Which Ecommerce SEO Job To Do First (And What Can Wait)

You have done some of the work already. Titles rewritten, an app installed, a handful of posts published. Traffic has barely moved, and you cannot tell whether next month should go on product pages, filters or the blog.

That uncertainty is the real problem, because an ecommerce SEO strategy is a sequence. Seven jobs done in one order will pay; those same seven done in another will not, since each one decides whether the next is worth doing.

I'm John Butterworth. I've spent 11+ years in SEO and driven 3M+ organic sessions, most of it for online stores, and I've spoken at SEO Mastery Summit. The pattern I keep meeting in a stalled account is never a missing tactic. It is a store working on step six while step two is still broken.

What follows is my sequence, why each job sits where it does, and a way to place your own store on it. If you want the definition first, what ecommerce SEO covers is a separate read.

The Order I Work In, And Why Product Data Moved Up It

The seven steps in order

Here is the whole sequence before any detail.

1. Map demand to the page type that can answer it.
2. Fix your product data.
3. Decide what Google is allowed to crawl.
4. Write collection and product pages for the search behind them.
5. Clear the technical faults that block ranking outright.
6. Build supporting content that feeds those pages.
7. Earn the links that multiply what your pages already deserve.

Record where you are starting from before step one. I cover that at the end, because it is the step people skip and then regret.

Those steps map onto the eight specialisms an online store needs, all run against a single revenue goal.

That ordering tracks who has been gaining. In Amsive's reading of the March 2026 core update the biggest risers included IMDB: +79.3, Amazon: +59.8, Apple: +28.4, and the common thread running through all three is ownership. Each of those sites holds the canonical record of the thing a searcher went looking for.

Seen that way, your ecommerce SEO strategy is really a decision about how to spend limited time across those seven steps.

Why this order and not another

Ordering here is not a preference. Each step decides whether the next one can pay.

Product data sits second, earlier than it usually gets done, and that position comes from a measurable shift in what Google rewards.

Lily Ray, Vice President, SEO and AI Search at Amsive, studied the March 2026 core update with 2,076 unique domains classified using Google Product Taxonomy via the DataForSEO API. Her finding was that Google 'appears to be dialing back the visibility of platforms that aggregate, host, or syndicate other people's content'.

When she sums up the divide, the framing is blunter still. The top of the winner list is almost entirely 'the company that owns the thing'. The top of the loser list is almost entirely 'the platform people use to talk about the thing'.

Read that as a store owner and it lands quickly. You sell the thing, so signals identifying you as the one who sells it stop being a late technical tidy-up and become the qualification.

That same reasoning puts links last. A link raises how far a page can reach. Point one at a page that does not yet answer its search, and you have bought a better position for a page that still will not convert.

Match Demand To The Page That Should Answer It

Sort demand by the page type that can satisfy it

Start by sorting the searches you care about into three piles: ones a collection page can satisfy, ones a product page can satisfy, and ones needing an article.

Your test is what a searcher expects to see when the page loads. A broad commercial phrase implies options laid out side by side, while a model number implies that one product. A typed question implies prose.

Getting this wrong is the most common waste I see. A store spends months pushing a product page at a category-level search, and loses to a rival's collection page every time.

That loss is about shape, because effort was never the missing part.

Google's ecommerce site structure guidance recommends linking menus to category pages, then on to sub-category and product pages. That is the same instinct expressed as structure.

Our keyword strategy discipline finds the searches that map to products and buyer intent, and we run that sort before touching a page. The guide to mapping searches onto store pages walks through it in more detail.

One primary search per page

Give each page a single primary search to own.

An ecommerce SEO strategy lives or dies on that discipline, because two pages chasing the same phrase end up splitting everything between them. Internal links divide, external links divide, and click history divides too.

Neither page accumulates enough of any signal to win, so merging beats building a third.

Google frames that same merge as a crawling decision, and its own instruction is blunt.

Consolidate duplicate content to focus crawling on unique content rather than unique URLs. Block crawling of URLs for differently sorted versions of the same page.

Consolidation therefore pays twice. One page inherits the signals both were splitting, and the crawler stops visiting the copy that could never win.

Your Product Data Is Doing More Work Than Your Copy

The fields that decide whether you appear

Without those named fields, nothing tells a crawler this page is a product. It reads as prose that happens to contain a number.

Legibility means specific named properties, and Google names them. Its merchant listing structured data reference describes the category property in these terms: "Specifies the product's categories. This property can accept an array of values, mixing plain text strings and CategoryCode objects." Your own naming and Google's taxonomy can sit in the same markup.

Sale windows have a documented shape too. To specify the period when a sale price is active, Google asks for validFrom alongside either validThrough or priceValidUntil, so a discount can be declared where it reads it.

Google revised that reference on 7th July 2026, recently enough that most stores have not looked since. Luis Rijo, who tracks Google's merchant documentation for PPC Land, reported the change. Google updated Product structured data guidelines to allow merchants to specify both custom product categories and Google's taxonomy within the same schema.org markup.

That same pattern repeats with variants. Google's product variant documentation defines ProductGroup as the wrapper for a product that comes in several variants, with each variant declared as a Product carrying its own identifiers.

A size run sharing one identifier competes with itself.

Why the product grid sits above the blue links

One reason governs the ordering. What sits above the classic blue links on a shopping search is built from exactly this data.

Kevin Indig spent a decade as an operator and leader at Shopify and G2. He measured 4K+ keywords and 40K product grids for his Growth Memo newsletter, which is a wide enough sample to describe the shape of the result page.

Across that product-grid study, 96% of SERPs showed product grids above the blue links. Rank as well as you like and you can still be absent from the first block a shopper's eye lands on. Product data cannot wait until step seven.

What we found on live storefronts

I wanted to know whether stores have done this, so we went and looked.

On 3rd August 2026 we checked 35 UK and direct-to-consumer storefronts, picked from published lists of well-known Shopify and D2C brands. Seventeen ran Shopify, so we fetched one product page from each of those and parsed its Product structured data. Fifteen returned readable markup, and those 15 are the basis for every figure below.

Of those 15, fourteen carried a price and a stock status, while only 8 also carried both a brand and a SKU or GTIN. The commercial fields are near-universal and the identifying fields are a coin flip.

Defaults explain that pattern. Price and availability arrive with the theme, whereas brand and product identifiers have to be mapped deliberately. Fields needing a decision are the fields most often missing.

Size offers no protection from it either. Two of the seventeen Shopify storefronts published no Product structured data at all on the page we read, and a third carried markup with neither price nor availability.

Those three are invisible to the merchant surfaces on that product no matter how well the page itself ranks, which is the whole reason this step sits second.

Three storefronts you can open yourself

These three are worth opening, because each one shows a different set of choices.

Start with Cambridge Satchel: Its product page serves Product structured data carrying a price and a stock status alongside a brand and a SKU. An aggregate rating sits there too, which is the full set a merchant listing can use.

That is what complete looks like, and in our sample it was the exception.

Compare that with Ooni: Its product page carries Product, ProductGroup, Brand and Offer markup with a price and availability. No SKU or GTIN appears on the product node we read.

The price is legible to Google there while the identity is not, and close to half the storefronts we read had that same shape.

Then Condor Cycles: Price, availability and brand are all declared. There is no SKU or GTIN.

On a deep catalogue those identifiers are what stop near-identical products blurring together, so that sock is harder to tell apart from every other sock in its class.

Your own store takes ten minutes to check against that. Open a product page, view source, and search for the Product block. Absent brand and identifier fields mean you have found your step two.

The feed rules that moved in 2026

Feed requirements moved during 2026, so a specification that passed last year is not necessarily passing now. Google's product data specification update sets the dated deadlines that did it.

Starting June 30, 2026 videos submitted via the video link attribute became eligible to serve. Google switched on policy and quality warnings for them at the same moment, which put the reporting live ahead of the thing it reports.

Image quality moved too. Google is increasing the minimum resolution for images submitted in the image link and additional image link attributes to 500×500 pixels across all product categories.

For most stores that is a re-export, and it hits older products first because the oldest images are the smallest.

Warnings surface long before enforcement does. A feed nobody has opened since last year is the cheapest item on this list to check.

What Google Crawls Is A Decision You Make

Filters and variants

Every filter combination on your store is a URL. You decide whether Google spends its time on those URLs, and the platform will happily generate them all day if you let it.

So it becomes a budget question, and a filter system can invent thousands of URLs overnight. Google's own definition is plain enough, "the set of URLs that Google can and wants to crawl". Its advice for large catalogues is to consolidate duplicates, so crawling lands on unique content instead of unique URLs.

Split your filters in two. The ones matching real demand, a brand or a size people do search for, earn an indexable page. The rest stay usable for shoppers and shut to crawlers.

Depth and pagination

A product buried deep in a paginated listing is the one Google reaches least often, because crawling is finite and every extra level of depth costs something.

Items far down a set are last to be re-read, and last to reflect any change you make.

Depth is something you control through templates. Google's ecommerce documentation sets out how to handle pagination on category pages so that products deeper in a listing remain discoverable.

That bites hardest where a catalogue runs to forty pages.

Its pagination guidance asks for one URL per page in the series with sequential links, and warns off pointing every canonical back at page one. Do that and the deeper pages stop being separately addressable.

That is where a long catalogue keeps most of its products.

Shortening the path from your homepage to your best products is worth more than another blog post. Most of that depth gets decided by the template decisions behind the path, which is a separate job.

Give Collection And Product Pages Separate Jobs

What a collection page has to say

A collection page has to say something its grid of products cannot say alone.

That grid tells a shopper what you sell. It does not tell them how to choose, which is the comparison their search implied.

Reusing the manufacturer's description across every page wastes that chance, and on most catalogues it is the default.

So a collection page needs the buying advice a good salesperson would give.

Write it in your own words. This is the highest-value copy on an ecommerce site and usually the emptiest.

It is nobody's job by default. The product team owns products and the brand team owns the homepage, so the collection page sits between them with a template and no author.

We treat collection copy as a discipline of its own. The copywriting formulas we use there work the same way they do on a landing page.

What a product page has to prove

A product page has to prove the specific thing a shopper is checking before they commit.

Review data was the rarest field in our sample: 3 of the 15 readable storefronts exposed an aggregate rating in their product markup. Ratings render in the surfaces where shoppers compare options, so a product showing none there competes against products that do.

Frustratingly, those reviews are usually already on the page. Over at Neom Organics the pattern inverts, with an aggregate rating exposed and identifiers omitted, which shows these fields get picked one at a time.

That is the cheap version of this problem. The reviews already sit on the page; what is missing is the mapping into markup. That is an afternoon's work.

The Technical Faults That Stop A Page Ranking At All

Blocking faults first

Plenty of stores stall at this step. Split the faults into ones that stop a page ranking outright and ones that only shave margins, then clear the first pile before you touch the second.

A page that cannot be crawled or rendered has no ranking to improve. A page that loads slowly has a ranking that can be improved. Those two things do not belong in the same queue, yet they usually arrive as one list sorted by count.

With those cleared, speed earns attention. Google's web.dev reference states that LCP should occur within 2.5 seconds of when the page first starts loading. Pages should have an INP of 200 milliseconds or less, and should maintain a CLS of 0.1 or less.

It also specifies that the measure is "the 75th percentile of page loads, segmented across mobile and desktop devices". A fast result on your own phone therefore proves very little.

We sequence these the same way on client accounts. Running the DIY audit will find most of them yourself.

Where Content And Links Belong In The Order

Content that feeds the money pages

Supporting content is worth writing when it feeds the pages that sell.

Google's helpful content guidance asks whether a page provides original information, reporting, research or analysis. It also asks whether that page offers substantial value compared with others in search results.

Answering those two honestly is a better brief than any publishing cadence, because both are questions about one specific article.

Applied to a store, that means content answering the questions preceding a purchase. It gives you somewhere to link from, and a reason for the link to exist.

A blog nobody links onward from is a cost centre however well it reads, because the traffic it earns has nowhere commercial to go. Our content funnel approach picks the collection page first and works back to the questions that lead there.

Links last, and why

Authority work belongs late because it multiplies whatever your pages already deserve.

It carries a category risk the earlier steps do not. Google's spam policies, last updated on 15th May 2026, define link spam as "the practice of creating links to or from a site primarily for the purpose of manipulating search rankings".

Notice that the definition turns on intent. Buying links is therefore a different kind of decision from the other six steps, and that same document now reaches "attempting to manipulate generative AI responses in Google Search".

Earned properly, though, links are the strongest step on this list. Amsive's visibility data after the March 2026 update put the losses on platforms, while brands with their own product pages held up, with YouTube down 566.97 points and Reddit down 64.24.

Earned-link work runs at this stage of an account for us, never at the start of one.

How To Tell Whether Any Of It Worked

Set the baseline before you start

On day one of an account I export the ranking set and screenshot Search Console, before anyone touches a title tag. An ecommerce SEO strategy that cannot show its starting point cannot prove anything later.

Two of this year's rollouts each ran the better part of a fortnight, and Google publishes those dates on its Search Status Dashboard. A reporting window that overlaps one cannot separate what you did from what Google did.

On the accounts we manage we track rankings from day one, logging the date of every change beside them. Without that dated starting point, the honest answer about whether the work paid is that you cannot tell.

Why rankings alone mislead now

Two stores can hold the same position and take very different traffic from it. That difference is measurable.

Seer Interactive has done exactly that. Its 2026 click-through study, compiled by Product Development Lead Tracy McDonald, covers 53 brands and 5.47 million tracked queries.

That is a wide enough base to read as signal, and what it shows is that the ranking has stopped being the variable doing the work.

Where an AI Overview appeared, its cited-versus-uncited split put brands quoted inside the answer at 2.07% organic click-through, against 0.94% for those left out. Roughly double the clicks for the same position, decided by whether the answer above quoted you.

That is the number I would put in front of anyone whose reporting still stops at position, because it says the position and the visit have come apart as measurements.

On our own accounts that changed the shape of the report. We lead with what arrived and what it earned, and position sits underneath as a diagnostic. Which metrics are worth watching comes down to the ones ending in revenue.

From there the thread continues into conversion sequencing, a separate discipline with an order of its own.

Where Mint SEO Fits Into This Sequence

My sequence above is the general case, and which steps suit your store depends on what is already done. That is what the free 30-minute consultation with me is for, covering the store's current rankings, its biggest quick wins and a rough 90-day direction.

You talk to me directly, and half an hour is deliberately short. I run Mint SEO from Manchester, and most of the stores we work with sell on Shopify, wherever in the world they trade.

The disciplines we run answer to one revenue number rather than eight separate reports. That is why the call can be short. I am looking for the one step where your sequence stalled.

What you get out of the call is this sequence applied to your store, with the steps you have already done crossed off it. If you would rather take the first three yourself, the ecommerce SEO checklist covers them.

Book your free consultation and we will set the ecommerce SEO strategy for your store.

Ecommerce SEO Strategy Questions We Get Asked

How long before an ecommerce SEO strategy shows results

Product data changes can surface within weeks, because they change how an existing page is understood, without asking Google to reassess the whole site.

Content and authority work runs on a longer clock. Two core updates have already rolled out this year, each taking the better part of a fortnight to settle, so a four-week read of your own work is competing with Google's. A realistic first review point is around 90 days.

Do I need to fix everything before I start

No. An ecommerce SEO strategy exists precisely so that you do not have to.

One step does carry a threshold effect worth knowing about.

That threshold is set out in Google's Product structured data documentation, which states that product markup makes a page eligible for rich results including price, availability and review ratings. You are either eligible or you are not.

Otherwise work down the list, and stop when the return on the next step drops below the effort it takes.

Should I write blog content or fix product pages first

Fix your product pages. The short argument sits in Growth Memo's measurement, where 96% of SERPs show product grids above the blue links, so product data builds the page a shopper meets first.

Content pays off once a commercial page is worth sending readers to. That is why it sits at step six.

Is it worth doing this myself

Your first three steps are doable in-house given the time, and checking your own product markup costs nothing.

Later steps are where an outside pair of eyes usually pays for itself, because they need judgement about what to leave alone.

That judgement is mostly pattern recognition. In an r/SEO thread, u/turnipsnbeets described their own habit:

it's REALLY helpful to look at a project's rankings when it first starts ranking

Watching a page step down like that beats checking it once a month, and it is how you tell a working step from a lucky week.