This case study documents how we drove +85% page 1 positions, +50% non-branded keyword growth, and +22% commercial term improvements for an ecommerce client in under 9 months. The engagement combined on-page SEO precision, technical fixes, and GEO optimization into an integrated strategy — and the results demonstrate why treating these as separate disciplines is a mistake.
The starting point
When this client came to us, their ecommerce site was generating modest organic traffic but significantly underperforming relative to their product catalog’s potential. A preliminary Ahrefs analysis showed that the majority of their keywords were stuck in positions 11-30 — visible to Google but not to customers. The site had fundamental on-page issues that were preventing it from breaking through to page 1.
The initial audit revealed several compounding problems. Title tags were either duplicated across product categories or stuffed with keywords in a way that Google was clearly devaluing. Meta descriptions were auto-generated from product descriptions, resulting in truncated snippets that underperformed in click-through rate. The header structure (H1, H2, H3) was inconsistent across category and product pages, making it difficult for Google to understand the topical hierarchy. And JSON-LD structured data was dynamically generated but contained errors that prevented rich snippet eligibility.
On-page optimization: the 80/20
On-page SEO for ecommerce follows a clear hierarchy of impact. Title tags are the highest-leverage element — they directly influence both rankings and click-through rate from the SERP. For this client, I rewrote every category page title tag using a methodology I have refined across dozens of ecommerce engagements: primary keyword + modifier + brand, with the exact keyword placement informed by Ahrefs SERP analysis of what the current top 3 results are using.
This is not the same as keyword stuffing. It is studying what Google is currently rewarding for each specific query, then crafting a title that matches that pattern while being genuinely descriptive and clickable. The same approach I used when optimizing title tags for Pokémon’s multi-regional pages applies here — data-driven precision, not template-based guessing.
Header restructuring was the second major on-page fix. The site’s H1 tags were inconsistent — some pages had multiple H1s, some had none, and many used H1 for visual styling rather than semantic structure. I implemented a clean hierarchy: single H1 matching the page’s primary keyword target, H2s for major content sections and product subcategories, H3s for individual product groups or FAQ items. This seemingly simple fix had an outsized impact because it helped Google understand the topical structure of each page.
Technical fixes that compounded the on-page work
The JSON-LD structured data errors were costing the client rich snippets across their entire product catalog. Product schema was missing required fields (price, availability, review aggregate), and the dynamically generated markup contained syntax errors that Google’s Structured Data Testing Tool flagged on over 60% of product pages. Fixing the structured data template at the theme level resolved all 60%+ pages simultaneously.
Crawl efficiency was another technical factor. The site had faceted navigation generating thousands of indexable parameter URLs that diluted crawl budget. Implementing proper canonicalization and noindex directives on non-essential faceted URLs concentrated Google’s crawl attention on the pages that mattered — category and product pages with commercial intent.
GEO optimization: the emerging edge
What set this engagement apart from a standard ecommerce SEO project was the GEO layer. While optimizing on-page elements and fixing technical issues, I simultaneously implemented AI Overview optimization strategies: Speakable schema on key category pages, FAQ schema on product pages, and content restructuring to make product descriptions more extractable by AI systems.
The result was that as the client’s organic rankings improved, they also began appearing in AI Overview citations for commercial queries — a dual visibility advantage that amplified the traffic and revenue impact beyond what on-page SEO alone would have delivered.
Results: +85% page 1 in under 9 months
Within 9 months of the engagement starting, the results were clear. Page 1 keyword positions increased by 85%. Non-branded keywords (the ones that drive new customer acquisition, not just existing brand searches) grew by 50%. Commercial and transactional terms — the queries with direct purchase intent — increased by 22%. All of these metrics were verified through Ahrefs rank tracking with before-and-after screenshots.
The revenue impact was proportional. When your page 1 positions nearly double, the organic traffic and conversion volume follows. For ecommerce, the ROI calculation is straightforward — organic traffic has zero marginal cost per click, so every position gained on page 1 translates directly to margin.
The methodology is transferable
This case study is one of eight verified case studies we share with prospective clients. The on-page SEO methodology applied here — data-driven title optimization, semantic header restructuring, structured data correction, and crawl efficiency improvements — is the same methodology we apply to every ecommerce engagement. The specific optimizations vary by site, but the framework is consistent and repeatable. That is what deep refining a single craft looks like.