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Ecommerce SEO agency for brands that sell on their own site

Online stores win search on category pages, product pages and clean data, and they lose it to duplicate URLs, thin descriptions and slow templates. We fix the base, build the pages shoppers search for, make your products easy for AI shopping answers to describe, and remove the friction between a product page and a paid order.

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An online store is a large, repetitive website. Hundreds or thousands of product pages generated from one template, category pages multiplied by filters and sorting, and a catalogue that changes every season. That scale is the opportunity, because every well-built category page is a page that can rank for years. It is also the problem, because every template flaw is repeated thousands of times.

This page sets out how we work with ecommerce brands, what it costs, and what we will not promise.

Who is this for?

Brands that sell on their own store and want organic search and AI answers to carry more of the revenue, rather than paid social and marketplaces carrying it all. Typical starting points:

A brand whose paid acquisition costs keep climbing, with organic search a small share of sales and no clear plan for making it bigger.

A store with a large catalogue where most pages are not indexed, or indexed many times over through filter and parameter URLs.

A brand that has just replatformed or is about to, and wants to protect the rankings it has.

A brand that sees competitors named in AI shopping answers and wants to know why it is not.

If you need a new store build, product photography or paid ads management, we are not the right first hire. We work on the store you have.

How do shoppers actually search?

In our research on ecommerce results pages, shopping searches fall into four groups.

Category searches. "Women's running shoes", "linen bedding", "standing desk". Broad, high volume, and usually won by category pages rather than products. The results page often includes shopping listings, images and, increasingly, an AI summary of what to look for.

Attribute searches. A category plus a material, size, colour, use or price: "waterproof hiking boots for wide feet". Specific and closer to purchase. These are where filtered category pages, done carefully, earn their place.

Product and model searches. A brand or model name. Won by the product page, the manufacturer, retailers and review sites.

Research and comparison searches. "Best", "vs", "is it worth it", "how to choose". Informational, and increasingly answered by AI features and editorial round-ups rather than by stores.

What do AI answers do for shopping searches?

Google's AI Overviews and AI Mode now answer many research searches with a summary of what to look for, sometimes alongside product listings. ChatGPT and Perplexity return product suggestions with short descriptions and links. In our observation, those suggestions draw on merchant and product feed data, review platforms and editorial "best of" articles, and they reward products whose details are consistent and specific: materials, dimensions, compatibility, price, availability.

That means the dull work matters. Clean product data, accurate schema markup for products, prices, availability and reviews, and product pages that state facts plainly, are what let an assistant describe your product correctly, or at all.

What does SEO look like for an ecommerce brand?

We start with the template problems, because they multiply.

Crawling and indexing. Filter, sort and parameter URLs can create many versions of the same category. We decide which filtered pages deserve to be indexed, because they match real searches, and keep the rest out with canonical tags, robots rules and internal linking. Out-of-stock and discontinued products get a clear policy rather than a pile of soft 404s.

Speed. Product and category templates carry heavy images, apps and scripts. We measure against the Core Web Vitals thresholds on real traffic and fix the template, so every page benefits at once.

Category pages. The pages that match how shoppers search, with a short, useful introduction, sensible filters, and links to the subcategories and guides around them. We build new categories where search demand exists and your catalogue can support them.

Product pages. Specific descriptions for the products that matter, complete specifications, genuine reviews marked up correctly, and structured data that matches what the page shows.

Links. Brand stories, product launches, original data and genuine collaborations. We do not buy links.

This is our ecommerce SEO work, with Shopify SEO and technical SEO where the platform needs it.

How does GEO work for an ecommerce brand?

Our GEO work for stores has four parts.

Product data. Complete, consistent product attributes across your site, your structured data and your merchant feeds, because that is what shopping answers are built from.

Reviews and mentions. Genuine reviews on your site and on the platforms assistants read, and a presence in the editorial round-ups that answer "best" questions in your category.

Answerable guides. Buying guides that answer the research questions directly, with comparison tables, linked to the right categories.

Measurement. A fixed set of shopping prompts per engine each month, such as "best" questions in your categories and your brand name, recording whether your products are named, linked and described accurately.

Where can a brand win against large retailers?

Not usually on the broadest category term. Marketplaces and large retailers hold those with enormous catalogues, years of links and strong brands, and a smaller store trying to take them head on spends a year with little to show.

The ground a brand can take is narrower and more valuable per visit. Attribute categories that match how your customers describe what they want, such as a material, a fit, a use or a problem solved. Collections built around your own point of view rather than a generic taxonomy. Buying guides written by people who know the product, which retailers rarely bother with. And your own brand and product names, which you should own outright but often do not, because resellers and marketplaces outrank the store that makes the product.

That last point is the most common quick win we find. If a search for your own product name leads to a marketplace listing before your store, you are paying a commission on a customer who was already looking for you.

What about launches and seasons?

Seasonal category pages should live all year on a stable URL, not be created and deleted each season, so they keep the authority they earned last time. Launch pages need to exist and be indexed before the launch, not the day of it. We build a simple calendar with you so the pages that matter in a peak are ready weeks ahead, and so a sale or a new collection does not create a crop of duplicate URLs that compete with the pages you already have.

Where does CRO fit?

In ecommerce, conversion work is often worth more than a new ranking, because it applies to every visit from every channel. The usual losses are slow product pages on mobile, unclear delivery costs and times, a size or variant picker that hides stock, weak product images, surprise costs at checkout, and forced account creation.

Our ecommerce CRO work maps the path from category page to paid order, finds where shoppers leave, and fixes or tests the causes. With enough traffic, changes run as proper A/B tests; on smaller stores, obvious fixes ship and are watched.

How do we report?

Weekly, in a portal, in plain language. For a store, the numbers that matter:

  • organic revenue, orders and conversion rate by landing page type, from GA4 and your store platform;
  • indexed pages versus pages that should be indexed, from Search Console;
  • rankings and click-through rate for the category pages in the plan;
  • monthly, how often assistants name or link your products for the tracked shopping prompts.

What happens in the first 90 days?

  1. Weeks 1 and 2: audit and plan

    A full crawl, indexing and duplication review, template speed on real data, product data and structured data checks, the path to checkout on a phone, and a first run of shopping prompts. A written plan you approve.

  2. Weeks 3 to 6: template fixes

    Indexing and canonical rules, speed fixes on product and category templates, structured data corrections, and the first checkout fixes.

  3. Weeks 5 to 12: categories and products

    New and improved category pages and priority product pages ship in weekly batches, alongside buying guides and outreach.

  4. Every week: report

    What moved, what moved it, what is next, with revenue data where you share it.

Ninety days usually shows gains from template and conversion fixes and the first category pages climbing. Broad category terms against large retailers take longer, and we will say which ones before you sign.

What does it cost?

Flat monthly retainers that start at 1,750, 3,350 and 6,700 US dollars a month. A store fixing its base usually fits the first; a brand building categories, running conversion tests and earning links together usually needs the second; large catalogues or several markets usually need the third. Details are on the pricing page. Plans run month to month.

What will we not do?

Promise a revenue figure, a ranking or a placement in an AI answer. Generate thousands of thin product descriptions. Buy links or reviews. Hide costs in a checkout to raise a conversion rate. Anything that raises one number by damaging trust costs more than it earns.

What do we need from you?

Someone who can approve changes within a week, access to the store, analytics, Search Console and your merchant feed, a developer or platform partner for template changes, and your product knowledge. The last one matters more than it sounds: the details that make a product page specific, what it is made of, who it suits, how it compares with the previous version, are things only your team knows, and they are exactly what shoppers and assistants look for. Definitions of the terms used here are in the glossary.

أسئلة تتكرر علينا

  • Which platforms do you work on?

    Shopify, WooCommerce, Magento, BigCommerce and headless builds, among others. Each has its own habits: duplicate collection URLs on Shopify, layered navigation on Magento, rendering on headless. We fix the platform you have rather than asking you to migrate.

  • What matters more, category pages or product pages?

    Usually category pages, because they match the broader searches shoppers make and they can rank for years. Product pages matter for specific, model-level searches and for shopping results. A good plan does both, starting where the money is.

  • Can you get our products into ChatGPT shopping answers?

    We can make it more likely and measure it. Shopping answers draw on product feeds, merchant listings, reviews and editorial round-ups. We clean up your product data and structured data, and work on the sources assistants quote. No one can guarantee a placement.

  • How long until we see more sales from SEO?

    Technical and conversion fixes can show within weeks. New category pages usually take three to six months to rank, depending on competition. We set leading indicators up front so progress is visible before revenue moves.

  • Do you write product descriptions?

    For the products that matter most, yes, from your specifications and your team's knowledge. We do not generate thousands of thin descriptions. Where you have a large catalogue, we set templates and priorities so the effort goes where the revenue is.

  • What happens to SEO in a replatform?

    It is one of the riskiest moments for an online store. We map every old URL to its new home, check redirects, templates and structured data before launch, and watch indexing closely afterwards.

  • Do you manage marketplaces too?

    No. We work on your own store's organic search, AI visibility and conversion. We are happy to plan around marketplace sales so the two do not compete for the same searches.

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