D2C SEO, measured on 43 brands

D2C SEO is search optimization for a direct-to-consumer brand’s own store. The eleven pages ranking on Google for “d2c seo” and “seo for d2c brands” in September 2026 are advice and service pages, and nine of them are written by SEO agencies. The search’s own related queries ask for “d2c seo examples”, and none of the eleven measures what real D2C stores actually ship. None cites Google’s ecommerce documentation either. So on 27 September 2026 we checked 60 well-known D2C brands against it: their homepages, and one product page each. This page covers what Google says ecommerce SEO is, what the store platform already does, what the brands leave out, the one piece of advice on that results page that stopped working in May, and whether SEO is still worth it.

What Google says ecommerce SEO is

Google’s own account of ecommerce SEO is a set of eight guides under Best practices for ecommerce sites in Google Search: where ecommerce content can appear on Google, sharing product data with Google, structured data relevant to ecommerce, launching a new ecommerce site, writing high-quality reviews, URL structure, site structure, and pagination.

Two of the eight are about data rather than pages. The first covers two ways to share product data with Google, structured data on product pages and a feed uploaded to Google Merchant Center, and notes that “Participation in Google Merchant Center is required to appear in the Google Shopping tab.” The second lists the structured data types that matter for ecommerce: BreadcrumbList, LocalBusiness, Organization, Product and ProductGroup, Review, and VideoObject.

None of the eleven pages ranking for “d2c seo” or “seo for d2c brands” mentions Merchant Center or cites any of Google’s ecommerce guides. Their advice is keyword research, site speed, content and links, which is sound as far as it goes. What it leaves out is the structured product data Google documents in detail, and the split between the part a store platform writes for a brand and the part the brand has to add itself.

What we measured, and how

The sample is the 60 direct-to-consumer brands from our study of AI crawler rules: recognisable, mostly large companies such as Allbirds, Warby Parker, Glossier and Dr. Squatch. On 27 September 2026, 43 of their homepages answered; 31 run on Shopify and 12 on other platforms. The other 17 refused our declared bot, did not answer, or served a challenge page.

Each homepage went through the same checks as our free audit tool. Then we found one product page per store from the store’s own sitemap, or failing that a link on its homepage, and read its structured data for the properties Google lists for merchant listings, required and recommended. We found 35 product pages, 31 of them on Shopify. Product pages were identified by their URL, so stores whose product URLs carry no “/products/” or “/product/” path were recorded as not found rather than guessed at.

Everything was read from the delivered HTML, the way AI retrieval crawlers read a page. We also checked for structured data written only by JavaScript, which Google would see and most AI crawlers would not, and found none.

What the store platform already does

The product markup Google requires for a merchant listing is almost universal among these brands. Google’s merchant listing documentation marks three Product properties as required, name, image and offers, and two Offer properties, price and priceCurrency.

All 35 product pages we read carried structured data in their HTML, 32 carried a Product or ProductGroup node, and 30 carried every required property. On Shopify it was 29 of 31. The consistency has a source: Shopify gives themes a filter, structured_data, that converts a product record into schema.org markup, and Shopify’s developer documentation says “Product objects are output as a schema.org Product if they have no variants, and a ProductGroup if they have one or more variants.” Shopify’s help centre describes the same record going out to AI channels, with a product’s “title, description, options, images, price, availability, and other key attributes”, the other half of the story, covered in GEO for ecommerce.

Of the five pages that fell short, three carried no Product node at all, one carried its product data in a block of invalid JSON that a parser cannot read, and one had a Product with no offer. For a D2C brand on a mainstream platform, the required layer of product SEO is mostly already written. The question is what sits on top of it.

What D2C brands leave out

Google’s merchant listing documentation recommends a longer list of properties than it requires, and the recommended ones are where the stores we checked fall away. These are the ones a brand controls, on the 35 product pages.

Shipping details and return policy, the shippingDetails and hasMerchantReturnPolicy properties, are the clearest gap. Google’s product documentation names both as information merchant listings can show, and recommends a return policy “nested under Organization markup” as well. Three product pages carried both, Boll & Branch, Dr. Squatch and Outdoor Voices, and two homepages carried a return policy at the Organization level, Spanx and Warby Parker. On the other 32 product pages, that information is not in the markup.

GTINs, the barcode numbers that identify a product across retailers, appeared on 14. Individual review markup appeared on 6, and an aggregate rating on 19. Google’s review snippet documentation supports Product reviews, and supports reviews of a business or organization only on sites that review other businesses.

The advice that expired in May: FAQ rich results

Google stopped showing FAQ rich results in 2026. Its documentation changelog records two entries. The first added a deprecation notice: “This feature will no longer appear in Google Search starting May 7, 2026.” The second removed the documentation, because “The FAQ rich result feature is no longer shown in Google Search results”. The old documentation address now redirects to that changelog entry.

The “d2c seo” results page has not caught up. Google’s AI Overview for “d2c seo” tells brands to “Use Product, Review, and FAQ schema markup to help your listings stand out with rich snippets in search results”. The overview for “seo for d2c brands” says the same. Two of the ranking pages repeat it, including the guide the first overview recommends by name, which says FAQ schema helps “win richer results”.

On the 35 product pages we checked, eight still carried FAQPage markup. The markup is valid and does no harm, and Google’s list of ecommerce structured data does not include it. What no longer holds is the reason every guide gives for adding it.

What Google says not to worry about

Google’s SEO Starter Guide has a section titled Things we believe you shouldn’t focus on, and several of its entries answer checklists on the “d2c seo” results page directly.

• Headings. “Having your headings in semantic order is fantastic for screen readers, but from Google Search perspective, it doesn’t matter if you’re using them out of order.” Only 22 of the 43 homepages we checked had exactly one H1, and by Google’s account that costs them nothing in Search.
• Word counts. “The length of the content alone doesn’t matter for ranking purposes.” One ranking guide tells brands to “aim for 300-500 words minimum” on product and category descriptions.
• Duplicate content. Content under several URLs “is fine; don’t fret about it. It’s inefficient, but it’s not something that will cause a manual action.” Two ranking pages warn that duplicate content hurts rankings or dilutes relevance. Canonical tags for colour variants and filters, which several guides recommend, remain good practice.
• E-E-A-T. Asked whether it is a ranking factor, the guide answers “No, it’s not.”

Is SEO still worth it for a D2C brand in 2026?

“Is SEO still worth it in 2026?” appears in the People Also Ask box on both “d2c seo” searches, next to “Is SEO dead now with AI?”. Google has answered it in its own guide to generative AI features: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”

The same guide gives stores one ecommerce-specific instruction. Merchant Center feeds and Business Profiles “can help your products and services to be visible in both AI responses and other Google Search results”. None of the eleven pages ranking for “d2c seo” or “seo for d2c brands” mentions Merchant Center.

For a D2C brand the practical answer is that Google Search, Google’s AI features and AI shopping channels all draw on structured product data: from the product page, from a Merchant Center feed, or from the catalog a platform like Shopify sends out. SEO for a store is increasingly the work of keeping that product data complete.

What to do, in order

1. Set up Merchant Center and keep the feed current. Google names it for AI responses and search alike, and it is free.
2. Add shipping details and a return policy to product structured data, and a return policy to the Organization markup. Three of the 35 product pages we checked carried both.
3. Add GTINs where products have them. Fourteen of the 35 did.
4. Check that the structured data parses. One product page in our sample carried its product data in invalid JSON, which drops it for any parser. Paste a product URL into Google’s Rich Results Test to check.
5. Mark up genuine product reviews, within Google’s rule against self-serving reviews. Gifted-product reviews carry a separate link rule, covered in our off-page SEO guide.
6. Stop expecting a rich result from FAQ markup. Keep it if the questions help shoppers; the snippet is gone.
7. Skip the checklist items Google says not to focus on: exact heading counts, word-count targets and duplicate-content fear.
8. Check the rest with the free audit, which runs the homepage checks in this study on one store.

What this does not show

• Not an effect on rankings. We measured whether markup is present. Google says the properties make a page eligible for merchant listings, and eligibility is not display.
• Not all D2C stores. The 43 brands are a named set of recognisable, mostly large companies, not a random draw. This supports “of these stores” and not a share of all D2C brands.
• Not a whole catalogue. One product page per store, the first its sitemap lists.
• Not the 17 stores that did not answer, or stores whose product URLs carry no “/products/” path.
• Not what the ranking pages’ own figures rest on. Several quote unsourced numbers. The page-speed statistic three of them repeat is credited to Google, and the Think with Google page it is usually traced to now redirects elsewhere, so it is not used here.
• Not a single reading of each page. Stores serve slightly different HTML from one request to the next; the invalid JSON on one product page was in the copy we were served and absent from another fetched minutes later.

Why we wrote it

The results page for “d2c seo” asks for examples and gets advice. Eleven pages tell a D2C brand what to do; none shows what the brands a founder has heard of actually do, none cites Google’s ecommerce documentation, and both AI Overviews repeat a rich-result tip that expired in May. Measured, the finding is simple: the platform writes the product markup Google requires, and the part that makes a listing competitive, shipping, returns, barcodes and reviews, is the brand’s to add. Most of the brands we checked have not added it yet. Three already carry shipping details and a return policy on their product pages, Boll & Branch, Dr. Squatch and Outdoor Voices, and Dr. Squatch’s page carries every property this study looked for.