TechnologiesArtificial intelligenceInformation technologyUI/UX
Technology consulting: problem-led pages for cloud, AI and product engineering
A technology consultancy described what it could do, not what buyers needed solved. I rebuilt its content around buyer problems, risks and delivery decisions.
- Client
- Technology and product engineering consultancy
- My role
- Content strategist
- Engagement
- 90 day pilot
The team had deep technical expertise, but service pages were lists of capabilities. Buyers could not see how the company handled risk, integration, governance or time to value.
How I diagnosed it
Before changing anything, I separated the real problem from its symptoms.
Interviewed technical leaders and the sales team
Mapped service lines to buying triggers and implementation concerns
Compared competitor service pages
Checked whether the site explained delivery approach, architecture decisions and proof
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1
Wrote solution pages for clear buyer problems
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2
Supported them with technical explainers, implementation guides and migration resources
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3
Used expert interviews to capture practical trade-offs instead of generic summaries
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4
Connected technical content to consultation pathways and case evidence where permission existed
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5
Planned topic clusters and internal links across service lines
What I delivered
The concrete assets and systems the team kept using after launch.
- Problem-led service pages
- Technical explainers
- Implementation guides
- Readiness checklist
- SME interview process
- Topic cluster and internal-linking map
How success was measured
Agreed before launch and compared against a baseline, so progress was real, not assumed.
- Non-brand visibility by service line
- Qualified organic sessions
- Consultation requests
- Sales feedback on lead relevance