Case Study
TabelaTR
Turkish signage industry hub — 1,068+ programmatic pages covering 44 sectors across 81 provinces.
Tech stack
- Frontend
- Next.js, Tailwind CSS
- Hosting
- Vercel
- Content
- 1,068+ programmatic pages (44 sectors × 13 materials × provinces)
- Entity
- Wikidata Q138652526
- Local SEO
- 81-province Google Maps integration
- Language
- Turkish (B2B market: Turkey)
The brief
TabelaTR is the most technically ambitious programmatic SEO project in the portfolio. The Turkish signage industry — covering everything from illuminated storefront signs to vehicle graphics to industrial safety signage — has a fragmented online presence. Most signage companies have outdated or non-existent websites, creating an SEO vacuum for a well-structured hub.
The target audience is the Turkish business owner who needs signage and is searching by sector ("hospital signage"), material ("aluminum composite panel sign"), or location ("signage company Istanbul"). TabelaTR targets all three dimensions simultaneously.
The approach
Applied via the same methodology used across all 16 portfolio sites. Read full methodology →
Programmatic SEO at industry scale: the page count is derived from the intersection matrix of 44 business sectors × 13 signage materials × 81 Turkish provinces. Each combination produces a unique, indexable page with genuine content about the specific signage needs of that sector-material-province combination.
The Wikidata entity Q138652526 was established for TabelaTR as a separate entity from the founder's personal entity — documenting the site as a distinct organization with its own scope, founding date, and industry classification.
The build
The 1,068+ page count was generated from a structured content matrix: 44 sectors (healthcare, retail, hospitality, manufacturing, education, etc.) × 13 materials (aluminum composite, acrylic, stainless steel, vinyl, LED, etc.) × 6 major province groups. Each page template is populated from the intersection data.
The 81-province Google Maps integration embeds a province-specific map on each location page, showing the relevant signage companies in that province. This required sourcing business data from Google Places API and maintaining it as the database updated.
The Wikidata entity Q138652526 connects TabelaTR to the broader signage industry taxonomy in Wikidata, improving entity recognition for Turkish-language search queries about the industry.
Internal linking followed the three-dimensional matrix: a page about "hospital acrylic signage in Istanbul" links to all hospital signage pages, all acrylic material pages, and all Istanbul-province pages — creating a dense, navigable hub structure.
Screenshots
Results
- ⏳TODO: organic traffic metrics pending analytics confirmation.
- ✓1,068+ programmatic pages live and indexing.
- ✓Wikidata Q138652526 entity established and indexed.
- ✓81-province Maps integration live.
What I'd do differently
Programmatic SEO at this scale requires infrastructure planning from day one. The first version of TabelaTR used a flat data structure — rebuilding it as a relational matrix to support the sector × material × province intersection was a significant refactor that could have been avoided.
Local B2B SEO in Turkey responds strongly to Google Maps integration and local business data. Pages with embedded Maps outperformed equivalent pages without them in click-through rate — the map reduces the cognitive load of finding a local supplier.
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