Shopify Keyword Research for Beginners: Free Tools and Real Buyer Queries

Every Shopify SEO guide starts the same way: do your Shopify keyword research first. Almost none tell you how to do it without paying for a subscription.

You read three paragraphs and hit the line that says to plug your seed term into Ahrefs. Ahrefs Lite runs $129 a month. Semrush Pro runs $139.95. For a store doing 40 orders a month that is a strange thing to commit to on step one of a process you have never tried.

So the tab gets closed, and the store goes live without a keyword map.

Shopify keyword research does not need a paid tool. It needs four free data sources, one focused afternoon, and a willingness to read the search results page instead of trusting a number someone else calculated. That is the same first pass I run on client work before any paid tool touches the account.

I will also show three months of this site's own Search Console data, including the parts that do not flatter the method. One head term here pulled 1,644 impressions and zero clicks.

Why Shopify keyword research stops at the paywall

Shopify keyword research is two questions wearing one name. What words do people type when they want what you sell, and which page on your store should answer each of them?

Neither requires a subscription. Every guide reaches for one because paid tools compress hours of manual checking into a single screen, and the people writing those guides mostly work for the companies selling them.

A paid tool buys two things: precise search volume, and a difficulty score. Knowing a keyword gets 2,400 searches rather than "1K to 10K" changes your forecast, not your decision. You are choosing between a term you can plausibly reach and one you cannot, and that gap is an order of magnitude.

Difficulty scores have the bigger problem. Built mostly from backlink data, they tell you how hard a keyword is on average across all sites. They do not tell you whether a store your size has a lane on that specific results page. The page itself tells you that, and looking at it costs nothing.

Start with the free data you already own

If your store has been live more than about six weeks, you already own keyword data nobody else has: the exact queries Google has shown your pages for. Your Search Console query report beats every other starting point because it reflects your store rather than a category average. If you have not connected it, start with setting up Search Console for your Shopify store.

What to pull, and what it means

Open Performance, set the range to the last three months, switch on Average position, and sort the query table by impressions. Read it in three groups.

Position between roughly 8 and 25. Near-misses. Google already thinks your page is relevant and is testing it just outside the click zone. Improving a page that ranks 14th is far cheaper than creating one from nothing.

Position past 30. Topic signal, not a target. Google is showing you occasionally because nothing better exists for a rare phrasing.

Queries you did not expect. The gold. If shoppers reach a product page through a phrase you never wrote anywhere, they have handed you your next title.

The half of the report Google does not show you

Your query table is incomplete by design. Google omits what it calls anonymized queries, defined in Search Central's breakdown of performance data filtering as searches not issued by more than a few dozen users over a two-to-three month window. The clicks still count in your totals. The phrase is withheld.

Ahrefs measured the scale across 22 billion clicks and 887,534 properties in April 2025 and found anonymized queries made up 46.77% of traffic on average, with the most common per-site range running from 45% to 80%. Smaller, more specialised sites lose more, because rare searches are exactly what the threshold removes.

So treat the table as a sample, not a census. Roughly half the picture is missing, and the missing half is the long tail.

The free Shopify keyword research tools worth your time

Four sources cover the whole job. Each does something the others cannot, which is why the workflow uses all four.

Bing Webmaster Tools keyword research

The most underrated free tool here. Bing's Keyword Research tool is free with any verified account and reports exact monthly numbers rather than bucketed ranges, filtered by country and device, with a question filter that surfaces query-shaped searches directly. Bing volume is smaller than Google volume, so read it as a ratio. And because Bing feeds Microsoft Copilot, its question data doubles as a list of prompts AI assistants already answer.

Google Keyword Planner

Free, but it lives inside Google Ads, so you need an Ads account. You do not need to run a campaign or enter a card: choose Expert Mode during setup and skip campaign creation. Accounts without active spend see volume as wide ranges like "1K to 10K" rather than exact figures, and the competition column refers to advertiser competition, not organic difficulty. Reading that column as an SEO signal is the most common mistake people make here.

Google autocomplete and People Also Ask

Type your product category into Google and read the dropdown. Those are real queries, ranked by frequency. Add a letter after your seed term and cycle the alphabet to pull dozens more, then expand a few People Also Ask entries. No volume numbers here, but it is the closest you get to hearing your buyer talk.

Google Trends

Relative interest, not absolute volume. Two keywords side by side tell you which is growing, and a 12-month view tells you when your category peaks.

How do you judge intent and difficulty without a paid score?

You open the search results and look at them. This one step replaces both the difficulty score and the intent guess, and it is the step beginners skip. Search the keyword in an incognito window set to the country you sell to, then answer three questions.

1. What type of page is ranking?

Google has already decided what kind of page satisfies this query. If page one is filled with collection and category pages, a blog post will not rank there however well written. If it is filled with articles and buying guides, a product page will not rank there either. Shopify's guidance on keyword types and page mapping lines up: product pages take transactional searches, collection pages take broader commercial ones.

2. Who is ranking, and is anyone your size?

Scan the domains. If every result is a marketplace and three national retailers, that keyword is not available to you this year. If two or three are independent stores or small blogs you have never heard of, there is a lane. This beats any difficulty score, because it is specific to the query rather than an average.

3. Does anything on page one answer the query well?

Sometimes Google ranks the best available page rather than a good one: thin content, outdated pages, near-miss answers. That gap is your opening, and no difficulty score can see it.

Reading intent from the words themselves

Shopify's ecommerce keyword research guide splits queries into four intents, and the modifier gives it away. "How," "what," and "why" are informational. "Best," "top," and "vs" are commercial investigation. "Buy," "price," and a product name are transactional. A brand name alone is navigational.

What three months of my own Search Console data shows

This journal publishes daily and has been live since May 2026. The Search Console export for May 8 to August 1, 2026 reads: 324 named queries, 4,120 impressions, three clicks.

Three clicks. I lead with that because it would be easy to show the pattern underneath without the context and make it look like more than it is.

Longer queries rank better. Short ones barely rank at all.

Grouping every clean query by word count and taking the median average position produced this:

The trend is steady rather than dramatic. The top individual results are where it gets interesting, and they were all question-shaped or comparison-shaped: "how to show star ratings in google search shopify" at position 7.6, "do photo and video reviews convert better?" at 8.0, and "loox vs yotpo" at 13.9 across 202 impressions.

The biggest term in the export, "shopify seo checklist," pulled 1,644 impressions at position 28.4 and produced nothing. That is 40% of all impressions on this site sitting on page three, where nobody goes.

The part that does not flatter the method

Long-tail queries win position first. They do not win volume for a long time afterward.

There is a real counterargument too. A SparkToro analysis of 332 million queries, reported by Search Engine Land, found that queries with fewer than 11 searches a month account for only 3.6% of total demand. The long tail is easy to reach and thin on volume.

So the honest version: long-tail, question-shaped, and comparison keywords are where a new store gets its first rankings, and no single one will change your month. Thirty of them working at once will, over quarters rather than weeks.

One product, start to finish

Take a waxed canvas laptop sleeve for a 14-inch laptop, sold by a store with about 20 SKUs. Here is the full pass, using nothing paid.

Step 1: Write the seed list by hand, before opening anything

Three columns: what you call it, what a customer would call it, what it is an alternative to. That produces waxed canvas laptop sleeve, laptop sleeve 14 inch, canvas laptop case, minimalist laptop sleeve. Five seeds is plenty, and this is the step people skip.

Step 2: Expand with autocomplete and People Also Ask

Type each seed into Google, record the dropdown, run the alphabet trick, expand a few People Also Ask entries. Real variants that surface: "waxed canvas laptop sleeve 14 inch," "is waxed canvas waterproof," "waxed canvas vs leather laptop bag," "how to clean a waxed canvas laptop sleeve."

Step 3: Size the list in Bing and the Keyword Planner

Paste the list into Bing for exact numbers, then into Keyword Planner for suggestions you missed. Sort into three buckets: roughly hundreds, roughly thousands, roughly tens of thousands.

Step 4: Read the results page for your top eight

About three minutes each. Note the dominant page type and whether any independent store ranks, then drop anything where page one is entirely marketplaces and national retailers. "Laptop sleeve" fails that test. "Waxed canvas laptop sleeve 14 inch" returns small store product pages, so it stays.

Step 5: Assign one primary keyword per page

The output is a spreadsheet with three columns: keyword, target page, intent. One primary keyword per page, no exceptions. Secondary terms live inside that same page.

Where does each keyword go: product, collection, or blog?

This is the step that turns a list into a plan, and where most Shopify keyword research falls apart. A keyword on the wrong page type will not rank, however good the page is.

Product pages take the specific, transactional terms

Anything with a size, colour, material, model, or compatibility detail. These convert best because the searcher has already decided what they want, so getting the phrasing into the title matters more here than anywhere else. More in product descriptions that rank and convert.

Collection pages take the broad commercial terms

Category-level searches where the shopper wants options, not one item. "Canvas laptop sleeves," "gifts for coffee drinkers." These are the highest-value pages in most Shopify stores and the most neglected, since Shopify generates them with no description. The full argument is in collection page SEO.

Blog posts take questions and comparisons

Anything a product page cannot honestly answer: how something works, how two things differ, how to care for a thing. If several keywords cluster around one theme, build a group of connected posts rather than one long page, the idea behind building a topic cluster. Short on subjects? There are 30 blog post topics in an earlier post.

Is low search volume a reason to skip a keyword?

Usually not, if the intent is close to buying. A keyword with 90 monthly searches and clear purchase intent is worth more to a small store than a 12,000-search term you will not touch for two years.

The exception is zero. If Bing shows nothing, the Keyword Planner shows nothing, and autocomplete does not suggest it, you invented the phrase. That happens more often than expected.

Wrapping up

Free tools are enough for Shopify keyword research. Search Console for what you already rank for, Bing for exact numbers, the Keyword Planner for ideas and rough sizing, autocomplete and People Also Ask for real buyer wording. A paid subscription speeds up work you can do without it, and speed is not your constraint in year one.

The results page is your difficulty score. Reading page one for eight keywords takes half an hour and tells you what no metric can: whether a store your size has room. Do that before you write anything.

And expect the long game. My own data shows question-shaped queries reaching page one while head terms sit on page three, and that pattern producing three clicks in twelve weeks. Rankings arrive first and traffic follows later. Anyone promising a different sequence is selling something.

What comes after is unglamorous: take the map and fix the pages one at a time, in the order set out in the 25-page Shopify SEO checklist. Start with five keywords, not fifty, and check Search Console in six weeks. The report will tell you what to do next, which is the whole point of building the habit.

Or email contact@studioniza.com if you have a specific question about your store. I read every one.

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