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.

  • Arizona-based
  • No setup fees
  • No long-term contracts
  • Shopify · WooCommerce · BigCommerce
  • Technical SEO, content, feeds & CRO

Catalog visibilitySAMPLE STORE
  • Crawlable URLs14,208 - status: Monitor
  • Indexable products1,842 - status: Improve
  • Duplicate variant paths3,960 - status: Mismatch risk
  • Collection opportunity23 pages - status: Improve
  • Product schema coverage61% - status: Improve
  • Merchant Center8 warnings - status: Mismatch risk
  • 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.

How one collection turns into thousands of crawlable URLsAn illustrative catalog map. One collection page, /collections/running-shoes, is marked index because it matches search demand. Three product pages beneath it are also indexed. Below those, four low-value paths branch off: a variant parameter and a duplicate sale path are marked consolidate, a filter and sort combination is marked remove from crawl path, and a retired product is marked redirect. A separate orphaned product with no internal links is marked improve. The correct treatment for each depends on search demand, uniqueness, and how the platform builds the URL./collections/running-shoesIndex - the page demand asks for/products/trail-xIndex/products/road-yIndex/products/gym-zIndex?variant=redConsolidate?size=9&sort=priceRemove from crawl path/sale/products/road-yConsolidate/retired-bRedirect/products/old-aImprove - orphaned
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

Run this audit on my store
The system

Four systems that feed each other.

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.

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
  • Variant groupingitem_group_id incompleteMismatch risk
  • 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.

  1. Traditional search result
    The blue link, still the biggest single channel
  2. Shopping & product surfaces
    Where your feed decides what appears
  3. Image & visual discovery
    Product photography as an entry point
  4. AI recommendation
    An assistant answering "what should I buy"
  5. Buying guides
    Research before the product search happens
  6. Comparison queries
    "X vs Y" - the highest-intent research there is
  7. Brand & 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.

Product entitiesVariant dataComparison contentReviews

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.

Clear product entitiesConsistent attributesProduct & variant relationshipsCollection contextHelpful comparisonsFirst-party expertiseReviews & reputationStructured dataCrawlable, accessible content
How the work runs

Not a one-time checklist. A monthly catalog growth system.

Catalogs change every week: products launch, sell out, and get retired. The work is a loop, not a project with an end date.

  1. 01

    Measure

    Search Console, analytics, catalog health, feed status, and AI-visibility checks.

  2. 02

    Prioritize

    Rank the work by commercial opportunity - the pages closest to revenue, not the longest task list.

  3. 03

    Fix

    Indexation changes, technical repairs, product data, internal links, feed issues.

  4. 04

    Publish

    Collection pages, product optimization, buying guides, comparisons.

  5. 05

    Validate

    Confirm the change did what it was supposed to. Indexation and feed fixes are verified, not assumed.

  6. 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
  • Merchant Center / Shopping feed, managed
  • 3-4 content pieces / month
  • AI / AEO visibility - get cited
  • Link outreach
  • CRO input on product & cart pages

For stores doing roughly $25K+/mo.

Scale my store
Ecommerce Essentials

The on-ramp for smaller stores.

$999 / mo
Best fit
Smaller stores building an organic base
Store stage
Under roughly $25K/mo
Catalog scope
Top 50 products + all collections
Main focus
Concentrate on what already carries revenue
Upgrade path
Step up to Growth as revenue grows
  • Capped scope - top 50 products + all collections
  • Reviews setup
  • 2 posts / month
  • On-page & technical SEO for your store

Built to outgrow: step up to Growth as revenue grows.

Start with Essentials

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.
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.

  • Catalog & indexation review
  • Collection opportunities
  • Merchant Center & feed check
  • Product data & schema
  • AI visibility

Prefer to talk now? Call (480) 400-4493.

We reply within two business days. Prefer email? [email protected].