The SEO system that changed how the team created content
Zoho
How a topic cluster model, deep keyword research, and AI-assisted workflows drove a 70% increase in organic traffic and gave the content team a structure it had never had before.
The situation
The content team was publishing regularly but without a coherent structure. Topics were chosen reactively, keyword strategy was inconsistent, and there was no clear model connecting content output to organic search performance or pipeline contribution. Output volume was high. Impact was not.
My role
I owned the SEO and content strategy function with responsibility for building the system, leading the team, and delivering measurable search and engagement outcomes.
What I did
Implemented a topic cluster model aligned with recruiter, HR, and staffing personas, replacing reactive publishing with a structured content architecture
Conducted deep keyword research and competitive analysis to identify high-value content opportunities the market had not yet addressed
Introduced AI-assisted workflows for SERP analysis, content outlining, and optimisation to accelerate production without reducing quality
Built a structured content ecosystem including long-form articles, industry insights, comparison pages, and product explainers
Performed ongoing content audits to consolidate underperforming pages, improve user experience, and align existing content with search intent
Aligned content strategy with sales enablement by producing battlecards, learning resources, and product education materials that supported the sales team directly
Monitored and reported on traffic, conversion rates, keyword rankings, and ROI to ensure every content decision was backed by data
The results
70% increase in organic search traffic
50% improvement in content engagement
Content consistently aligned to sales conversations and pipeline stages
Team transitioned from reactive publishing to a structured, persona-driven content operation
What it proved
Content volume without architecture produces noise. A topic cluster model, built around real audience personas and backed by keyword data, turns a content team into a compounding growth asset rather than a production line.
