Product and category pages that rank, ads that respect your margins, and marketplace campaigns built on real data.
Online stores compete for attention in more places than ever: Google’s results, Amazon’s search, social feeds and now AI shopping answers. Each channel has its own rules, but they reward the same thing — product information that is clear, complete and relevant to what the buyer actually asked.
For e-commerce clients we usually start with the pages and products that already earn revenue, then decide where organic search, Meta ads or Amazon PPC will add the most.
We usually start with the pages and products that already earn revenue, because improving them pays back fastest. Category pages are optimized for the broad searches they can win, product pages for the specific ones, and both are marked up with structured data that search engines and AI shopping answers can read. Where links will help, we build them to category and product pages, not just the homepage. On Amazon, we structure campaigns so spend follows the search terms that convert, measured against your margins.
A bulk, keyword-mapped guest-posting campaign for a custom-merchandise brand: 794 placement URLs recorded across four batches between August 2025 and June 2026, with live checks and Ahrefs data from October 2026.
placement URLs recorded in four batches 794 Placement report, Aug 2025 – Jun 2026
Generative Engine Optimization for a US direct-to-consumer bedding brand. Between the first audit and April 2026, Ahrefs counted Google AI Overview citations rising from 6 to 168 and ChatGPT citations from 1 to 53.
Google AI Overview citations 6 → 168 Ahrefs, first audit → Apr 2026
Tell us what you sell, who you sell to and where. We will suggest where to start.
Send us your website address and we will reply with a short review of the first things worth fixing. No obligation.
