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Ecommerce SEO Services

Ecommerce SEO Services: Turn Your Catalog Into a Sales Channel

Ecommerce SEO services grow organic revenue by fixing what online stores get wrong: category pages that do not target a keyword, thousands of thin product pages, filter URLs that eat crawl budget, and no product schema. We work on Shopify, WooCommerce, Magento and BigCommerce stores, build the category architecture around search demand, and earn the links that let categories rank. Managed programmes start at $499 a month.

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3xorganic revenue in 9 months (furniture retailer case study)
2.4xorganic revenue scaled for Piurify, a DTC brand
0%traffic loss on a full replatform migration
4platforms optimized: Shopify, Woo, Magento, BigCommerce
Trusted by ecommerce & DTC brands PIURIFY TOVAA CAPTIVATING WORLDS CORE PEPTIDES ULTRA PATCHES
Why it pays for itself

How ecommerce SEO compounds into revenue

Paid ads stop the moment the budget stops. Organic visibility compounds instead; every category page that ranks, every product cited by an AI assistant, keeps selling without a per-click cost attached.

High-Intent Traffic, Not Just Traffic

Category and product rankings capture shoppers who already know what they want. Those are the visits that actually convert, not vanity sessions.

Lower Blended Acquisition Cost

As organic revenue grows, your dependence on rising ad CPCs shrinks: the same order volume at a falling blended cost per acquisition.

Rich Results That Win the Click

Price, availability, and star ratings shown directly in search results, powered by product schema done properly, not left to the theme's defaults.

Visible to AI Shoppers

Buyers increasingly ask ChatGPT, Gemini, and AI Overviews to compare products first. Clean schema and structured comparisons make your catalog citable in those answers.

Multi-Market Ready

Selling across the US, UK, Australia, and Canada? Hreflang and regional structure keep each market's shoppers landing on the right currency and catalog.

Outlast Competitor Ad Budgets

A competitor can outbid you tomorrow; they can't out-rank a category page with two years of accumulated authority overnight. Organic is the moat.

Sound familiar?

The problems store owners bring us

If any of these sound like your store, they're diagnosable, and almost always fixable. Each one maps to a specific part of our process below.

"My products don't show up on Google at all."

Usually an indexation problem, not a content one: robots directives, canonical errors, or crawl budget exhausted on filter URLs before Google ever reaches your products.

"We rank, but marketplaces and aggregators outrank us for our own products."

Amazon, Etsy, and comparison sites win on authority. The counter is category-page depth, original product content, and review schema they can't replicate for your brand.

"Our site got slower every year and now conversions are slipping."

App and plugin accumulation is the usual culprit: each one adds JavaScript your shoppers pay for. We audit what's actually earning its load cost.

"We're completely dependent on paid ads."

Rising CPCs eat margin every quarter. Organic builds slower but compounds, and the categories you rank for keep selling when the ad account pauses.

"Traffic dropped after our redesign / replatform."

Almost always missing or mismapped redirects. A pre-migration URL inventory and staged redirect map is how this gets prevented, and recovered.

"Google indexed thousands of filter pages we never meant to publish."

Faceted navigation generating size/color/price combinations unchecked. Fixing parameter handling reclaims crawl budget for pages that convert.

"ChatGPT recommends our competitors, never us."

AI assistants favor catalogs with clean product schema, third-party review presence, and structured comparison content. That's buildable: see our GEO service.

"Our star ratings show on some products but not others."

Inconsistent or invalid Review schema, often broken silently by a theme update. We validate and monitor it per template, not per page.

"Every product variant has its own URL and they compete with each other."

Variant cannibalization splits ranking signals across near-identical pages. Canonical strategy decides which variants deserve their own indexed URL.

Platform-aware, not one-size-fits-all

Every platform breaks SEO differently. We optimize accordingly.

A generic checklist treats a Shopify store and a Magento multi-store the same. They aren't. These are the load-time targets we engineer toward and where the real work sits on each platform.

PlatformOptimized Load TimeWhere We Focus
Shopify1.5–1.8sApp-bloat reduction, URL structure workarounds (/collections/ and /products/ constraints), metafield-driven schema, Online Store 2.0 template optimization
WooCommerce0.9–1.3sPlugin audit, hosting/caching layer, image pipeline, database bloat from abandoned plugins, attribute/archive indexation control
Magento (Hyvä)1.2–1.6sLayered navigation control, multi-store configuration, index management, attribute-page strategy at enterprise catalog scale
BigCommerce1.8–2.2sOut-of-the-box baseline tuning, faceted filter configuration, category structure, headless storefront rendering where applicable
Headless (Next.js etc.)0.8–1.4sServer-side rendering verification, hydration cost, ensuring product schema is in the raw HTML response, not injected client-side where AI crawlers miss it
The problem at scale

Faceted navigation creates thousands of pages you never meant to publish

A poorly configured filter system (size, color, price, brand combinations) can generate thousands of near-duplicate URLs that fragment page authority and waste crawl budget. Google can spend its entire crawl allocation on filter permutations and never reach the product pages that actually convert.

We set canonical rules, parameter handling, and selective indexation so filters help shoppers without flooding Google's index, and selectively open the handful of filter combinations (like "oak dining tables") that have genuine standalone search demand.

No generic "ecommerce SEO checklist" applied the same way regardless of platform
No indexing every filter combination by default
No blanket noindex that also kills the filter pages with real search demand
No guessing from a crawl tool alone: log files show what Googlebot actually does
Catalog-specific problems

The issues generic SEO checklists miss on ecommerce sites

Out-of-stock & discontinued products

We treat product lifecycle (sold out, seasonal, discontinued, variant changes) as an ongoing SEO process: 301 to the closest live replacement, keep high-authority pages live with clear messaging, or 410 dead ones deliberately, instead of leaving broken or thin pages to accumulate.

Near-duplicate product & variant content

Color and size variants of the same product often ship with near-identical descriptions. We map keywords to page type before content is written (category vs. product vs. variant), so pages don't cannibalize each other.

Pagination vs. infinite scroll

Paginated category pages need a deliberate indexing strategy (self-canonicalizing pages, "load more" patterns, or rel=next/prev depending on your platform), not whatever the theme defaults to.

Internal site search as a keyword signal

Your own site-search query logs show exactly what shoppers can't find through navigation: we mine that data for missing category pages and content gaps most keyword tools never surface.

Product & review schema, kept fresh

Product and Review/AggregateRating schema implemented and monitored on an ongoing basis. Price, availability, and rating data drift out of sync with your catalog faster than most teams notice.

AI shopping assistants & AI Overviews

Shoppers increasingly ask ChatGPT, Gemini, and Google's AI Overviews to compare products before they ever hit a category page. Clean product schema and structured comparison content are what make your catalog eligible to be cited in those answers.

How we triage a catalog

The Revenue-per-URL framework

A 50,000-SKU catalog can't be optimized page by page in any reasonable timeframe, so we rank templates and category pages by revenue or traffic per URL, not by URL count. A category template used by 200 pages generating steady traffic outranks a filter combination generating none, even if the filter combination technically has more indexed URLs. This is also how we decide where crawl-budget fixes pay off fastest.

Worked example (illustrative)

A furniture retailer's crawl shows 6,000 faceted filter URLs (color + material combinations) consuming crawl budget, versus 80 category pages that generate nearly all organic revenue.

Rather than trying to fix all 6,000 URLs, we canonicalize the low-value filter combinations first (freeing up crawl budget for the 80 category pages, which is where the revenue actually lives), then selectively unblock the 4–5 filter combinations (like "oak dining tables") that have real standalone search volume.

The result is fewer indexed URLs overall, but more crawl attention on the ones that convert.

Our process, end to end

The 12 steps behind a winning ecommerce SEO program

This is the full engagement, not a highlight reel: every store moves through the same sequence, scoped to its catalog size and platform.

01

Full Store Audit

A complete crawl of every indexable URL, cross-referenced with Search Console, GA4, and server log files. We benchmark indexation rate, crawl-budget distribution, Core Web Vitals by template, and schema validity before recommending anything: the audit decides the roadmap, not a template.

02

Keyword & Intent Mapping

Every target keyword is mapped to a page type before content is written: broad commercial terms to category pages, model/spec terms to product pages, comparison and "best" queries to buying guides. This one discipline is what prevents cannibalization at catalog scale.

03

Technical & Crawl Fixes

Indexation errors, canonical chains, redirect debt, robots directives, and the faceted-navigation parameter strategy, prioritized by how many URLs each fix touches and how much revenue those URLs drive, then shipped as direct fixes or developer-ready tickets.

04

Site Architecture & Navigation

Category hierarchy restructured around how shoppers actually browse and search: flat enough that money pages sit within three clicks of the homepage, with internal linking that concentrates authority on the categories that convert.

05

Product Page Optimization

Unique descriptions that replace manufacturer copy-paste, specification tables crawlers can parse, optimized image alt text and file sizes, and per-product title/meta patterns that scale across the catalog without becoming templated spam.

06

Category Page Content

Category pages carry the broadest keyword volume in ecommerce, and most stores leave them as bare product grids. We add genuinely useful buying context (selection guidance, spec explanations, FAQ blocks) positioned so it supports rankings without pushing products below the fold.

07

Schema Implementation

Product, Offer, AggregateRating, BreadcrumbList, and Organization schema implemented at the template level and validated continuously: price and availability drift out of sync with the catalog faster than most teams notice, and broken schema silently kills rich results.

08

Content & Buying Guides

Comparison articles, buying guides, and problem-solution content targeting the research queries shoppers run before they know what to buy, each one internally linked to the categories and products it should feed, and structured for AI-engine extraction.

09

Conversion Layer

Traffic that doesn't convert is a rankings trophy, not revenue. We review the landing experience on ranking pages (above-the-fold clarity, trust signals, review visibility, page speed) and flag conversion blockers alongside the SEO work rather than treating them as someone else's problem.

10

Authority & Link Building

Earned links and digital PR from sources in your category (product roundups, niche publications, data-led campaigns) paced to your store's existing authority. See our link building services for the standards we hold placements to.

11

AI Search Layer (GEO)

The same catalog made citable by AI assistants: clean machine-readable product data, structured comparison content, and third-party review presence, so when a shopper asks ChatGPT or Gemini "what's the best X under $200," your products are eligible to be the answer.

12

Reporting & Iteration

Monthly reporting against revenue and transactions from organic (not just rankings), with a live dashboard, per-category performance, and next month's priorities. Quarterly, the roadmap reallocates toward whatever the data says is working hardest.

Proof, not promises

Ecommerce results we've actually delivered

Featured case study

Furniture retailer: 3x organic revenue in 9 months

Years of flat organic traffic, a catalog Google couldn't crawl efficiently, and category pages that were bare product grids. We rebuilt the category-page architecture, fixed crawl waste from faceted navigation, and rebuilt the content layer around real purchase intent.

Read the full case study →
3x organic revenue growth in 9 months
2.4x

Piurify Hydrogen Water

Category architecture and content rebuild scaled organic revenue for a DTC ecommerce brand.

Read case study →
0%

Enterprise Replatform, Zero Traffic Loss

Full migration across thousands of URLs with zero organic traffic loss: redirect mapping and crawl-budget planning done right.

Read case study →
Plans

Scoped to your catalog, quoted for your store

SEO isn't bought off a shelf: scope depends on your catalog size, platform, and competition, so every plan below leads to a conversation and a custom quote, not a checkout button. Engagements typically start around $1,800/month; your exact number comes after the discovery call.

Launch
For smaller catalogs establishing an organic foundation
Catalog sizeUp to 500 SKUs
Priority categoriesUp to 10
Content pieces / month2
Expert hours / month25+
  • Full store audit & fix roadmap
  • Technical & crawl fixes
  • Product/Review schema at template level
  • Monthly revenue-tied reporting
Get a Custom Quote
Most Popular
Growth
Our most common engagement for scaling stores
Catalog sizeUp to 5,000 SKUs
Priority categoriesUp to 30
Content pieces / month4–6
Expert hours / month60+
  • Everything in Launch
  • Faceted navigation & crawl-budget program
  • Category-page content builds
  • Active link building & digital PR
  • AI search (GEO) layer included
Get a Custom Quote
Scale
For large catalogs, multi-market, and marketplace-level competition
Catalog size5,000+ SKUs
Priority categoriesUnlimited
Content pieces / month8+
Expert hours / month120+
  • Everything in Growth
  • Log-file analysis & crawl-budget engineering
  • Multi-market hreflang & regional structure
  • Migration/replatform support
  • Dedicated strategist + technical lead
Get a Custom Quote

Have specific needs that don't fit a tier?

Migrations, one-off audits, marketplace-heavy catalogs, or headless builds, and we scope custom engagements too.

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What's actually included

Deliverables, plan by plan

No vague "comprehensive optimization" language: this is the work, listed. Anything marked for your plan gets done and reported on.

DeliverableLaunchGrowthScale
Setup & Analysis
Full technical crawl & indexation auditScreaming Frog/Sitebulb crawl cross-referenced with Search Console
Keyword-to-page-type mappingCategory vs. product vs. guide assignment before any content ships
Competitor & SERP benchmarkingTop 3–5 organic competitors' keyword and content gaps
Server log-file analysisWhat Googlebot actually crawls, not what a tool simulates—
Technical SEO
Indexation & canonical fixes
Faceted navigation & parameter strategy—
Core Web Vitals optimization by template
Migration / replatform supportURL inventory, redirect mapping, 90-day monitoring window——
On-Page & Content
Product page optimizationUnique descriptions, spec tables, image optimization, title/meta patterns
Category page content builds—
Buying guides & comparison content—
Product/Review/Offer schema, monitoredTemplate-level implementation with ongoing validation
Authority & AI Search
Link building & digital PR—
AI search (GEO) optimizationSchema, comparison structure, and review presence for AI citation eligibility—
Multi-market hreflang & regional structure——
Reporting & Management
Live dashboard + monthly revenue-tied report
Named strategist & monthly call
Quarterly roadmap reallocation—
Dedicated technical lead——
Get a Custom Quote for My Store
Related services

Often paired with ecommerce SEO

Technical SEO

The crawl, indexation, and rendering foundation every catalog depends on.

Explore →

Site Speed & CWV

Third-party script governance and platform-specific speed fixes.

Explore →

GEO / AI Search

Make your catalog citable when shoppers ask AI assistants what to buy.

Explore →

Link Building

Earned authority from real editorial sites in your category.

Explore →
Common questions

Ecommerce SEO, answered

How long does ecommerce SEO take to show results?+
Technical and indexation fixes often show movement within 4–8 weeks: unblocking crawl budget or fixing canonicals can recover rankings that were suppressed, not absent. Category-page rankings on competitive terms typically build over 3–6 months, with revenue impact compounding after that. Anyone promising page one in 30 days is describing luck or spam.
How does pricing work, and why don't you list a fixed price?+
Because a 300-SKU Shopify store and a 40,000-SKU Magento multi-store are not the same engagement. Plans are scoped by catalog size, platform, and competition, then quoted after a discovery call and store review. Engagements typically start around $1,800/month: the discovery call is where that becomes a firm number for your store, with the deliverables table above defining exactly what it covers.
Will we need to change our site's code or content?+
Some fixes happen entirely through your platform admin (metadata, redirects, schema apps, content). Template-level fixes (faceted navigation rules, structural schema, speed work) need theme or dev access; we implement directly where you grant it, or hand your developer a prioritized, ready-to-work ticket list.
How is ecommerce SEO different from normal SEO?+
Catalog scale changes the problem entirely: faceted navigation, product variants, out-of-stock lifecycle, pagination, and product schema are issues a 30-page service site never encounters. The fundamentals overlap; the failure modes and the fixes don't.
How is this different from the "SEO for Ecommerce" industry page?+
This page covers the technical, platform-specific service: what we actually fix on your Shopify, WooCommerce, or Magento store. SEO for Ecommerce covers the broader strategic positioning: schema, buyer-intent content, and trust signals.
Can you migrate us between platforms without losing rankings?+
Yes, platform migrations are one of our most common engagements: full pre-migration URL inventory, redirect mapping at the URL level, staged rollout, and a 90-day post-launch monitoring window. Our enterprise migration case study shipped with zero organic traffic loss.
How do you handle out-of-stock or discontinued products without losing rankings?+
Depends on the page's authority and how long it's likely to stay unavailable: redirect to the closest live replacement, keep a high-authority page live with clear "currently unavailable" messaging, or deliberately 410 it if the product is permanently gone, decided case by case, not by a blanket rule.
Should our paginated category pages use infinite scroll or numbered pages?+
It depends on your platform and how shoppers actually browse, but the indexing strategy needs to be deliberate either way: self-canonicalizing paginated pages or a "load more" pattern that still exposes crawlable links, rather than whatever your theme defaults to.
How do you avoid duplicate content across near-identical product variants?+
We map keywords to page type (category, product, variant) before content is written, and use canonical tags or consolidated variant pages where color/size differences don't justify separate indexed URLs.
Do you optimize our internal site search?+
Yes, your own site-search query logs show exactly what shoppers can't find through navigation, which we mine for missing category pages and content gaps that standard keyword research tools miss.
What schema do you implement for products and reviews?+
Product schema (price, availability, SKU), Offer, and Review/AggregateRating schema, implemented at the template level and monitored on an ongoing basis. Price and availability data drifts out of sync with your catalog faster than most teams notice.
How is AI changing ecommerce SEO?+
Shoppers increasingly ask ChatGPT, Gemini, and Google's AI Overviews to compare products before visiting a category page at all. Clean, accurate product schema and structured comparison content are what make your catalog eligible to be cited in those answers, the same fundamentals that support classic search, which is why our Growth and Scale plans include the GEO layer as standard.
Do small stores need ecommerce SEO, or is this only for big catalogs?+
Smaller catalogs benefit too: often faster, since template-level fixes cover the whole store quickly and category competition is winnable sooner. Scope and cost scale down with catalog size, which is exactly why plans are quoted rather than flat-priced.
Category pages or product pages: which do you prioritize first?+
Category pages, in most cases: they carry the broader keyword volume and are what most new customers land on first. Product pages get prioritized directly for high-volume or high-margin SKUs.

Find out what your catalog is leaving on the table

Start with a free store audit or go straight to a custom growth plan. Either way, the first conversation costs nothing and you keep the findings.

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