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 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 workflow to build that list, classify it by intent, and map each keyword to the right page on your store.
A reliable workflow has four stages. Extract seed phrases from your product catalog, expand those seeds with research tools, classify each term by search intent, and map it to a product, collection, or blog page. Layer in your Shopify internal search data to catch demand your tools miss.
A few principles before you start. Seed phrases come from your catalog, not from a tool. Expansion tools fill the gaps with 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 valuable because your store already collects real shopper queries no external tool can replicate. And mapping is the deliverable, since a keyword list without page assignments is just a spreadsheet.
Step One: Extract Seed Phrases From Your Products
Export your Shopify product catalog 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 kitchenware might generate seeds like cast iron skillet, enameled dutch oven, and stackable mixing bowls within minutes.
Next, look at how customers describe these products in reviews, support emails, and chat transcripts. Real buyer language often differs from your internal product naming. If your team calls something a prep board but customers call it a cutting board, both belong in the seed list. This is where research starts overlapping with voice-of-customer work.
Finally, study your competitors. Visit a few direct competitors and note 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 Two: Expand With Research Tools
Once you have seed phrases, run them through expansion tools to get volume estimates, related queries, and difficulty signals. Each tool has a clear role.
A keyword planner tied to a search engine remains the baseline for commercial volume, pulling directly from the engine's own data. Paste in batches of seeds and export the suggestions. Volumes are bucketed rather than exact, but the directional signal is reliable.
Research suites are strongest for competitor gap analysis. Drop a competitor domain into the explorer, filter for organic keywords driving traffic to their product and collection URLs, and export. A difficulty score and parent topic help you decide whether a term deserves its own page or should be folded into a broader one.
A bulk API source is the right choice when you need raw access. If you are pulling many keywords across multiple stores or markets, it returns search volume and SERP features at scale. Most solo merchants will not need it, but agencies and multi-store operators rely on it.
Combine the outputs into one master spreadsheet. Deduplicate, then sort by monthly search volume. You now have a working keyword universe.
Step Three: Pull Internal Search Data
Your Shopify store is already running a 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, including products you do not yet stock.
In Shopify admin, go to Analytics, then Reports, and open the top online store searches report and the top searches with no results report. Export both. The first list confirms which terms drive engagement. 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. Treat any internal search term with meaningful volume and zero matching products as a priority. These are buyers actively trying to act on your site.
Some merchants ask whether to remove search from the header. Before you hide it, remember that internal search users typically act at a much higher rate than browsing visitors. 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 to lose.
Step Four: Classify Search Intent
Every keyword has an intent, and intent decides which page type ranks. Sort each term into one of four buckets.
Transactional queries signal a buyer ready to act, often with brand, model, or buy modifiers. These map to product pages. Commercial investigation queries compare options, such as best dutch oven for bread baking. These map to collection pages or comparison-style blog posts. Informational queries want to learn something, like how to season cast iron, and belong on the blog as guides. Navigational queries look for a specific brand or store and rarely need new pages, though you should confirm your homepage and brand pages rank for your own name.
A practical shortcut: open the top results for any keyword you are unsure about. If the engine 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 the engine already validates.
Step Five: Map Keywords to 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 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 enameled cast iron or stainless mixing bowls.
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. A pillar on choosing cookware might cluster around guides on materials, care, and cooktop compatibility.
Document everything in a single source of truth: keyword, intent, target URL, priority, and status. Review the document each quarter as your catalog grows.
Connecting Keyword Research to Broader Market Research
Keyword research is one input into market research, not a replacement for it. Market research covers customer interviews, competitor analysis, and demand patterns at a strategic level. Keywords confirm demand and reveal language, but they do not tell you whether a niche is too crowded to win. Pair your keyword data with competitor traffic estimates and inventory feasibility before committing to a new collection.
Key Takeaways
Start with your catalog, since product titles, tags, and collections produce the most relevant seed phrases. Use expansion tools strategically: a keyword planner for volume, a research suite for competitor gaps, a bulk source for large projects. Mine your internal search, treating zero-result queries as unfiltered demand signals. Classify by intent before mapping, because page type follows intent. Document the mapping, since 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.
Frequently Asked Questions
What is keyword research for ecommerce?
It 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 act or rank.
How is ecommerce keyword research different from regular keyword research?
It focuses heavily on commercial intent, product attributes, and category structure rather than purely informational topics. It also accounts for branded items, product modifiers, and how Shopify generates collection and product URLs.
How can I use internal search data for keyword research?
Internal search logs show the exact phrases shoppers type on your store, including products you do not yet stock. Export these queries and treat zero-result searches as priority keywords for new collections, products, or content.
Which tools are best for ecommerce keyword research?
A keyword planner is reliable for commercial volume estimates, a research suite is strong for competitor gap analysis and difficulty scoring, and a bulk API source offers raw access for large projects. Most merchants combine a couple of these with their own internal search data.
