Ecommerce SEO for Shopify, WooCommerce & BigCommerce
Turn your product catalog into a compounding sales channel.
We fix the technical sprawl, build collection pages around real demand, improve your product and Shopping data, and make your store easier for Google and AI platforms to understand. From $999/mo, no setup fees, no contracts.
AI recommendation visibilityNot tracked - status: Missing
Illustrative sample data - not a scan of your store
We work acrossShopifyWooCommerceBigCommerceGoogle SearchMerchant CenterGoogle ShoppingChatGPT & AI discovery
The ecommerce problem
One store can create thousands of ways to lose visibility.
Your store is not ten pages. It is a living system of products, collections, variants, filters, and feeds - and it multiplies on its own.
Every filter combination, sort order, and variant can spawn another URL. Add pagination, internal search, tracking parameters, and products you discontinued two seasons ago, and a catalog of 500 products can present tens of thousands of crawlable paths. Left alone, those paths compete with each other: authority splits across near-identical pages, crawl budget gets spent re-reading noise, and the collection page you actually want to rank is buried under the mess.
Not every one of those URLs is a problem. A filter with genuine search demand and unique inventory can be a valuable landing page. The right treatment depends on search demand, uniqueness, crawl behaviour, and how your platform builds the URL - which is exactly why blanket rules fail here.
Illustrative catalog - treatment depends on demand, uniqueness, crawl behaviour and platform
Ecommerce SEO is not “regular SEO with more pages.” It is controlling a living catalog at scale.
The free store audit
See what your free store audit uncovers.
Seven things we check on every store, and what we do about each. These are illustrative findings - your audit reports what is actually on your catalog.
Catalog architecture
Mismatch risk
Detected
Multiple crawlable parameter combinations competing with the main collection.
Why it matters
Search authority may be divided across several near-identical URLs, and crawl budget gets spent re-reading pages that were never meant to rank.
Action
Consolidate signals and create a controlled indexation strategy - decided per URL by demand and uniqueness, not by a blanket rule.
Impact area: Consolidates authority on the pages meant to rank
Illustrative finding - your audit reports what is actually on your store
Collection opportunities
Improve
Detected
Product demand exists for a category without a dedicated optimized collection page.
Why it matters
Individual product pages rarely match broader commercial searches. Shoppers search the category; you only have SKUs.
Action
Build an intent-matched collection landing page with the relevant products, supporting copy, internal links, and structured data.
Impact area: Opens a new head-term entry point
Illustrative finding - your audit reports what is actually on your store
Product data & schema
Improve
Detected
Product markup present on most templates, but variant relationships and availability are incomplete.
Why it matters
Incomplete product data limits how confidently a search or AI system can describe, group, and compare what you sell.
Action
Complete Product and ProductGroup relationships, align availability and price with the live page, and validate at template level.
Impact area: Improves eligibility for richer results
Illustrative finding - your audit reports what is actually on your store
Merchant Center
Mismatch risk
Detected
Product attributes, website data, or feed values may not remain synchronized.
Why it matters
Inaccurate or conflicting product data can reduce eligibility or create product issues, and the feed drifts quietly between audits.
Action
Repair feed attributes, align landing-page data, and establish recurring monitoring rather than a one-time cleanup.
Impact area: Protects product distribution
Illustrative finding - your audit reports what is actually on your store
Content gaps
Missing
Detected
No buying guides or comparison content for the categories carrying the most revenue.
Why it matters
Shoppers research before they search for a product. With no guide, that demand reaches a competitor first and arrives at your store already decided.
Action
Publish comparison and use-case content mapped to real queries, linked into the collections it supports.
Impact area: Catches demand earlier in the buying cycle
Illustrative finding - your audit reports what is actually on your store
Conversion paths
Improve
Detected
Collection pages rank, but mobile filtering and product-card information make comparison difficult.
Why it matters
Ranking a page that does not convert just buys more expensive traffic. The visibility is real; the revenue is not.
Action
Recommend merchandising, filtering, and product-card changes on the highest-traffic collections, then measure the difference.
Impact area: Turns existing sessions into orders
Illustrative finding - your audit reports what is actually on your store
AI visibility
Missing
Detected
No measurement of how AI assistants describe or recommend the category you sell in.
Why it matters
A growing share of product research starts in an AI assistant. If you are not measuring it, you cannot tell whether you are in the answer.
Action
Track how assistants answer category questions, and strengthen the entity, attribute, and review context they read.
Impact area: Makes an unmeasured channel visible
Illustrative finding - your audit reports what is actually on your store
Not a checklist. Catalog architecture makes discovery possible, discovery earns qualified product traffic, distribution widens the surface, and conversion turns it into revenue - which re-prioritizes the next cycle.
01
Make the catalog understandable
Control what gets crawled, what gets indexed, and what consolidates - so the catalog stops competing with itself.
Crawl & indexation control
Canonicals
Redirect strategy
Sitemap hygiene
Pagination
Faceted navigation
Product variants
Internal-link architecture
Out-of-stock & discontinued products
A clean catalog is what makes demand capture possible
02
Capture product and category demand
Map what shoppers actually search, then build the pages that match it - usually collections, not SKUs.
Keyword & intent mapping
Collection-page strategy
Product-page optimization
Buying guides
Comparisons
Use-case pages
Brand & category combinations
Seasonal opportunity planning
Demand needs distribution to reach the whole surface
03
Improve product distribution
Your feed is part of your search presence. Product data decides where you are eligible to appear.
Merchant Center
Shopping feed quality
Product attributes
GTIN, brand, category & variant data
Price & availability consistency
Product & variant structured data
Review & offer data where legitimate
Feed issue monitoring
Visibility only counts once it converts
04
Convert visibility into revenue
Ranking a page that does not convert is not growth. We prioritize the pages closest to revenue.
Product-page conversion input
Collection usability
Internal search observations
Merchandising recommendations
Trust & review presentation
Mobile purchase friction
Cart-path observations
Conversion measurement
Revenue data re-prioritizes the next catalog cycle
Collection strategy
The page that ranks is often not the product page.
Shoppers search “womens trail running shoes,” not your SKU number. Every collection is a potential search landing page - and most stores ship them as a bare product grid.
Default collection page
Improve
Title is the category name and nothing else
No supporting copy - the page says nothing a search engine can rank
Products in default order, no merchandising
No filters, or filters that generate crawl waste
No internal links out to related collections
Thin metadata, no FAQ, no buying guidance
Optimized collection page
Healthy
Heading matches how shoppers actually search the category
Introductory copy that answers the question behind the query
Filters that help buyers and are controlled for crawl
Buying guidance and FAQs answering real pre-purchase questions
Internal links to related collections and guides
Product cards carrying the information that drives the choice
Structured data describing the products and their variants
A clear path to the cart, measured
Illustrative wireframes - not a screenshot of a real store
Platform expertise
The same checklist does not fit every platform.
Each platform creates its own routing, duplication, and feed patterns. We work with yours rather than against it.
Fast to launch and hard to break, which is exactly why its default catalog routing quietly creates work for you.
Product & collection architecture
Shopify can reach the same product through more than one path. We decide which path is canonical and make the internal linking agree with it.
Duplicate paths & canonical behavior
Default canonical handling covers the common cases. The edge cases - collection-scoped product URLs, tag pages - are where authority leaks.
Product variants
Variants are query parameters here. Whether they should be crawlable depends on whether anyone searches for them.
Theme performance
Theme code and render-blocking assets set your Core Web Vitals ceiling before a single app loads.
App-generated code
Every app adds scripts and sometimes markup. We audit what they inject, including duplicate schema.
Collection content
Collections ship as a bare product grid. The ranking version needs real supporting content.
Merchant Center integration
The native sync is convenient and not always complete. We check what it actually sends.
Internal linking
Shopify will not build topical internal links for you. That is manual, deliberate work.
The most flexible option, which means the catalog can be shaped correctly - or expand without anyone noticing.
Taxonomy & archive strategy
Categories, tags, and attribute archives can each generate crawlable pages. Most stores need only some of them indexed.
Product attributes
Attributes drive both filtering and feed quality. Modelled loosely, they weaken both at once.
Plugin conflicts
Two plugins emitting product schema is common, and conflicting markup is worse than none.
Parameter handling
Filter and sort parameters multiply fast on WooCommerce. Crawl paths need deliberate control.
Performance & hosting
Woo is only as fast as what it runs on. Hosting and caching are ranking factors here, not IT trivia.
Schema overlap
We consolidate to one correct source of product markup rather than layering another plugin on top.
Category & tag control
Tag archives are the classic Woo index-bloat source. They are useful when they earn it, noise when they do not.
Large catalog crawlability
Past a few thousand products, crawl efficiency stops being theory and starts deciding what gets seen.
Strong catalog fundamentals out of the box, with scaling questions that show up as the product count climbs.
Category hierarchy
Depth is a ranking decision. Deeply nested categories are harder to crawl and harder to link to.
Product filters
Faceted browsing is powerful and generates combinations. We decide which deserve to be crawlable.
URL & redirect management
Catalog changes mean URL changes. Redirects are where earned rankings are kept or lost.
Variant organization
Variant and option modelling drives both on-site UX and feed grouping.
Product-feed consistency
Feed values must agree with the live page. Drift between them creates product issues.
Theme performance
Stock themes vary. We measure rather than assume.
Structured product data
Built-in markup is a starting point; completeness is what earns richer results.
Catalog scaling
Templates must hold up at ten times the products. We build for the catalog you are growing into.
Merchant Center & Shopping
Your feed is part of your search presence.
Feed quality is visibility work, not administrative cleanup. Product data decides where you are eligible to appear - and it drifts quietly between audits.
Product feed attributesIllustrative
Product identityIDs stable across feed refreshesHealthy
TitlesAttribute order not matching search languageImprove
DescriptionsTruncated from the product pageImprove
BrandPopulated across the catalogHealthy
GTINAbsent on part of the catalogMissing
Product categoryAuto-assigned rather than mappedImprove
PriceFeed and landing page can disagree during salesMismatch risk
AvailabilityLags behind live stockMismatch risk
ShippingConfiguredHealthy
ReturnsPolicy set; requirements changeMonitor
ImagesSome below recommended resolutionImprove
Landing-page consistencyFeed values must match the live pageMismatch risk
Feed values must stay accurate and aligned with your website: when the feed and the landing page disagree on price or availability, that is a product issue waiting to happen. Fixing feeds does not guarantee rankings, free listings, ad performance, or approval - those are Google's decisions, and its requirements change. That is why monitoring is part of the plan rather than a one-time cleanup.
AI & product discovery
Shoppers no longer discover products in one search box.
Product research now starts in a dozen places - and increasingly, in an assistant that names three stores and stops.
01Traditional search result The blue link, still the biggest single channel
02Shopping & product surfaces Where your feed decides what appears
03Image & visual discovery Product photography as an entry point
04AI recommendation An assistant answering "what should I buy"
05Buying guides Research before the product search happens
06Comparison queries "X vs Y" - the highest-intent research there is
07Brand & category search The demand you have already earned
best trail running shoes for wide feet
For wide feet on trails, look for a roomy toe box and a stable outsole. Cactus Trail Co. carries several wide-fit options and publishes a fit guide comparing them by width and terrain.
Illustrative example with an invented store - not real AI output, and not a promise of placement
What actually moves this
Nobody controls what an assistant says. What we can do is improve eligibility, strengthen machine-readable context, and measure how your category is answered.
Confirm the change did what it was supposed to. Indexation and feed fixes are verified, not assumed.
06
Improve
Feed the results back in, then re-prioritize the next cycle.
The loop is prioritized by commercial opportunity, not by task count. A month where we fix one collection that drives revenue beats a month where we tick forty boxes that do not. You see what we chose and why.
Onboarding
Your first 90 days.
Days 1-30
Diagnose and stabilize
Connect approved data sources
Crawl and map the catalog
Review indexation
Inspect platform structure
Check product and collection templates
Review Merchant Center
Identify immediate risks and opportunities
Establish measurement
Days 31-60
Build demand coverage
Repair priority technical issues
Improve high-value collections
Optimize priority products
Strengthen internal links
Repair product data
Begin content production
Establish review and authority workflows
Days 61-90
Compound and expand
Build additional collection opportunities
Publish buying and comparison content
Validate indexation changes
Expand feed improvements
Review conversion behavior
Track search and AI visibility
Prioritize the next growth cycle
This is a plan of work, not a promise of results. Ninety days is enough to fix what is broken, ship real pages, and see early movement on the fastest-responding work. Anyone attaching a revenue guarantee to a date is guessing.
Illustrative opportunity model
Size the opportunity with your own numbers.
We have no ecommerce case study to show you yet, and we do not publish invented client results. So instead of a success story, here is the arithmetic - put your own numbers in.
You choose this number. It is not a target we are proposing.
Planning illustration
Estimated organic revenue now
$12,240
At 20% more organic traffic
$14,688
Monthly difference
$2,448
This is arithmetic, not a forecast. It multiplies numbers you entered - sessions x conversion rate x average order value - and applies an increase you chose yourself. It is a planning illustration to help size whether organic is worth your attention. It is not a prediction, a benchmark, or a guarantee of results, and it assumes conversion rate and order value hold steady, which real traffic rarely does.
Pricing
Choose based on catalog complexity, not ambition.
Two plans. The honest dividing line is what your store is doing today - not what you hope it does next year.
The dividing line is roughly $25K/mo revenue or a 500+ product catalog. Above either, full coverage tends to pay for itself.
Advisory only - this does not change pricing or commit either of us to anything. The free audit is where we give you a real recommendation. Get the audit instead.
Ecommerce Growth
Full catalog, fully optimized.
$1,599 / mo
Best fit
Stores where organic is a primary channel
Store stage
Roughly $25K+/mo, or a large catalog
Catalog scope
Full catalog - every product and collection
Main focus
Total coverage: catalog, demand, feeds, conversion
Upgrade path
The ceiling - we scale the work with the catalog
Full catalog optimization - products & collections
Reviews program - collection, display & rich snippets
Not selling online? The website + SEO plans start at $299/mo with a modern rebuild and hosting included. Multi-store or multi-market? Let's talk.
Straight answers
The things store owners actually ask us.
We already run paid Shopping campaigns. Why invest in SEO?
Keep them. Paid buys you a position for as long as you keep paying; organic earns one that keeps returning. Most stores we talk to are renting every customer, so the moment budget pauses, discovery stops. The two also feed each other: the product data that fixes your feed is the same data that helps organic listings, and Search Console tells you which terms are worth bidding on.
Our platform already generates product schema. What are you adding?
Completeness and accuracy. Platform markup usually covers the basics on a good day, but variant relationships, availability, and price often drift from what the page actually shows - and two apps emitting competing schema is worse than one emitting none. We consolidate to one correct source and validate at template level, so a fix holds across the whole catalog.
We have thousands of products. Do you optimize every SKU?
No, and any agency promising that is describing a billing model, not a strategy. Revenue in a catalog is concentrated. We fix things at template level so every product benefits, then hand-optimize the products and collections carrying the revenue. Essentials caps this deliberately at your top 50 products plus all collections; Growth covers the full catalog.
Will you redesign our store?
Not as part of these plans. Your storefront is a working system you have already invested in, so the money goes into ranking the catalog instead. We give conversion and merchandising recommendations, and your team or ours can implement them. If your store genuinely needs a rebuild, we will say so and scope it separately rather than quietly bill it monthly.
Do you work with our existing developer?
Regularly, and it is often the fastest setup. We write the specification, explain the reasoning, and review the result. You keep the developer who knows your codebase; we bring the search judgment. If you have no developer, we can implement within the scope of your plan.
What happens to discontinued products?
It depends on whether the demand still exists. A product with search demand and a successor gets redirected to the closest match. A seasonal item returning next year usually stays with clear availability signals. A dead SKU with no demand and no successor is retired properly. Deleting them all is how stores throw away earned rankings; keeping them all is how catalogs bloat.
Can you repair Merchant Center issues?
Yes - it is part of both ecommerce plans. We work through disapprovals and warnings, align feed attributes with landing-page data, and monitor for drift. What we will not do is promise approval or reinstatement: those are Google's decisions against requirements that change, and ongoing monitoring is the honest answer rather than a one-time cleanup.
How do you choose which collections to build?
Search demand first, then how well it matches what you actually stock and margin on. A collection is worth building when real people search the category, you have the products to satisfy it, and no page currently answers it well. We show you the shortlist and the reasoning before anything gets built.
Do you write product descriptions?
For priority products, yes - within your plan's content scope. We do not mass-generate thousands of descriptions nobody reads. Content goes where it changes a decision: the products and collections carrying revenue, plus the guides and comparisons that catch demand earlier.
How do you measure ecommerce SEO revenue?
Organic sessions, then what they do. We report on organic revenue and orders, which collections and products earn them, and how that changes month over month - not just rankings. Rankings are a leading indicator; revenue is the point. We agree on the measurement setup in the first 30 days so the baseline is real.
Can you guarantee rankings?
No, and nobody credible can - Google's results are not for sale and nobody controls them. What we commit to is the work, the reasoning, and honest reporting on what moved. If someone guarantees you a position, ask what happens when they miss it.
How long before we see movement?
Collection pages and feed fixes tend to move first, often inside a couple of months. Competitive category rankings against established marketplaces take longer. The free audit gives you a real timeline for your catalog and category rather than a number designed to close you.
Ecommerce SEO FAQ
Questions about ecommerce SEO.
Ecommerce SEO is the work that makes your products and collections rank in Google, Shopping, and AI answers: catalog architecture, technical fixes applied at scale, collection-page strategy, product data and structured data, feed quality, content, and links. It is the same discipline as regular SEO applied to a catalog of hundreds or thousands of pages instead of a handful.
A service business has ten pages and wins on local signals - profile, reviews, proximity. A store has thousands of URLs that multiply on their own through variants, filters, and sort states, and wins on catalog control, product data, and feed quality. Local SEO is about being found nearby; ecommerce SEO is about controlling a living catalog at scale.
Yes, all three. The platform matters less than the catalog: templates, collections, variants, feeds, and speed are the same job everywhere, but each platform creates its own routing and duplication patterns, so the fixes differ. If your platform is actively fighting you, we will say so in the audit rather than bill you monthly to work around it.
Both, but collections usually earn the bigger win first. Shoppers search categories - "womens trail running shoes" - not your SKU numbers, and a product page is a poor match for that query. Collection pages are the landing pages for commercial demand, and most stores ship them as a bare product grid with no supporting content.
Ecommerce Growth covers the full catalog - every product and collection. Ecommerce Essentials caps the scope at your top 50 products plus all collections. In both, template-level fixes benefit every product at once, and hand-optimization goes to the products carrying revenue.
Variants are treated as a search-demand question, not a rule. If people search for a specific colour or size, that variant may deserve to be crawlable and distinct. If they do not, it should consolidate to the parent so the catalog stops competing with itself. We also make sure variant relationships are expressed correctly in structured data and grouped properly in your feed.
We decide the treatment per facet rather than blanket-blocking them. A filter combination with genuine search demand and unique inventory can be a valuable landing page. One that just reorders the same products is crawl waste. The right answer depends on demand, uniqueness, crawl behaviour, and how your platform implements the facet.
Feed attribute repair, aligning feed values with your landing pages, working through disapprovals and warnings, variant grouping, price and availability consistency, and recurring monitoring for drift. It does not include any promise of approval, free listings, or ad performance - those are Google's decisions, against requirements that change.
No. Structured data makes your products machine-readable and eligible for richer treatment; it never guarantees it. What it reliably does is remove ambiguity about what you sell, how variants relate, and what things cost - which matters more as AI systems try to describe and compare products.
Shoppers increasingly research in AI assistants before they ever reach a search box. We cannot make an assistant recommend you, and nobody can. What we can do is improve eligibility and clarity: clean product entities, consistent attributes, correct variant relationships, collection context, genuine comparison content, and reviews - then measure how assistants actually answer questions in your category.
No, and that is deliberate. The website plans (Launch, Grow, Local SEO MAX) include a rebuild because those sites usually need one. Your store is a working storefront on a platform you have already invested in, so the ecommerce plans put the money into ranking the catalog instead. If your store genuinely needs a rebuild, we will scope it separately.
Ecommerce Growth is $1,599/mo and covers the full catalog, reviews, Merchant Center and Shopping feed, 3-4 content pieces a month, AI visibility, link outreach, and CRO input. Ecommerce Essentials is $999/mo with a capped scope - your top 50 products plus all collections, reviews setup, and 2 posts a month. No setup fees, no contracts.
Revenue and catalog complexity are the honest dividing lines. Growth is built for stores doing roughly $25K+/mo, where full catalog coverage pays for itself. Below that, Essentials concentrates the work on the products and collections already carrying your revenue, and you step up to Growth when the numbers support it.
No. No setup fees, no long-term commitment, cancel anytime. Stay because the catalog is compounding, not because you are locked in.
Days 1-30 are diagnosis and stabilization: connect data sources, crawl and map the catalog, review indexation and Merchant Center, and establish measurement. Days 31-60 build demand coverage: repair priority technical issues, improve high-value collections, and start content. Days 61-90 compound: more collections, buying guides, validated indexation changes, and the next growth cycle.
Collection pages and feed fixes tend to move first, often inside a couple of months. Competitive category rankings against established marketplaces take longer. The free audit gives you a real timeline for your catalog and category rather than a number we made up.
Free store audit
Find the revenue your catalog is hiding.
We'll show you where products and collections are losing visibility, which opportunities deserve attention first, and what a practical growth plan would look like. No pressure, no contracts.