Industries
SEO & AEO for E-commerce
Architecture, product entities, and AI-shopping visibility that convert.
E-commerce SEO is an architecture and entity problem at scale: category structure, faceted navigation, and product entities that rank without cannibalising. Get the structure right and the catalog compounds; get it wrong and crawl budget silently drains into thin, duplicate filter pages while the categories that actually matter go under-crawled.
AEO is no longer a speculative 'future front' for retail — it's already converting better than the channel most stores are built around. AI-driven traffic to US retail sites grew 393% year over year in a recent quarter, 43% of US shoppers have used an AI assistant for product research in the last 90 days, and ChatGPT-referred retail traffic converts at 11.4% versus 5.3% for Google organic — more than double. Structuring products, reviews, and categories as clear entities is how a store stays visible as shopping continues shifting conversational.
The two disciplines reinforce each other: the same product-entity and schema work that earns classic rich results is largely the same foundation AI shopping assistants rely on to cite and recommend a product with confidence.
Why e-commerce SEO is different
Scale — thousands of pages demand systemic, not manual, fixes
Faceted navigation is both the biggest lever and the biggest trap for crawl budget
Product and review entities drive both rich results and AI-shopping citation
AI shopping assistants are already converting referral traffic at more than double the rate of organic search
Category and product pages frequently cannibalise each other without anyone noticing until rankings stall
Focus areas for e-commerce
Category architecture
Scalable structure that ranks without index bloat or wasted crawl budget.
Product entity SEO
Schema and entities that earn rich, trusted results — and AI-shopping citations.
Technical at scale
Crawl, rendering, and speed fixes sized for the whole catalog, not page by page.
Services that deliver this
Where to start
Audits & Reporting
Advanced Manual Technical SEO Audit
Every finding verified by hand — not a tool export with a logo slapped on.
Entity SEO & Knowledge Graph
Entity SEO
Optimise for meaning, not just keywords.
Content & Topical Authority
AI-Friendly & Human-Readable Content Writing
Content structured for machines to quote and humans to finish.
Proof
See it applied
E-commerce brand, mid-size catalog (anonymised, NDA)
Fixing Category Architecture for an E-commerce Catalog
A large catalog was draining crawl budget into thin, duplicate pages. Architecture and entity work refocused it.
Read the case studyTry it yourself first
Free tools for this
Schema
Schema Markup Generator
Generate valid JSON-LD structured data for Organization, Person, Article, FAQPage, Product, LocalBusiness, WebSite, and 10+ other schema types.
Audit
SEO Audit & Checker
Comprehensive technical and on-page SEO analysis — metadata, content quality, headings, schema, performance, and AI search signals. Prioritized fixes.
Entity SEO
Entity Schema Builder
Build entity-focused JSON-LD with sameAs, knowsAbout, and mentions properties. Optimized for Google Knowledge Graph and LLM entity recognition.
FAQ
Common questions
Our category pages don't rank — why?+
Usually thin content, facet chaos consuming crawl budget, or cannibalisation from filtered variants competing against the parent page. Architecture and entity work typically move them once the real cause is identified.
Is product schema worth it?+
Yes — it's foundational for rich results and increasingly for AI shopping answers, which lean on the same structured signals to decide what to cite confidently.
Can you handle large catalogs?+
Yes — the focus is systemic architecture and entities, not editing pages one by one, which doesn't scale past a few hundred SKUs anyway.
Let's talk
Ghost-partner or direct, white-label under NDA, honest about what's real. Book a free strategy call.
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