Next.js
Server-rendered, fast and SEO-ready sites
Architecture designed for scale.
GXA is built on independently scaling services: content production, sports data, site engine and distribution. Each is the single owner of its domain.
Four architectural principles
Service-oriented design
Every capability is its own service; fault isolation and independent scaling come built in.
Quality gates
Content passes automated scoring before publish; quality is an architectural layer, not a checklist.
Data ownership
Each service solely owns its data; systems talk only through contracted APIs.
Continuous measurement
Every step from production to indexing is measured and fed back.
End-to-end architecture flow
The same data→produce→score→publish→distribute→measure pipeline runs within service boundaries.
- Data
- Produce
- Score
- Publish
- Distribute
- Measure & Revise
Our approach to AI
No single-model lock-in: multiple LLMs (DeepSeek, Gemini, ChatGPT, Claude) are used per task, and any other model you require can be integrated. Outputs are scored with SERP data; underperforming content is autonomously revised. Here AI isn't a feature. It's the production line itself.
Security
Role-based access, two-factor authentication, API-key machine access and isolated data boundaries between services.
// AMP
A paired AMP version for news and articles
The platform can also publish an AMP version generated automatically from the same content. It gives very fast mobile pages and eligibility for AMP-specific search surfaces; it does not promise rankings or traffic.
Automatic paired page, per-site address
News and article pages are published with an AMP version generated from the same content alongside the regular page; the system handles the canonical and amphtml relationship. The AMP address is a separate address chosen per site from the panel (for example a subdomain), with no manual server work per page.
Validated before it is served
AMP output is validated by the system before it is served; invalid markup is not published as AMP. Styles are kept within AMP's limits and colours are checked for contrast. The feature is switched on per site and is currently available on supported templates.
Technology stack
.NET
The runtime for our service-oriented APIs
MongoDB
Document database, each service owning its own data
DeepSeek / Gemini / ChatGPT / Claude
Multi-model AI content production; any requested LLM can be integrated
Ahrefs
Keyword discovery and competitor data
Google Search Console
Indexing and search performance tracking
Qdrant
Vector search for similarity and near-duplicate detection
RabbitMQ
Production queue: content jobs are queued and retried
Redis
Cache and speed: hot data served in milliseconds
SignalR
Live progress: jobs stream into the panel in real time
GA4
Behavioural analytics: traffic and engagement measurement
GEO
Generative engine visibility: content is produced and measured to be cited in AI answers
See the architecture in a demo.
Evaluate our scaling service architecture with your own scenario.
Request a Demo