Hub-and-spoke + 25 GEO + 4 vertical
Core service pillar + 25 location GEO + 4 vertical landings; bidirectional links throughout.
Seasonal Corporate Service · Case Study
A1 Organizasyon — New Year Lead-Gen Model + GA4
An enterprise portal for nationwide New Year lighting & decoration — turned into a one-click lead-gen machine for the seasonal demand peak with location GEO CTAs, dynamic gallery, and GA4 enhanced conversions.
Results
Measurable Outcomes
25
Location GEO pages
Kasım-Ocak / Nov-Jan
Seasonal conversion peaks
8
GA4 enhanced conversion events
Tam / Full
Mobile-first index compliance
The Brief
What was the goal?
The legacy site failed mobile-first indexing; neither GA4 nor enhanced conversions were wired; no seasonal landing optimization existed. All the tools needed to convert peak-season traffic were missing.
The Approach
Which methodology pillars I applied
I applied the Technical (mobile-first), Distribution (hub-and-spoke + GA4 + GTM enhanced conversions), and Entity (LocalBusiness + Service per location) pillars.
See the full process → 47-Point AI-Ready SEO Audit methodology.
Tech Stack
What it's built with
- Next.js 15
- TypeScript
- Google Tag Manager
- GA4 Enhanced Conversions
- Schema.org LocalBusiness
The Build
Key decisions and tradeoffs
Hub-and-spoke content architecture: core service page → 25 location GEO + 4 vertical landings (mall, hotel, corporate, municipality). Every cluster links to the pillar; pillar links back to every cluster.
GA4 + enhanced conversions + GTM setup — form submit, phone tap, WhatsApp tap, quote request — every CTA carries an event ID and is identity-aware. We tracked conversion sources in real time during the seasonal peak.
Dynamic gallery: per-project ImageObject + Photograph schema + lazy-loaded WebP/AVIF. Hero image preloaded; rendered without choking traffic at peak.
Steps Applied
Methodology in practice
GA4 enhanced conversions
Every CTA carries an event ID + parameter set + identity-awareness; real-time tracking during peak.
Dynamic gallery Photograph schema
Per-project image: ImageObject + Photograph schema; AVIF/WebP fallback, lazy-loaded.
Honest Reflection
What I'd Do Differently
During the seasonal peak we handled the WhatsApp inbox manually; no automation. Mid-December, daily messages crossed 200+ and the team couldn't keep up — 35% of leads got their first response after 24 hours. The second season we wired WhatsApp Business API + Twilio + auto-router. In seasonal lead-gen, response speed is itself a conversion signal.
Screenshots
Want this for your project?
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