Note: This case study includes placeholder metrics (
+XX%) so you can replace them with real results before publishing.
The problem
The brand had:
- product/category pages that didn't answer common pre-purchase questions
- thin content that wasn't easy to extract or cite
- inconsistent internal linking between category guides and product pages
The approach
We built "AI-ready" pages using:
- clear definitions and comparisons
- structured FAQs
- tables and checklists
- internal links that connect guides ↔ categories ↔ products
What we built
1) Structured buying guides
We created guides that answered:
- how to choose the right product
- key specs and comparisons
- common pitfalls
- care/maintenance questions
2) A programmatic template (with quality gates)
We used a consistent template for category-support pages:
- summary answer first
- H2 sections matching key questions
- comparison table
- internal links to related guides
See:
3) Internal linking improvements
- guide ↔ category ↔ related guides
- "related resources" module on key pages
- consistent anchor naming
See:
Results (replace with real numbers)
- AI referrals: +XX% in 60 days
- Organic impressions: +XX% in 60 days
What made it work
- Structured answers (easy to extract)
- Helpful artifacts (tables/checklists)
- Connected topic graph (internal links)
Steal this checklist
- Pick one category to "own"
- Publish 5–10 supporting pages answering fan-out questions
- Add comparison tables and FAQs
- Link everything into a cluster
- Refresh based on performance monthly