SEO-correct, AI-ready, built to perform.
Most web agencies build websites and then hand them to an SEO agency to fix. GliscoLab builds websites that are already technically correct — server-rendered, properly structured, and eligible for both traditional search rankings and AI-generated answer citations from day one.
Quick Answer
GliscoLab designs and develops websites that are SEO-correct from the ground up — server-side rendered, structured for AI extractability, built on performance-first frameworks (primarily Next.js), and technically configured for both traditional search rankings and AI search visibility.
The problem with most agency websites.
The majority of small business websites are built with one priority: visual design. SEO is an afterthought. Performance is addressed when someone complains. Structured data is never implemented. The result is a website that looks professional but cannot be properly indexed by Google, cannot render content for AI systems, and starts ranking nothing.
GliscoLab takes a different approach. Every website we build starts with the technical and structural requirements of modern search — then the design serves that foundation.
What GliscoLab builds into every website.
Server-side rendering — non-negotiable
All critical content — headings, body text, metadata, internal links — is server-rendered in the initial HTML response. Google and AI systems can read it without executing JavaScript. This is a fundamental requirement for search performance that many agencies ignore.
Technical SEO built in
Clean URL architecture, canonical tags, XML sitemaps, robots.txt, hreflang where needed, breadcrumb schema, and proper redirect logic — configured correctly from launch, not retrofitted later.
AI-extractable content structure
Answer-first content blocks, FAQ sections, definition blocks, and comparison tables built as structured HTML — not just visual design elements. These make pages eligible for Google AI Overviews, featured snippets, and AI citation.
Core Web Vitals performance
LCP, INP, and CLS optimised from the build level — image optimisation via Next.js Image component, font loading via Next.js Font, no layout shift, fast time to first byte. Performance is not an add-on; it is a build requirement.
Schema markup implementation
Organisation, LocalBusiness, Service, BreadcrumbList, FAQPage, and Article schema — implemented correctly and validated before launch.
Modern framework — Next.js
GliscoLab builds primarily on Next.js deployed via Vercel — the most SEO-capable framework available, with native support for SSR, SSG, ISR, image optimisation, and performance monitoring.
What ships with every build.
- Server-side rendering on every page — crawlers and AI see the content, not an empty shell
- Clean URL architecture, canonical tags, XML sitemap, robots.txt
- Schema markup: Organization, LocalBusiness, Service, FAQPage, Article, BreadcrumbList
- Core Web Vitals targets built in — LCP < 2.5s, INP < 200ms, CLS < 0.1
- Next.js Image + Font optimisation — no layout shift, optimised format delivery
- Answer-first content blocks, FAQ sections, definition blocks for AI extraction
- Deployment on Vercel with preview URLs, HTTPS, zero-downtime releases
