Category and product architecture, faceted navigation control, and schema at catalogue scale, connected to clean purchase events so you can see what actually moves revenue.
Catalogue sites fail in ways brochure sites do not. These three account for most of it.
Product listing pages buried, thin or duplicated across near-identical filter combinations. Crawl budget drains into permutations while the collections that sell wait to be recrawled.
Product and listing templates carry the most traffic and the most third-party script. Slow LCP costs conversion before it costs ranking, so it hides in the revenue line rather than the SEO report.
Purchase events firing twice, feeds out of sync with the catalogue, ad platforms reporting numbers the backend does not recognise. Every optimisation after that is built on sand.
A perfectly optimised product page inside a broken category structure will not be found, and a well-structured store that loads slowly will be found and abandoned. The two constrain each other.
We fix the structure so the right pages are discoverable, then make the templates fast enough that discovery converts, and verify both against real purchase data rather than rankings.
Crawl the catalogue, map indexation waste and find where revenue pages sit.
Rebuild category hierarchy and facet rules so discovery follows demand.
Ship product and category schema, and strengthen thin listing content.
Fix vitals on product and listing templates where the traffic actually is.
Verify purchase events and feeds so reporting matches the backend.
Store SEO only matters if it shows up in revenue. These figures are from named engagements.
“The store SEO work finally connected traffic, speed and feeds. We can see which collections and templates actually move revenue.”
Head of Growth, D2C Apparel, India
The method is consistent. What changes is which constraint costs the most in each sector.
Catalogue architecture, facet control, bundle and product schema, and feed integrity across the platforms you sell on.
Explore this industryPricing, plan comparison and documentation discoverability, where the catalogue is smaller but intent is far more specific.
Explore this industryInventory-style listings with rapid turnover, where indexation stability matters more than page count.
Explore this industryThese rarely run alone. The failures above usually live in the seam between two of them.
Architecture, Core Web Vitals, indexing and schema that survive a replatform.
ExploreClean data layers and GA4 event frameworks, so reporting reconciles with revenue.
ExploreEntity clarity and answer-ready structure for AI Overviews and answer engines.
ExploreGoogle and Meta built on intent clusters instead of broad match spend.
ExploreResearch and competitor mapping that set the message before the budget.
ExploreFast, accessible builds where structure and tracking ship together.
ExploreGuides on category structure, product page optimisation and turning discovery into revenue.
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Read the guideEach answer opens with the answer, which is what a busy reader and an answer engine both take.
A short call, then a written view of what is limiting results and what we would fix first. If the constraint sits elsewhere, we will say so.