Shopify SEO Tools: What Our Audit Numbers Actually Measure

By Milan Dhameliya · · 9 min read

Our audit snapshot reveals why duplicate-copy and missing-alt percentages need context. Learn what Shopify SEO tools measure before authorizing bulk changes.

Start with Shopify's built-in SEO fields and Google Search Console, then add Shopify SEO tools for a verified task such as finding repeated catalog copy or editing images in bulk. Before acting on an audit score, check which pages the tool examined, what its percentage counts, and whether its flag describes an actual problem on your store.

Our October 4, 2026 audit snapshot shows why those questions matter. The aggregate contains 58 latest, non-excluded scan records and reports 37% for duplicate descriptions and 19% for missing alt attributes. Those figures are averages of available stored check percentages. They do not mean that 37% of Shopify stores have duplicate descriptions or that 19% of all Shopify product images lack alt text.

This is a study of what our own scan evidence supports, including its limits. The useful outcome for a merchant is a better way to evaluate an SEO report before paying for changes or letting an app rewrite a catalog.

What the snapshot actually contains

The research query selects the latest scan timestamp for each host, removes records marked as excluded from the corpus, and averages four stored percentage fields. The October snapshot returns these rounded values:

The last two are operational checks, included here to make the measurement differences visible. Products, variants, and image elements are different counting units. Sorting these four percentages from highest to lowest would not produce a defensible SEO priority list.

There is another limitation. The logger extracts a percentage from a check's explanatory text. When that text contains no percentage, it stores a missing value rather than automatically storing zero. The averaging query skips missing values. The supplied aggregate does not include a contributing-record count for each metric, so 58 is the overall record count, not a verified denominator for every average. Each available record percentage receives equal weight: a larger scanned catalog does not contribute more simply because it contains more products. These averages cannot be converted into a total number of affected products.

In our own snapshot, a clean check without a percentage can be absent from the average; treating the reported 37% as an all-store prevalence rate would therefore be wrong. We cannot calculate the proportion of unaffected stores, a catalog-wide product rate, or a confidence interval from this summary.

These are stores submitted to a scanner, not a random sample of Shopify merchants. The snapshot generation date also does not mean every underlying store was scanned that day. We publish no store identities, and we make no claim that this sample represents a particular country, industry, or revenue band.

Finding one: “duplicate” depends on what the tool compares

Our current catalog check strips HTML from each product description, normalizes whitespace, takes its first 200 characters, and lowercases that text. It excludes comparison strings shorter than 60 characters. Products whose resulting opening text matches another product are counted in a group; the check's percentage uses the number of scanned products as its denominator.

That definition makes the 37% field useful as a prompt to inspect repeated openings. It does not establish that entire descriptions are identical. It does not compare supplier copy across the web, and it does not inspect Google's index. A match can be a shared introductory paragraph followed by genuinely different specifications.

Consider an illustrative ceramics catalog. Two vases might start with the same paragraph about the studio, then describe different dimensions, finishes, and uses. The scanner can flag the common opening. Your next step is to decide whether a shopper can distinguish the products, not to delete one of the pages.

Google's canonicalization documentation describes how duplicate or very similar URLs can be consolidated and how preferred URLs can be signaled. It does not prescribe our 200-character test. Treat that threshold as our screening rule, not a Google ranking rule.

Verify one group before authorizing bulk copy changes

Open two flagged product pages side by side. Read beyond the repeated opening. Identify the actual purchase differences: capacity, compatibility, material, dimensions, included accessories, or intended use. Then ask whether those differences appear clearly enough for someone choosing between the products.

My recommendation is to move the most useful product-specific information earlier where the introduction currently obscures it. Preserve accurate care instructions and specifications. Do not replace precise manufacturer safety or compatibility information merely to make a duplicate checker turn green.

For suspected indexing problems, use Search Console's URL Inspection tool to inspect the individual URLs and review the indexed information, including Google's selected canonical where available. A live test checks the current page; it does not prove that Google has already indexed your latest changes.

Keep the roles separate in your work request: the scanner identifies similar text, the merchant verifies product differences, and Search Console supplies evidence about Google's handling of the URL. None of those steps can substitute for the other two.

Finding two: an absent alt attribute is different from an empty one

The current image check examines image tags in the fetched storefront page HTML. It counts tags with no alt attribute. It deliberately does not count an existing empty attribute, alt="", as missing. The 19% field is consequently not a measurement of every product image in each store's media library.

That distinction has a practical purpose. The W3C guidance for decorative images explains when an empty text alternative is appropriate. Automatically filling every empty attribute can add unnecessary descriptions to decorative imagery.

Conversely, an attribute's presence does not establish that its wording is useful. A meaningful product photo with unhelpful text can pass a presence check. So can text that names the wrong color or repeats a keyword without explaining the image. A scanner flag and a full accessibility review answer different questions.

Check the image in its actual page context

For a product image that needs a description, Shopify documents the path as Products > select the product > select the image > Edit alt text > Save alt text. Its SEO field guidance recommends readable descriptions of what the image displays.

After saving, reopen the storefront page and inspect the relevant image element. Verify both that the attribute is present and that its text suits this placement. If the missing attribute belongs to a theme banner or app-generated image, editing an unrelated product image is not a fix; identify the component producing that element.

For bulk work, choose a small review batch containing a main product photo, a detail photo, and decorative imagery. Ask the proposed tool or editor to demonstrate the different treatment. Keep the original values so the team can reverse unsuitable changes. This is a proposed acceptance test, not a claim that every image app behaves the same way.

Finding three: catalog coverage changes the meaning of a score

Our current catalog fetch is capped at four pages of 250 products and can stop earlier when the time budget or a fetch failure limits it. Where the catalog is truncated, the report identifies the fetched products as a recent slice rather than the whole catalog. That slice is not randomly selected.

A merchant should therefore ask for the coverage statement before comparing scans. An audit covering newly imported products answers a different question from an audit covering an entire mature catalog. The aggregate available for this article does not retain enough coverage detail to calculate a pooled rate across all underlying products.

When commissioning your own review, record the scanned URL, scan date, number of products examined, declared catalog size if available, and any skipped checks. Save the example URLs as well as the headline score. On a later scan, check whether the same population was examined before describing a percentage change as an improvement.

This also explains why the 18% unavailable-product field cannot establish dead stock in the accounting sense. The current check observes whether a published product has any purchasable variant; it does not read historical sales. Similarly, a zero-weight observation cannot tell you what a customer was charged without examining the store's shipping setup.

Build a small toolkit around evidence you can verify

Shopify's SEO overview provides the starting point for native controls. Use those controls for straightforward edits. Use Search Console when the question concerns Google's index. Use a catalog scanner when you need a shortlist of products or page elements to investigate.

Our free Shopify store scanner supplies that initial shortlist. The findings above show why its evidence needs interpretation, just like another tool's report. It can help locate work; this snapshot does not establish ranking gains, lost revenue, or the effectiveness of any paid SEO app.

Before expanding the work, write an acceptance condition for each task:

For broader planning, our Shopify SEO guide covers the surrounding work. If the problem is how shoppers reach groups of products, use the separate collection-page structure guide; rewriting individual descriptions will not redesign that navigation.

Do not commission a catalog rewrite solely because another store's average looks better. Do not install a bulk editor if the verified changes are a handful your team can make accurately in the admin. Consider specialist help when repeated issues come from a supplier import, shared theme component, or ongoing publishing workflow.

That is where our Shopify development and catalog work can help: tracing a repeated finding to the process that produces it. The deliverable should be a change you can inspect and maintain. Ask for the example page, the counting rule, and the verification result before accepting a higher score as success.