Category architecture rebuild
- Client
- Anonymised
- Challenge
- Collections competing for the same terms
- Strategy
- Hierarchy and internal linking rebuild
- Result
- +68% non-brand sessions in 5 months
RESULTS · SEARCH PERFORMANCE
See how stronger search foundations, product visibility and AI-search optimisation translate into measurable growth.
Illustrative interface data. Client figures are published only with approval.
Growth model
Search visibility is the input. Qualified traffic and product discovery are the mechanism. Conversion depends on the store, the offer and the market.
Search demand
What the market is actually looking for.
Visibility
Pages eligible and positioned for that demand.
Qualified traffic
Non-brand entries with commercial intent.
Product discovery
Buyers reaching the right products.
Conversions
Influenced by pricing, UX and offer.
Measurement
Eight signals, grouped so it stays clear whether a change came from technical access, coverage, product data or AI-search referencing.
Whether the catalogue can be found at all.
How much of the demand map is addressed.
Whether individual products earn discovery.
Whether AI systems can reference the brand.
Result categories
Each category carries its own reported evidence, drawn from client programmes and published anonymously.
Crawl efficiency, index control and template fixes that make existing demand reachable.
Coverage of category and pre-purchase intent that the catalogue could not answer before.
Product-level ranking and impression distribution across the catalogue, not just top sellers.
Commercial category pages holding position for the segments buyers browse.
Mentions, citations and recommendation appearances across AI answer surfaces.
Case studies
Client names stay private, but the work, the numbers and the timeframes are reported as measured.
Beyond rankings
Position tracking still matters, but it no longer describes the whole surface a product can be discovered on.
| Signal | Traditional view | Modern search view |
|---|---|---|
| Rankings | Position for a keyword | Position plus answer inclusion |
| Traffic | Sessions in aggregate | Non-brand entries by template |
| Products | Not tracked | Product-level discovery |
| Brand | Branded search volume | Mentions across sources |
| AI answers | Not measured | Recommendations and citations |
| Entities | Not measured | Entity consistency |
Results
A reporting surface built around the signals that explain growth.
Figures shown are illustrative interface data, not client results.
Explore
FAQ
Organic visibility and non-brand traffic, keyword coverage across category and product intent, product and category ranking distribution, indexation health, and AI-search signals such as brand mentions, citations and recommendation appearances. Commercial outcomes are read alongside those signals rather than attributed to SEO alone.
Technical and index-control work often moves within the first few months because it unblocks pages that already have demand. Category and product content built for new demand compounds over a longer horizon. Timelines depend on catalogue size, competition and how much of the current architecture has to change.
Through repeated, documented prompt sets across AI search surfaces, tracking whether the brand and its products are mentioned, cited or recommended for the queries that matter. Because these systems change frequently, we treat the measurement as a trend across a consistent prompt set rather than a fixed ranking position.
Yes. Reporting covers visibility, coverage, indexation, product and category performance and AI-search signals, with the changes shipped in the period and the next set of priorities. The intent is to show what moved, why it moved, and what is next.
Yes, and it matters. Blended organic traffic hides whether growth came from brand demand, category pages or product pages. Segmenting rankings, impressions and entries by template shows where the catalogue is actually earning discovery.
Next step
We start by establishing a baseline: what is indexed, what ranks, what is missing and how AI systems currently describe your brand.
No obligation. A senior strategist reviews your store before the call.