Rebuilding Nulab’s organic growth engine

Designing a scalable content system for acquisition, activation, and long-term discoverability

At a glance

  • Scope: Company-wide organic content ecosystem

  • Focus: SEO, content architecture, activation, governance

  • Outcome: Durable, scalable organic growth system that continues to perform through major search and AI shifts



Context

As Nulab grew, content accumulated across blog posts, product pages, and one-off resources. While traffic was increasing, content wasn’t operating as a cohesive system — and it wasn’t clearly supporting education, product adoption, or long-term growth.

It became clear that content needed more than optimization. It needed structure, ownership, and intent.


The problem

Content existed, but it wasn’t functioning as a growth engine.

  • Evergreen SEO lived alongside announcements and brand updates

  • There was no clear lifecycle from discovery to product usage

  • Content ownership and governance were unclear

  • Growth relied on individual pages rather than a system

This made organic performance harder to scale and harder to sustain.


My role

I led the strategy and architecture for rebuilding Nulab’s organic content ecosystem.

My role spanned:

  • Content strategy and SEO leadership

  • Information architecture and taxonomy design

  • Cross-functional collaboration with product, design, and engineering

  • Establishing governance, standards, and long-term ownership

Rather than optimizing individual pages, I focused on designing a system that could compound over time.


The approach

I architected a three-layer content model, each layer with a clear purpose:

  • Blog → Brand, product updates, and company communication

  • Learn hub → Evergreen education, SEO, and product activation

  • Solutions & examples → Commercial and use-case-driven discovery

This structure clarified where content belonged and how users moved through it.

The Learn hub became the foundation of the system. It was designed around:

  • Topic clustering and clear information architecture

  • Intent-led, evergreen content aligned to real user questions

  • Strong internal linking and discoverability

  • Content that supported both learning and product adoption

Over time, the system evolved to prioritize durability — focusing less on short-term keyword wins and more on authority, clarity, and usefulness as search behavior changed.


Key decisions

Several decisions shaped the long-term success of the system:

  • Removed SEO from the blog entirely to prevent dilution and clarify governance

  • Refused a generic “Resources” section, opting for purpose-built hubs instead

  • Prioritized scalability over speed, even when it meant slower early gains

  • Treated content as product infrastructure, not just marketing output

These choices created a cleaner system that was easier to maintain, evolve, and trust internally.


Impact

Today, the Learn hub is the primary driver of Nulab’s non-branded organic discovery.

  • ~56K monthly organic visits

  • ~9.6K ranking keywords

  • ~3.4K top-3 keyword positions

  • ~1.6K referring domains

  • Domain Rating: 74

The content is also surfaced across emerging AI-driven discovery experiences, including Google AI Overviews and large language models like ChatGPT and Perplexity — reflecting its authority, structure, and reference-worthiness.


Why this work still matters

Search has changed dramatically over the past few years, especially with the introduction of AI-driven interfaces. This project reinforced a core belief I still carry:

Durable content performance comes from strong systems, not short-term tactics.

By focusing on structure, intent, and usefulness, the Learn hub has continued to perform and adapt — even as the rules keep changing.


What this demonstrates

  • Systems-level content strategy

  • SEO leadership grounded in long-term thinking

  • Cross-functional collaboration

  • Content as both acquisition and product enablement

  • Adaptation through major search and AI shifts


This case study represents the foundation of how I approach content strategy: build systems first, then let them compound.

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Scaling commercial SEO & competitive acquisition