The problem with a store specifically
A store is built to sell rather than to explain, and the material that would answer a buyer's question well is usually either absent, generic, or hidden behind interface. That is a design consequence rather than a failure, and it is why ecommerce sites are frequently absent from answers about their own products.
Think about what a person actually asks. Which of these is better for a beginner. Will this fit through a standard doorway. How long does it last if used daily. What is the difference between these two finishes. Those are reasoning questions, and a product page built around a photograph, a price and a buy button does not contain the reasoning.
What a store does have in abundance is structured data. Prices, variants, availability, specifications. That is genuinely useful and it is narrow. It answers what a thing is and it does not answer whether it is right for somebody, which is the question people actually put to an assistant, and the gap between those two is where almost every store loses.
So the work on a store is different in emphasis from the work on any other kind of site. Less about restructuring what exists and more about the material not existing at all.
A store's gap is usually reasoning rather than data. The comparison you make in a support conversation ten times a week is the thing that is missing from the site.
The theme habit that hides your best material
The single most common technical problem on a store is that its most useful text is behind interface, and this is a theme decision made for entirely good reasons.
Designers are asked to keep product pages tidy, so specifications go in a tab, delivery and returns go in an accordion, sizing goes in a modal, and reviews load separately when the shopper scrolls. Every one of those choices makes the page cleaner and every one makes that material harder to reach reliably.
The test costs nothing. Fetch a product page as a plain document rather than opening it in a browser and read what comes back. Anything you cannot find in that text may not be available to whatever is collecting it, and on a lot of stores that includes the sizing guidance, the care instructions and every review.
The resolution is not to abandon the interface. Keep a plain-prose summary of the important material in the page body and let the tabs hold the detail. A short paragraph stating what the product is for, who it suits and its main limitation does more for this than any structured markup, and it helps a shopper too.
What is actually missing, and what to write
The material that gets used in answers is the material your support team produces verbally every day and nobody has ever written down.
Comparisons between your own products. Which of these two is right for which person, stated plainly with a real trade-off. This is the single most requested thing from buyers and the thing stores are most reluctant to publish, because it involves saying one product is not right for somebody.
Fit and suitability. Who this is for and, more usefully, who it is not for. A page that names an unsuitable case is far more quotable than one that claims universal suitability, because it contains information rather than enthusiasm.
Longevity and practical experience. How it behaves after a year, what wears first, what maintenance it needs. Almost nobody publishes this and it is exactly the kind of specific claim that gets reached for.
The questions in your support inbox. Read the last hundred tickets. The recurring questions are a list of pages you have not written, phrased in the exact language buyers use. That is the cheapest content brief available to any store and it costs an afternoon.
What to do about product descriptions
Most product descriptions are unusable as material and the reason is structural rather than a matter of quality.
They tend to be either manufacturer copy repeated across every store that sells the item, or brand-voice writing that conveys mood rather than fact. The first is interchangeable so there is no reason to reach for your version. The second contains nothing specific enough to answer a question.
The fix is a plain paragraph near the top of the description that states what the product is, who it suits and its main practical limitation, in ordinary words. Keep the brand-voice writing underneath it if it is doing work. You are adding a liftable statement rather than replacing your tone, which is usually enough to get the change past whoever owns the brand guidelines.
Where you use supplied manufacturer copy, adding two or three sentences of your own experience is enough to make the page yours rather than a duplicate. That is a small amount of writing per product and it is the difference between having a reason to be reached for and not. Start with your twenty best sellers rather than the whole catalog, since the effort is linear and the return is not.
Where structured data helps, and where it stops
Stores tend to be strong here and it is worth understanding what that strength does and does not buy.
Accurate structured product data helps a system understand what a page is about, which supports being retrieved for questions about that product. It is worth keeping correct and it is largely handled by the platform.
What it does not do is answer reasoning questions. There is no field for which of these suits a beginner, and no markup that makes an interchangeable description worth quoting. Structured data is a support for substance rather than a substitute, and stores routinely over-invest here because it is the part that feels technical and measurable.
The honest summary is that a store with perfect structured data and no reasoning content will be well understood and rarely used, while a store with adequate data and genuine comparisons will be reached for constantly.
The access check, which stores fail often
Stores fail the access check more often than most sites, and for a specific reason worth knowing.
Ecommerce sites attract scrapers, so they tend to have aggressive bot management, and the rules are frequently set by somebody protecting pricing rather than thinking about answer crawlers. A rule written to stop competitors harvesting prices will happily refuse the clients that feed AI answers, and nobody is told.
Check the rules on the site and at the edge, and list which named clients are permitted. This is an afternoon and it explains a large share of stores that are entirely absent. Our page on why a brand is not in ChatGPT works through the causes in order.
Apps are worth checking too. A store accumulates them over years and any of them can introduce a rule or a script dependency that nobody remembers installing. Reviewing the installed list once a year with this specifically in mind is an hour that occasionally saves a quarter, and nobody ever does it because apps are added by whoever needed them and removed by nobody.
The two page types stores under-use
Two kinds of page do disproportionate work for a store here, and most catalogs have neither.
A real buying guide for a category. Not a list of your products with a paragraph on top, which is what most stores publish under that name. A genuine guide explains how to choose, names the trade-offs, and is useful to somebody who then buys elsewhere. That last property is what makes it quotable, and it is the reason most stores will not write one.
A comparison between two of your own products. Directly, by name, with an honest recommendation for each type of buyer. This is the page your support team writes in an email ten times a week and nobody has ever put on the site. It is also the page most likely to be reached for, because the question it answers is exactly the question people put to an assistant.
Both of these sit awkwardly with a merchandising instinct that wants every page to push toward a purchase. The compensation is that they reduce returns and support load, because a buyer who chose correctly complains less, and that saving is real even if it is harder to see than a conversion rate.
Start with one guide for your largest category and one comparison for your two closest products. Two pages is enough to find out whether this works for your catalog before committing to a program, and the answer will arrive within a few weeks on any engine that shows its sources.
The honest trade-off
The work this asks of a store is genuinely uncomfortable, and it is worth naming rather than presenting it as free.
Publishing honest comparisons between your own products means telling some visitors that the cheaper item is right for them. Naming who a product is not for means turning away a sale you might otherwise have made. Both of those are real costs and both are exactly what makes the page worth quoting.
The compensation is that the same honesty tends to reduce returns and support load, so the cost is smaller in practice than it looks on paper. But a merchant who is not willing to say anything unflattering about their own catalog will not produce material that gets used, and no amount of technical work compensates for that.
There is a second cost worth naming, which is that this work does not look like merchandising and will be judged by people who measure merchandising. A buying guide that sends somebody to a competitor has no conversion rate to defend it. The argument that holds is that the alternative is not appearing at all in a conversation your buyers are already having, and that absence has no conversion rate either.
Reviews, and why they usually do not count
Stores tend to assume their reviews are working for them here, and on most stores they are not, for a mechanical reason nobody mentions.
Reviews are very often loaded separately after the page arrives, because that is how review apps are built and because it keeps the initial page fast. Text that appears only after a script runs may never reach whatever is collecting the page, which means the single largest body of specific, experiential language on your entire site is invisible.
The test is the same one as everywhere. Fetch a product page as a plain document and look for a review. If none are there, that material is not doing the work you assume it is.
Where the platform or the app can render reviews into the page itself rather than fetching them afterwards, that is worth doing and it is frequently a setting rather than a project. Where it cannot, pulling two or three representative quotes into the page body as plain text captures most of the value for very little effort.
This matters more than it sounds because review language is exactly the phrasing buyers use when they ask questions. It is the closest thing on your site to the words a person would type, and it is commonly the part that is technically hardest to reach. It is also free material you already own, which makes leaving it unreachable an unusually poor trade.
Bottom line
Check access first, because stores fail this more often than most sites and the cause is usually a rule written to stop price scrapers that never considered answer crawlers.
Then get your best material out from behind interface. Keep a plain-prose summary in the page body and let the tabs hold the detail. Fetch a product page as a plain document and read what actually comes back before assuming this is fine.
Then write the reasoning that only exists in your support inbox. Comparisons between your own products, who each is not for, and how things behave after a year. That is the material that gets reached for, and no structured data substitutes for it.
Start with two pages rather than a program. One genuine buying guide for your largest category and one honest comparison between your two closest products. That is enough to find out whether this works for your catalog, and it costs a week rather than a quarter.