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E-commerce

E-commerce SEO

Ongoing organic and AI-search growth for online stores, tied to revenue.

Problem

Your store ranks for a handful of terms, spends heavily on ads, and stays invisible when buyers ask AI assistants what to purchase.

Solution

I run architecture, category and product content, technical health, structured data, and links as one managed program aimed at qualified traffic.

Result

You get compounding organic revenue and steady visibility across Google and AI answers, without raising your ad budget.

Most online stores leave money on the table in organic search. A few category pages rank, the rest sit on page three, and the paid budget quietly carries the whole channel. Meanwhile buyers increasingly open an AI assistant, describe what they want, and buy from whichever brand the model names first. I run e-commerce SEO as one managed program that treats organic and AI search as a single growth channel and holds it accountable to revenue, not rankings.

I have spent 12+ years on organic growth across 150+ projects, and stores are where the work pays back fastest. Every fix compounds: a cleaner architecture lifts hundreds of URLs at once, a better category template earns traffic on every product you add, and structured data keeps you eligible for both rich results and AI answers.

What I manage

I own the full organic surface of your store, not a slice of it:

  • Site architecture so category, subcategory, and filter pages map to how people actually search and buy.
  • Category and product content that ranks and converts, from collection intros to specs, FAQs, and comparison blocks.
  • Technical health, including crawl budget, index bloat, Core Web Vitals, faceted navigation, and pagination.
  • Structured data for products, offers, reviews, and breadcrumbs, so you stay eligible for rich results and citations.
  • Links and authority earned through digital PR and content that other sites and models reference.

How the work runs

This is a retainer, not a one-off audit. Each month follows a clear loop:

  • Prioritize the changes with the largest revenue impact for the effort involved.
  • Ship them with your developers, or hand over specs precise enough that any competent team can implement without guesswork.
  • Measure against revenue and assisted conversions, then feed what we learn into the next cycle.

You always know what shipped, what moved, and what comes next. No vanity dashboards, no reports that hide behind traffic graphs.

Built for AI search

AI assistants now sit between your store and a large share of buyers. They favor sources that are well structured, consistently described, and referenced elsewhere. The same foundations that win in Google, clean architecture, precise product data, and genuine authority, are what get your products named in AI answers. I build for both at once, so you are not choosing between today's traffic and where discovery is heading.

What you can expect

  • Organic revenue that grows month over month and compounds as your catalog expands.
  • Less dependence on paid media to hit the same sales numbers.
  • Visibility across Google and AI answers for the queries that lead to purchases.
  • A store that stays technically healthy as you add products, categories, and markets.

FAQ

How is this different from a one-time SEO audit? An audit hands you a list and walks away. I prioritize, ship, and measure every month, so improvements actually reach production and keep building on each other.

Do you work with my platform? Yes. The approach fits Shopify, WooCommerce, Magento, and custom builds. Architecture, content, technical health, and structured data matter on every platform, and I adapt the specifics to yours.

How soon will I see results? Technical and on-page fixes can move rankings within weeks, while authority and category growth compound over months. Because we tie work to revenue from the start, you see the direction of travel early.

retainer

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