step 4: Classify Search Intent

Every keyword has an intent, and intent decides which page type ranks. Classify each term in your master list into one of four buckets.

Transactional queries signal a buyer ready to purchase, often with brand, model, or buy modifiers. Examples include Brooks Ghost 16 size 10 and buy waterproof hiking jacket. These map to product pages.

Commercial investigation queries are comparing options. Best running shoes for flat feet or trail running shoes under 150 fall here. These map to collection pages or comparison-style blog posts.

Informational queries want to learn something. How to clean running shoes or what is a drop in running shoes belong on the blog as guides or explainers.

Navigational queries are looking for a specific brand or store. These rarely need new pages but should be checked to ensure your homepage and brand pages rank for your own name.

A practical shortcut: open the top three Google results for any keyword you are unsure about. If Google returns product pages, the intent is transactional. If it returns category listings or buying guides, it is commercial. If it returns articles, it is informational. Match what Google already validates. Google Search Central reinforces this alignment between intent and page type as a core ranking signal.

Step 5: Map Keywords to Product, Collection, and Blog Pages

The final step turns research into a content plan. Add three columns to your spreadsheet: target page type, target URL, and priority. For every keyword, decide where it lives.

Transactional terms map to existing product pages. If volume justifies it, create dedicated product variants or even separate listings for size, color, or material variations. Commercial terms map to collection pages. Shopify lets you create custom collections with rules-based logic, and each collection can target a distinct keyword cluster like waterproof hiking jackets or merino wool base layers.

Informational terms map to blog posts. Group related questions into pillar articles surrounded by supporting cluster posts. This builds the topical authority structure that signals expertise to Google. A pillar on choosing running shoes might cluster around guides on pronation, cushioning, and terrain.

Document everything in a single source of truth: keyword, intent, target URL, priority, and status. Review the document quarterly as your catalog grows.

Connecting Keyword Research to Broader Ecommerce Market Research

Keyword research is one input into ecommerce market research, not a replacement for it. The market research marketing definition covers customer interviews, competitor analysis, pricing studies, and demand forecasting. Keywords confirm demand and reveal language, but they do not tell you whether margins support entering a category or whether a niche is too crowded to win.

Pair your keyword data with competitor traffic estimates, average order value benchmarks, and inventory feasibility before committing to a new collection. The merchants who combine market research ecommerce thinking with disciplined keyword work consistently outrank those running either approach in isolation.

Key Takeaways

• Start with your catalog. Product titles, tags, and collections produce the most relevant seed phrases.
• Use expansion tools strategically. Keyword Planner for volume, Ahrefs for competitor gaps, DataForSEO for bulk work.
• Mine your internal search. Zero-result queries are unfiltered demand signals from real shoppers.
• Classify by intent before mapping. Page type follows intent, not the other way around.
• Document the mapping. A keyword universe without assigned URLs is unfinished work.

What to Do Next

Run this workflow on one product category first rather than your entire catalog. A focused pass on a single collection produces a complete, mapped keyword set in a few hours and gives you a template to scale across the rest of the store.

If you want to automate the expansion, intent classification, and Shopify publishing steps, RankBird installs from the Shopify App Store and connects to Google Search Console to build topic clusters from your real impression data. A free tier is available, and articles publish directly to your Shopify blog with proper schema markup.

Frequently Asked Questions

What is keyword research for ecommerce?

Keyword research for ecommerce is the process of finding the search terms shoppers use to discover products, then mapping those terms to specific product, collection, and blog pages. The goal is to match commercial and informational queries to the page type most likely to convert or rank.

How is ecommerce keyword research different from regular keyword research?

Ecommerce keyword research focuses heavily on commercial intent, product attributes, and category structure rather than purely informational topics. It also accounts for branded SKUs, long-tail product modifiers, and how Shopify generates collection and product URLs.

What is the difference between market research and keyword research in ecommerce?

The market research marketing definition refers to studying customers, competitors, and demand at a strategic level, while keyword research is a tactical subset focused on the exact phrases people type into search engines. Ecommerce market research informs which categories to enter, and keyword research informs how to rank inside them.

How can I use ecommerce internal search data for keyword research?

Ecommerce internal search logs show the exact phrases shoppers type on your store, including products you do not yet stock. Export these queries from Shopify analytics or your search app and treat zero-result searches as priority keywords for new collections, products, or blog content.

Should I remove the search bar from my Shopify header?

Most stores benefit from keeping search visible because internal search drives higher conversion rates than browsing. If you want to know how to remove search from the Shopify header for design reasons, it is usually a theme setting under header customization, but consider the SEO and UX cost first.

Which tools are best for ecommerce keyword research?

Google Keyword Planner is reliable for commercial volume estimates, Ahrefs is strong for competitor gap analysis and difficulty scoring, and DataForSEO offers raw API access for bulk processing. Most Shopify merchants combine two of these with their own internal search data.