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SEOSpot

Industries · Ecommerce

Your product pages are competing with themselves. Your category pages are the actual revenue driver.

Ecommerce SEO that prioritizes what moves revenue. Category and collection pages first, product pages templated at scale, buying guides built for the queries AI engines now answer.

5-10x

Average search volume on category pages vs individual product pages

70%

Of pre-purchase comparison queries now show AI Overviews

30%

Of ecommerce sites still don't have Product or AggregateRating schema

The problem

Most ecommerce SEO advice was written for 2017.

Generic 'write 500 words on every product' advice doesn't work when you have 5,000 SKUs. Real ecommerce SEO prioritizes the 50 category pages that drive 80% of search revenue, templates product pages at scale, and builds buying guides for the comparison queries AI engines now intercept. The brands winning organic in 2026 fixed category pages and built buyer-research content first; everything else came second.

What we see in Ecommerce

The patterns that keep showing up

Category pages neglected in favor of blog content

Category pages drive most of the search revenue but get the least optimization attention. Most look like default Shopify templates.

Faceted navigation creating index bloat

Filters and color/size variants create thousands of crawlable URLs that dilute category page authority and waste crawl budget.

Generic product descriptions across thousands of SKUs

Manufacturer-supplied product copy duplicates across hundreds of retailers. Yours needs to be unique to rank.

Missing schema on PDPs and collections

Without Product, Offer, AggregateRating, and Review schema, you're invisible to Google Shopping, rich results, and AI engine citation.

No buying guides for pre-purchase queries

Buyers research 'best [product] for [use case]' before they shop. AI engines answer those queries now. If you're not cited, the discovery happens without you.

How we work

Our methodology, adapted for ecommerce

Step 01

Revenue-weighted keyword map

Pull GA4 + Search Console data, identify which 50-100 keywords drive 80% of search revenue. Optimization priority follows revenue, not volume.

Step 02

Top category page rebuild

The high-leverage pages — top 20-50 categories — get rewritten as a coordinated project. New copy, schema, internal linking, faceted nav handling, Core Web Vitals.

Step 03

Product page templating

We don't rewrite 5,000 products manually. We rebuild the PDP template so every product inherits proper schema, internal linking, and AI-citable structure.

Step 04

Faceted nav + indexation control

Smart canonical and robots rules so faceted URLs don't bloat your index. Critical filters become indexable; the rest are closed.

Step 05

Buying guides + comparison content

10-30 mid-funnel articles that capture pre-purchase queries AI engines now answer. Built for citation, not just ranking.

Step 06

Google Shopping + Merchant Center

Product feed optimization, schema alignment, and disapproved product cleanup. Organic and Shopping share enough signals that improving one improves the other.

What you get

Deliverables, not deliverables-shaped reports

Category page rebuild (top 20-50 pages)

Coordinated copy, schema, internal linking, faceted nav, and performance work.

Product page template upgrade

Sitewide PDP template with schema saturation, internal linking, AI-citable structure.

Faceted navigation strategy

Canonical + robots rules to control bloat without losing long-tail filters.

Buying guides + comparison content

10-30 mid-funnel articles for pre-purchase queries.

Google Shopping + Merchant Center audit

Product feed optimization and schema alignment.

Monthly performance report

Revenue-attributed traffic, top-converting pages, and category-level performance.

Platforms common in ecommerce

Ecommerce sites we typically work on

Ecommerce buyers tend to be on specific platforms. We have technical playbooks for each — covering the gotchas, schema implementation, and plugin choices unique to the stack.

Common questions

About ecommerce SEO

Which ecommerce platforms do you work with?

Deep experience on Shopify (including Shopify Plus), Magento 2, WooCommerce, and BigCommerce. We've also worked on Salesforce Commerce Cloud, Centra, and custom platforms. Most of our ecommerce work is on Shopify and Shopify Plus.

How do you handle stores with 10,000+ products?

Through templates, not manual page-by-page work. We rebuild the PDP template so every product inherits the right structure, then focus manual optimization on the top 50-200 highest-revenue products and top 20-50 category pages. That covers 90%+ of search revenue.

Do you help with Google Shopping and product feeds?

Yes — feed optimization, schema alignment, and Merchant Center cleanup are part of every ecommerce engagement. Organic and Shopping share enough signals that improving one improves the other.

How fast do ecommerce SEO results show up?

Category page rebuilds tend to show movement within 30-60 days. PDP template improvements take 60-120 days to compound because Google needs to re-crawl thousands of pages. Buying guides and comparison content ramp over 90-180 days.

Do you write product descriptions at scale?

For the top 200-500 highest-revenue SKUs, yes — written or substantially edited by humans. For the long tail, we build template + variable systems that generate non-duplicate descriptions from your product attributes. Pure AI-generated descriptions across 10,000 SKUs are a Google quality risk we avoid.

Send me your site. I'll tell you honestly what's broken.

A 45-minute call where I look at your ecommerce site live and tell you what I'd prioritize. If we're a fit, we'll talk about working together. If not, I'll point you to who I'd hire instead.

Book a 45-minute call

Free · 45 min · No obligation