Capture high-intent product searches across every SKU and category

Catalogue keyword cannibalisation

Several collections and filters chase the same commercial term, splitting ranking signals so none of them win.

Thin category and faceted pages

Filter and sort parameters create near-identical URLs, and category pages carry a headline and a grid with no copy that could rank.

Invisible technical debt

Deep pagination, orphaned products, missing schema and slow templates leave large parts of the catalogue unindexed.

Content that doesn't scale

Supplier descriptions get copy-pasted everywhere, so your product pages compete with every retailer using the same words.

Missing from AI shopping answers

Buyers increasingly ask AI assistants what to buy, and most stores have no idea whether they are recommended.

Rankings not tied to revenue

Position reports rarely separate the terms that convert from the long tail that only looks good in a chart.

Audit the catalogue architecture

Find orphaned URLs, missing product schema, parameter duplicates, indexation bloat and slow templates across the full store.

• — Catalogue crawl
• — Schema checks
• — Parameter duplicates
• — Core Web Vitals

Map each intent to one URL

Cluster high-volume commercial searches and assign each cluster to the one category or collection page that should own it.

• — Commercial clusters
• — Category mapping
• — Overlap fixes
• — Seasonal timing

Optimise in your brand voice

RankWriter produces brand-voiced category guides, product copy, FAQs and internal links based on what already ranks.

• — Category copy
• — Product descriptions
• — FAQ and schema
• — Internal linking

Monitor categories and AI mentions

Track desktop and mobile positions per collection daily and see whether AI assistants cite your store.

• — Daily tracking
• — Drop alerts
• — AI visibility
• — Live reporting